Publications

• Pathogenomic fingerprinting to identify associations between tumor morphology and epigenetic states.
  Eur J Cancer Volume: 221 Page(s): 115429
  05/15/2025 Authors: Monabbati S; Corredor G; Pathak T; Peacock C; Yang K; Koyfman S; Scacheri P; Lewis J; Madabhushi A; Viswanath SE
• Artificial intelligence-based virtual staining platform for identifying tumor-associated macrophages from hematoxylin and eosin-stained images.
  Eur J Cancer Volume: 220 Page(s): 115390
  05/02/2025 Authors: Aggarwal A; Jana M; Singh A; Dam T; Maurya H; Pathak T; Orsulic S; Yang K; Chute D; Bishop JA
• Deep Learning Model of Primary Tumor and Metastatic Cervical Lymph Nodes From CT for Outcome Predictions in Oropharyngeal Cancer.
  JAMA Netw Open Volume: 8 Page(s): e258094
  05/01/2025 Authors: Song B; Leroy A; Yang K; Khalighi S; Pandav K; Dam T; Lee J; Stock S; Li XT; Sonuga J
• Multimodal radiopathological integration for prognosis and prediction of adjuvant chemotherapy benefit in resectable lung adenocarcinoma: A multicentre study.
  Cancer Lett Volume: 616 Page(s): 217557
  04/28/2025 Authors: Lin H; Hua J; Gong Z; Chen M; Qiu B; Wu Y; He W; Wang Y; Feng Z; Liang Y
• Deep learning informed multimodal fusion of radiology and pathology to predict outcomes in HPV-associated oropharyngeal squamous cell carcinoma.
  EBioMedicine Volume: 114 Page(s): 105663
  04/01/2025 Authors: Song B; Leroy A; Yang K; Dam T; Wang X; Maurya H; Pathak T; Lee J; Stock S; Li XT
• ADAM: automated digital phenotyping and morphological texture analysis of bone biopsy images using deep learning.
  JBMR Plus Volume: 9 Page(s): ziaf028
  04/01/2025 Authors: Bharadwaj S; Lima F; Pathak TB; Dhamdhere R; Fu P; Malluche H; Rao M; Madabhushi A
• When multiple instance learning meets foundation models: Advancing histological whole slide image analysis.
  Med Image Anal Volume: 101 Page(s): 103456
  04/01/2025 Authors: Xu H; Wang M; Shi D; Qin H; Zhang Y; Liu Z; Madabhushi A; Gao P; Cong F; Lu C
• Artificial intelligence in digital pathology - time for a reality check.
  Nat Rev Clin Oncol Volume: 22 Page(s): 283 - 291
  04/01/2025 Authors: Aggarwal A; Bharadwaj S; Corredor G; Pathak T; Badve S; Madabhushi A
• Stable and discriminating OCT-derived radiomics features for predicting anti-VEGF treatment response in diabetic macular edema.
  Med Phys
  03/14/2025 Authors: Kar SS; Cetin H; Srivastava SK; Madabhushi A; Ehlers JP
• Opportunities for Artificial Intelligence in Oncology: From the Lens of Clinicians and Patients.
  JCO Oncol Pract Page(s): OP2400797
  03/13/2025 Authors: Pandav K; Almahfouz Nasser S; Kimball KH; Higgins K; Madabhushi A
• Artificial Intelligence Applications in Cardio-Oncology: A Comprehensive Review.
  Curr Cardiol Rep Volume: 27 Page(s): 56
  02/19/2025 Authors: Guha A; Shah V; Nahle T; Singh S; Kunhiraman HH; Shehnaz F; Nain P; Makram OM; Mahmoudi M; Al-Kindi S
• Stress testing deep learning models for prostate cancer detection on biopsies and surgical specimens.
  J Pathol Volume: 265 Page(s): 146 - 157
  02/01/2025 Authors: Flannery BT; Sandler HM; Lal P; Feldman MD; Santa-Rosario JC; Pathak T; Mirtti T; Farre X; Correa R; Chafe S
• AI-based tumor-infiltrating lymphocyte scoring system for assessing HCC prognosis in patients undergoing liver resection.
  JHEP Rep Volume: 7 Page(s): 101270
  02/01/2025 Authors: Chen Z; Xie T; Chen S; Li Z; Yao S; Lu X; He W; Tang C; Yang D; Li S
• BEEx Is an Open-Source Tool That Evaluates Batch Effects in Medical Images to Enable Multicenter Studies.
  Cancer Res Volume: 85 Page(s): 218 - 230
  01/15/2025 Authors: Wu Y; Xu X; Cheng Y; Zhang X; Liu F; Li Z; Hu L; Madabhushi A; Gao P; Liu Z
• Novel radiogenomics approach to predict and characterize pneumonitis in stage III NSCLC.
  NPJ Precis Oncol Volume: 8 Page(s): 290
  12/24/2024 Authors: Delasos L; Khorrami M; Viswanathan VS; Jazieh K; Ding Y; Mutha P; Stephans K; Gupta A; Pennell NA; Patil PD
• Clinical Relevance of Computational Pathology Analysis of Interplay Between Kidney Microvasculature and Interstitial Microenvironment.
  Clin J Am Soc Nephrol Volume: 20 Page(s): 239 - 255
  12/23/2024 Authors: Chen Y; Wang B; Demeke D; Fan F; Berthier C; Mariani L; Lafata K; Holzman L; Hodgin J; Janowczyk A
• Machine Vision-Detected Peritumoral Lymphocytic Aggregates Are Associated With Disease-Free Survival in Patients With Papillary Thyroid Carcinoma.
  Lab Invest Volume: 104 Page(s): 102168
  12/01/2024 Authors: Monabbati S; Fu P; Asa SL; Pathak T; Willis JE; Shi Q; Madabhushi A
• Artificial Intelligence-Based Feature Analysis of Pulmonary Vein Morphology on Computed Tomography Scans and Risk of Atrial Fibrillation Recurrence After Catheter Ablation: A Multi-Site Study.
  Circ Arrhythm Electrophysiol Volume: 17 Page(s): e012679
  12/01/2024 Authors: Asaeikheybari G; El-Harasis M; Gupta A; Shoemaker MB; Barnard J; Hunter J; Passman RS; Sun H; Kim HS; Schilling T
• A novel computational pathology approach for identifying gene signatures prognostic of disease-free survival for papillary thyroid carcinomas.
  Eur J Cancer Volume: 212 Page(s): 114326
  11/01/2024 Authors: Monabbati S; Khalighi S; Fu P; Shi Q; Asa SL; Madabhushi A
• Ten challenges and opportunities in computational immuno-oncology.
  J Immunother Cancer Volume: 12
  10/26/2024 Authors: Bao R; Hutson A; Madabhushi A; Jonsson VD; Rosario SR; Barnholtz-Sloan JS; Fertig EJ; Marathe H; Harris L; Altreuter J
• Artificial intelligence performance in testing microfluidics for point-of-care.
  Lab Chip Volume: 24 Page(s): 4998 - 5008
  10/22/2024 Authors: Doganay MT; Chakraborty P; Bommakanti SM; Jammalamadaka S; Battalapalli D; Madabhushi A; Draz MS
• A New Era of Data-Driven Cancer Research and Care: Opportunities and Challenges.
  Cancer Discov Volume: 14 Page(s): 1774 - 1778
  10/04/2024 Authors: Gomez F; Danos AM; Del Fiol G; Madabhushi A; Tiwari P; McMichael JF; Bakas S; Bian J; Davatzikos C; Fertig EJ
• Laterality of Radiation Therapy in Breast Cancer is Not Associated With Increased Risk of Coronary Artery Disease in the Contemporary Era.
  Adv Radiat Oncol Volume: 9 Page(s): 101583
  10/01/2024 Authors: Seth L; Makram O; Essa A; Patel V; Jiang S; Bhave A; Yerraguntla S; Gopu G; Malik S; Swaby J
• QuLF-CT: A Radiomics-Based Tool for Quantification ofLiver Fat Fraction on Cardiac CT.
  JACC Adv Volume: 3 Page(s): 101175
  09/01/2024 Authors: Modanwal G; Dhamdhere R; Khera A; de Lemos JA; Peshock R; Browning J; Joshi P; Neeland I; Al-Kindi S; Madabhushi A
• A prognostic and predictive computational pathology immune signature for ductal carcinoma in situ: retrospective results from a cohort within the UK/ANZ DCIS trial.
  Lancet Digit Health Volume: 6 Page(s): e562 - e569
  08/01/2024 Authors: Li H; Aggarwal A; Toro P; Fu P; Badve SS; Cuzick J; Madabhushi A; Thorat MA
• Towards equitable AI in oncology.
  Nat Rev Clin Oncol Volume: 21 Page(s): 628 - 637
  08/01/2024 Authors: Viswanathan VS; Parmar V; Madabhushi A
• Combination of optical coherence tomography-derived shape and texture features are associated with development of sub-foveal geographic atrophy in dry AMD.
  Sci Rep Volume: 14 Page(s): 17602
  07/30/2024 Authors: Kar SS; Cetin H; Abraham J; Srivastava SK; Madabhushi A; Ehlers JP
• Optical coherence tomography-derived texture-based radiomics features identify eyes with intraocular inflammation in the HAWK clinical trial.
  Heliyon Volume: 10 Page(s): e32232
  07/15/2024 Authors: Sil Kar S; Cetin H; Srivastava SK; Madabhushi A; Ehlers JP
• Image analysis Uncovers associations between immune landscape, collagen structure, and neoadjuvant chemotherapy in high-grade serous ovarian carcinomas.
  Heliyon Volume: 10 Page(s): e33618
  07/15/2024 Authors: Aggarwal A; Corredor G; Fu P; Pathak T; Mirtti T; Modesitt S; Soong TR; Madabhushi A
• Interpretable Survival Risk Prediction for High-Grade Glioma Patients via Radiomic Features from Peritumoral Region.
  Volume: 2024 Page(s): 1 - 5
  07/01/2024 Authors: Dhamdhere R; Bharadwaj S; Aggarwal A; Mutha P; Shi W; Marteau B; Madabhushi A; Wang MD
• Deep learning reveals lung shape differences on baseline chest CT between mild and severe COVID-19: A multi-site retrospective study.
  Comput Biol Med Volume: 177 Page(s): 108643
  07/01/2024 Authors: Hiremath A; Viswanathan VS; Bera K; Shiradkar R; Yuan L; Armitage K; Gilkeson R; Ji M; Fu P; Gupta A
• PatchSorter: a high throughput deep learning digital pathology tool for object labeling.
  NPJ Digit Med Volume: 7 Page(s): 164
  06/20/2024 Authors: Walker C; Talawalla T; Toth R; Ambekar A; Rea K; Chamian O; Fan F; Berezowska S; Rottenberg S; Madabhushi A
• Computational Pathology Assessments of Cardiac Stromal Remodeling: Clinical Correlates and Prognostic Implications in Heart Transplantation.
  Res Sq
  05/15/2024 Authors: Peyster E; Yuan C; Arabyarmohammadi S; Lal P; Feldman M; Fu P; Margulies K; Madabhushi A
• An integrated radiology-pathology machine learning classifier for outcome prediction following radical prostatectomy: Preliminary findings.
  Heliyon Volume: 10 Page(s): e29602
  04/30/2024 Authors: Hiremath A; Corredor G; Li L; Leo P; Magi-Galluzzi C; Elliott R; Purysko A; Shiradkar R; Madabhushi A
• Multi-scale statistical deformation based co-registration of prostate MRI and post-surgical whole mount histopathology.
  Med Phys Volume: 51 Page(s): 2549 - 2562
  04/01/2024 Authors: Li L; Shiradkar R; Gottlieb N; Buzzy C; Hiremath A; Viswanathan VS; MacLennan GT; Lima DO; Gupta K; Shen DL
• Artificial intelligence in neuro-oncology: advances and challenges in brain tumor diagnosis, prognosis, and precision treatment.
  NPJ Precis Oncol Volume: 8 Page(s): 80
  03/29/2024 Authors: Khalighi S; Reddy K; Midya A; Pandav KB; Madabhushi A; Abedalthagafi M
• Beta-defensin index: A functional biomarker for oral cancer detection.
  Cell Rep Med Volume: 5 Page(s): 101447
  03/19/2024 Authors: Ghosh SK; Man Y; Fraiwan A; Waters C; McKenzie C; Lu C; Pfau D; Kawsar H; Bhaskaran N; Pandiyan P
• Image-based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno-oncology Biomarker Working Group on Breast Cancer.
  J Pathol Volume: 262 Page(s): 271 - 288
  03/01/2024 Authors: Jahangir CA; Page DB; Broeckx G; Gonzalez CA; Burke C; Murphy C; Reis-Filho JS; Ly A; Harms PW; Gupta RR
• Precision Medicine in Nephrology: An Integrative Framework of Multidimensional Data in the Kidney Precision Medicine Project.
  Am J Kidney Dis Volume: 83 Page(s): 402 - 410
  03/01/2024 Authors: El-Achkar TM; Eadon MT; Kretzler M; Himmelfarb J; Kidney Precision Medicine Project
• Molecular Signatures of Glomerular Neovascularization in a Patient with Diabetic Kidney Disease.
  Clin J Am Soc Nephrol Volume: 19 Page(s): 266 - 275
  02/01/2024 Authors: Ferkowicz MJ; Verma A; Barwinska D; Melo Ferreira R; Henderson JM; Kirkpatrick M; Silva PS; Steenkamp DW; Phillips CL; Waikar SS
• Failing to Make the Grade: Conventional Cardiac Allograft Rejection Grading Criteria Are Inadequate for Predicting Rejection Severity.
  Circ Heart Fail Volume: 17 Page(s): e010950
  02/01/2024 Authors: Arabyarmohammadi S; Yuan C; Viswanathan VS; Lal P; Feldman MD; Fu P; Margulies KB; Madabhushi A; Peyster EG
• Rank acquisition impact on radiomics estimation (AquIRE) in chest CT imaging: A retrospective multi-site, multi-use-case study.
  Comput Methods Programs Biomed Volume: 244 Page(s): 107990
  02/01/2024 Authors: Cherezov D; Viswanathan VS; Fu P; Gupta A; Madabhushi A
• The chromatin landscape of healthy and injured cell types in the human kidney.
  Nat Commun Volume: 15 Page(s): 433
  01/10/2024 Authors: Gisch DL; Brennan M; Lake BB; Basta J; Keller MS; Melo Ferreira R; Akilesh S; Ghag R; Lu C; Cheng Y-H
• Computational pathology identifies immune-mediated collagen disruption to predict clinical outcomes in gynecologic malignancies.
  Commun Med (Lond) Volume: 4 Page(s): 2
  01/03/2024 Authors: Aggarwal A; Khalighi S; Babu D; Li H; Azarianpour-Esfahani S; Corredor G; Fu P; Mokhtari M; Pathak T; Thayer E
• Texture-Based Radiomic SD-OCT Features Associated With Response to Anti-VEGF Therapy in a Phase III Neovascular AMD Clinical Trial.
  Transl Vis Sci Technol Volume: 13 Page(s): 29
  01/02/2024 Authors: Sil Kar S; Cetin H; Srivastava SK; Madabhushi A; Ehlers JP
• Identifying primary tumor site of origin for liver metastases via a combination of handcrafted and deep learning features.
  J Pathol Clin Res Volume: 10 Page(s): e344
  01/01/2024 Authors: Chen C; Lu C; Viswanathan V; Maveal B; Maheshwari B; Willis J; Madabhushi A
• Vision Transformers for Computational Histopathology.
  IEEE Rev Biomed Eng Volume: 17 Page(s): 63 - 79
  01/01/2024 Authors: Xu H; Xu Q; Cong F; Kang J; Han C; Liu Z; Madabhushi A; Lu C
• Automatic Myeloblast Segmentation in Acute Myeloid Leukemia Images based on Adversarial Feature Learning.
  Comput Methods Programs Biomed Volume: 243
  01/01/2024 Authors: Zhang Z; Arabyarmohammadi S; Leo P; Meyerson H; Metheny L; Xu J; Madabhushi A
• Cardiac Radiomics Are Associated With Dyspnea.
  JACC Adv Volume: 3
  01/01/2024 Authors: Kumar S; Al-Kindi S; Makhlouf MHE; Sivakumar S; Midya A; Modanwal G; Rajagopalan V; Tandon A; Rajagopalan S; Madabhushi A
• Computational Image and Molecular Analysis Reveal Unique Prognostic Features of Immune Architecture in African Versus European American Women with Endometrial Cancer.
  
  12/29/2023 Authors: Madabhushi A; Azarianpour-Esfahani S; Khalighi S; Aggarwal A; Viswanathan V; Fu P; Avril S
• A Review of AI-Based Radiomics and Computational Pathology Approaches in Triple-Negative Breast Cancer: Current Applications and Perspectives.
  Clin Breast Cancer Volume: 23 Page(s): 800 - 812
  12/01/2023 Authors: Corredor G; Bharadwaj S; Pathak T; Viswanathan VS; Toro P; Madabhushi A
• Recurrent Oropharyngeal Squamous Cell Carcinomas Maintain Anti-tumor Immunity and Multinucleation Levels Following Completion of Radiation.
  Head Neck Pathol Volume: 17 Page(s): 952 - 960
  12/01/2023 Authors: Castro P; Corredor G; Koyuncu C; Nordstrom LA; Tiji M; Leavitt T; Lewis JS; Madabhushi A; Frederick MJ; Sandulache VC
• Visual Assessment of 2-Dimensional Levels Within 3-Dimensional Pathology Data Sets of Prostate Needle Biopsies Reveals Substantial Spatial Heterogeneity.
  Lab Invest Volume: 103 Page(s): 100265
  12/01/2023 Authors: Koyuncu C; Janowczyk A; Farre X; Pathak T; Mirtti T; Fernandez PL; Pons L; Reder NP; Serafin R; Chow SSL
• Intra-nucleus mosaic pattern (InMop) and whole-cell Haralick combined-descriptor for identifying and characterizing acute leukemia blasts on single cell peripheral blood images.
  Cytometry A Volume: 103 Page(s): 857 - 867
  11/01/2023 Authors: Tarquino J; Arabyarmohammadi S; Tejada RE; Madabhushi A; Romero E
• Single-cell morphological and topological atlas reveals the ecosystem diversity of human breast cancer.
  Nat Commun Volume: 14 Page(s): 6796
  10/25/2023 Authors: Zhao S; Chen D-P; Fu T; Yang J-C; Ma D; Zhu X-Z; Wang X-X; Jiao Y-P; Jin X; Xiao Y
• Novel Fractal-Based Sub-RPE Compartment OCT Radiomics Biomarkers Are Associated With Subfoveal Geographic Atrophy in Dry AMD.
  IEEE Trans Biomed Eng Volume: 70 Page(s): 2914 - 2921
  10/01/2023 Authors: Kar SS; Cetin H; Abraham J; Srivastava SK; Whitney J; Madabhushi A; Ehlers JP
• Machine Learning Approach for Rapid, Accurate Point-of-Care Prediction of M-Spike Values in Multiple Myeloma.
  JCO Clin Cancer Inform Volume: 7 Page(s): e2300078
  09/01/2023 Authors: Malek E; Wang G-M; Tatsuoka C; Cullen J; Madabhushi A; Driscoll JJ
• Recurrent oropharyngeal squamous cell carcinomas maintain anti-tumor immunity and multinucleation levels following completion of radiation.
  Res Sq
  08/21/2023 Authors: Castro P; Corredor G; Koyuncu C; Nordstrom LA; Tiji M; Leavitt T; Lewis JS; Madabhushi A; Frederick MJ; Sandulache VC
• Radiomic predicts early response to CDK4/6 inhibitors in hormone receptor positive metastatic breast cancer.
  NPJ Breast Cancer Volume: 9 Page(s): 67
  08/11/2023 Authors: Khorrami M; Viswanathan VS; Reddy P; Braman N; Kunte S; Gupta A; Abraham J; Montero AJ; Madabhushi A
• Pitfalls in machine learning-based assessment of tumor-infiltrating lymphocytes in breast cancer: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer.
  J Pathol Volume: 260 Page(s): 498 - 513
  08/01/2023 Authors: Thagaard J; Broeckx G; Page DB; Jahangir CA; Verbandt S; Kos Z; Gupta R; Khiroya R; Abduljabbar K; Acosta Haab G
• Spatial analyses of immune cell infiltration in cancer: current methods and future directions: A report of the International Immuno-Oncology Biomarker Working Group on Breast Cancer.
  J Pathol Volume: 260 Page(s): 514 - 532
  08/01/2023 Authors: Page DB; Broeckx G; Jahangir CA; Verbandt S; Gupta RR; Thagaard J; Khiroya R; Kos Z; Abduljabbar K; Acosta Haab G
• Nondestructive 3D pathology with analysis of nuclear features for prostate cancer risk assessment.
  Volume: 260 Page(s): 390 - 401
  08/01/2023 Authors: Serafin R; Koyuncu C; Xie W; Huang H; Glaser AK; Reder NP; Janowczyk A; True LD; Madabhushi A; Liu JT
• Machine learning driven index of tumor multinucleation correlates with survival and suppressed anti-tumor immunity in head and neck squamous cell carcinoma patients.
  Oral Oncol Volume: 143 Page(s): 106459
  08/01/2023 Authors: Koyuncu CF; Frederick MJ; Thompson LDR; Corredor G; Khalighi S; Zhang Z; Song B; Lu C; Nag R; Sankar Viswanathan V
• CT radiomic signature predicts survival and chemotherapy benefit in stage I and II HPV-associated oropharyngeal carcinoma.
  NPJ Precis Oncol Volume: 7 Page(s): 53
  06/02/2023 Authors: Song B; Yang K; Viswanathan VS; Wang X; Lee J; Stock S; Fu P; Lu C; Koyfman S; Lewis JS
• The evolving use of biomarkers in heart transplantation: Consensus of an expert panel.
  Am J Transplant Volume: 23 Page(s): 727 - 735
  06/01/2023 Authors: Kobashigawa J; Hall S; Shah P; Fine B; Halloran P; Jackson AM; Khush KK; Margulies KB; Sani MM; Patel JK
• Can Radiomics Bridge the Gap Between Immunotherapy and Precision Medicine in Lung Cancer?
  J Thorac Oncol Volume: 18 Page(s): 686 - 688
  06/01/2023 Authors: Delasos L; Madabhushi A; Patil PD
• Deep computational image analysis of immune cell niches reveals treatment-specific outcome associations in lung cancer.
  NPJ Precis Oncol Volume: 7 Page(s): 52
  06/01/2023 Authors: Barrera C; Corredor G; Viswanathan VS; Ding R; Toro P; Fu P; Buzzy C; Lu C; Velu P; Zens P
• Computational pathology improves risk stratification of a multi-gene assay for early stage ER+ breast cancer.
  NPJ Breast Cancer Volume: 9 Page(s): 40
  05/17/2023 Authors: Chen Y; Li H; Janowczyk A; Toro P; Corredor G; Whitney J; Lu C; Koyuncu CF; Mokhtari M; Buzzy C
• Clinical Relevance of Computationally Derived Attributes of Peritubular Capillaries from Kidney Biopsies.
  Kidney360 Volume: 4 Page(s): 648 - 658
  05/01/2023 Authors: Chen Y; Zee J; Janowczyk AR; Rubin J; Toro P; Lafata KJ; Mariani LH; Holzman LB; Hodgin JB; Madabhushi A
• Computerized Quantification of Tumor Infiltrating Lymphocyte (TIL) as a prognostic and predictive factor in ductal carcinoma in situ: Results from the UK/ANZ DCIS randomized trial
  Volume: 68 Page(s): S111 - S111
  04/01/2023 Authors: Li H; Madabhushi A; Badve S; Cuzick J; Thorat MA
• Automated analysis of computerized morphological features of cell clusters associated with malignancy on bile duct brushing whole slide images.
  Cancer Med Volume: 12 Page(s): 6365 - 6378
  03/01/2023 Authors: Monabbati S; Leo P; Bera K; Michael CW; Nezami BG; Harbhajanka A; Madabhushi A
• Integrating Radiomics With Clinicoradiological Scoring Can Predict High-Risk Patients Who Need Surgery in Crohn's Disease: A Pilot Study.
  Inflamm Bowel Dis Volume: 29 Page(s): 349 - 358
  03/01/2023 Authors: Chirra P; Sharma A; Bera K; Cohn HM; Kurowski JA; Amann K; Rivero M-J; Madabhushi A; Lu C; Paspulati R
• Multi-site cross-organ calibrated deep learning (MuSClD): Automated diagnosis of non-melanoma skin cancer.
  Med Image Anal Volume: 84 Page(s): 102702
  02/01/2023 Authors: Zhou Y; Koyuncu C; Lu C; Grobholz R; Katz I; Madabhushi A; Janowczyk A
• Novel radiomic analysis on bi-parametric MRI for characterizing differences between MR non-visible and visible clinically significant prostate cancer.
  Eur J Radiol Open Volume: 10 Page(s): 100496
  01/01/2023 Authors: Li L; Shiradkar R; Tirumani SH; Bittencourt LK; Fu P; Mahran A; Buzzy C; Stricker PD; Rastinehad AR; Magi-Galluzzi C
• Delta radiomic patterns on serial bi-parametric MRI are associated with pathologic upgrading in prostate cancer patients on active surveillance: preliminary findings.
  Front Oncol Volume: 13 Page(s): 1166047
  01/01/2023 Authors: Midya A; Hiremath A; Huber J; Sankar Viswanathan V; Omil-Lima D; Mahran A; Bittencourt LK; Harsha Tirumani S; Ponsky L; Shiradkar R
• OCT-Derived Radiomic Features Predict Anti-VEGF Response and Durability in Neovascular Age-Related Macular Degeneration.
  Ophthalmol Sci Volume: 2 Page(s): 100171
  12/01/2022 Authors: Kar SS; Cetin H; Lunasco L; Le TK; Zahid R; Meng X; Srivastava SK; Madabhushi A; Ehlers JP
• A tumor vasculature-based imaging biomarker for predicting response and survival in patients with lung cancer treated with checkpoint inhibitors.
  Sci Adv Volume: 8 Page(s): eabq4609
  11/25/2022 Authors: Alilou M; Khorrami M; Prasanna P; Bera K; Gupta A; Viswanathan VS; Patil P; Velu PD; Fu P; Velcheti V
• Deep-learning-based hepatic fat assessment (DeHFt) on non-contrast chest CT and its association with disease severity in COVID-19 infections: A multi-site retrospective study.
  EBioMedicine Volume: 85 Page(s): 104315
  11/01/2022 Authors: Modanwal G; Al-Kindi S; Walker J; Dhamdhere R; Yuan L; Ji M; Lu C; Fu P; Rajagopalan S; Madabhushi A
• Image analysis reveals differences in tumor multinucleations in Black and White patients with human papillomavirus-associated oropharyngeal squamous cell carcinoma.
  Cancer Volume: 128 Page(s): 3831 - 3842
  11/01/2022 Authors: Koyuncu CF; Nag R; Lu C; Corredor G; Viswanathan VS; Sandulache VC; Fu P; Yang K; Pan Q; Zhang Z
• Novel Radiomic Measurements of Tumor-Associated Vasculature Morphology on Clinical Imaging as a Biomarker of Treatment Response in Multiple Cancers.
  Clin Cancer Res Volume: 28 Page(s): 4410 - 4424
  10/14/2022 Authors: Braman N; Prasanna P; Bera K; Alilou M; Khorrami M; Leo P; Etesami M; Vulchi M; Turk P; Gupta A
• A machine learning model for separating epithelial and stromal regions in oral cavity squamous cell carcinomas using H&E-stained histology images: A multi-center, retrospective study.
  Oral Oncol Volume: 131 Page(s): 105942
  08/01/2022 Authors: Wu Y; Koyuncu CF; Toro P; Corredor G; Feng Q; Buzzy C; Old M; Teknos T; Connelly ST; Jordan RC
• Oropharyngeal cancer outcomes correlate with p16 status, multinucleation and immune infiltration.
  Mod Pathol Volume: 35 Page(s): 1045 - 1054
  08/01/2022 Authors: Wilde DC; Castro PD; Bera K; Lai S; Madabhushi A; Corredor G; Koyuncu C; Lewis JS; Lu C; Frederick MJ
• Stable and Discriminatory Radiomic Features from the Tumor and Its Habitat Associated with Progression-Free Survival in Glioblastoma: A Multi-Institutional Study.
  AJNR Am J Neuroradiol Volume: 43 Page(s): 1115 - 1123
  08/01/2022 Authors: Verma R; Hill VB; Statsevych V; Bera K; Correa R; Leo P; Ahluwalia M; Madabhushi A; Tiwari P
• The state of the art for artificial intelligence in lung digital pathology.
  J Pathol Volume: 257 Page(s): 413 - 429
  07/01/2022 Authors: Viswanathan VS; Toro P; Corredor G; Mukhopadhyay S; Madabhushi A
• Survival prediction on intrahepatic cholangiocarcinoma with histomorphological analysis on the whole slide images.
  Comput Biol Med Volume: 146 Page(s): 105520
  07/01/2022 Authors: Xie J; Pu X; He J; Qiu Y; Lu C; Gao W; Wang X; Lu H; Shi J; Xu Y
• Radiomic Deformation and Textural Heterogeneity (R-DepTH) Descriptor to Characterize Tumor Field Effect: Application to Survival Prediction in Glioblastoma.
  IEEE Trans Med Imaging Volume: 41 Page(s): 1764 - 1777
  07/01/2022 Authors: Ismail M; Prasanna P; Bera K; Statsevych V; Hill V; Singh G; Partovi S; Beig N; McGarry S; Laviolette P
• Spatial interplay patterns of cancer nuclei and tumor-infiltrating lymphocytes (TILs) predict clinical benefit for immune checkpoint inhibitors.
  Sci Adv Volume: 8 Page(s): eabn3966
  06/03/2022 Authors: Wang X; Barrera C; Bera K; Viswanathan VS; Azarianpour-Esfahani S; Koyuncu C; Velu P; Feldman MD; Yang M; Fu P
• Image analysis reveals molecularly distinct patterns of TILs in NSCLC associated with treatment outcome.
  NPJ Precis Oncol Volume: 6 Page(s): 33
  06/03/2022 Authors: Ding R; Prasanna P; Corredor G; Barrera C; Zens P; Lu C; Velu P; Leo P; Beig N; Li H
• Role of tumor infiltrating lymphocytes and spatial immune heterogeneity in sensitivity to PD-1 axis blockers in non-small cell lung cancer.
  J Immunother Cancer Volume: 10
  06/01/2022 Authors: Lopez de Rodas M; Nagineni V; Ravi A; Datar IJ; Mino-Kenudson M; Corredor G; Barrera C; Behlman L; Rimm DL; Herbst RS
• RADIomic Spatial TexturAl Descriptor (RADISTAT): Quantifying Spatial Organization of Imaging Heterogeneity Associated With Tumor Response to Treatment.
  IEEE J Biomed Health Inform Volume: 26 Page(s): 2627 - 2636
  06/01/2022 Authors: Antunes JT; Ismail M; Hossain I; Wang Z; Prasanna P; Madabhushi A; Tiwari P; Viswanath SE
• Computational Imaging Biomarker Correlation with Intraocular Cytokine Expression in Diabetic Macular Edema: Radiomics Insights from the IMAGINE Study.
  Ophthalmol Sci Volume: 2 Page(s): 100123
  06/01/2022 Authors: Kar SS; Abraham J; Wykoff CC; Sevgi DD; Lunasco L; Brown DM; Srivastava SK; Madabhushi A; Ehlers JP
• OCT-derived SubRPE Compartment Radiomics Features are Associated with the Development of Subfoveal Geographic Atrophy
  Volume: 63
  06/01/2022 Authors: Kar SS; Cetin H; Abraham J; Srivastava SK; Madabhushi A; Ehlers JP
• Exploration of Machine Learning-Enhanced Ellipsoid Zone Mapping and Radiomics-based Textural Features As Biomarkers for Risk of Geographic Atrophy Development in Dry AMD
  Volume: 63
  06/01/2022 Authors: Abraham JR; Kar SS; Cetin H; Srivastava SK; Madabhushi A; Ehlers JP
• Machine Learning to Predict Risk of Relapse Using Cytologic Image Markers in Patients With Acute Myeloid Leukemia Posthematopoietic Cell Transplantation.
  JCO Clin Cancer Inform Volume: 6 Page(s): e2100156
  05/01/2022 Authors: Arabyarmohammadi S; Leo P; Viswanathan VS; Janowczyk A; Corredor G; Fu P; Meyerson H; Metheny L; Madabhushi A
• Computer-extracted features of nuclear morphology in hematoxylin and eosin images distinguish stage II and IV colon tumors.
  J Pathol Volume: 257 Page(s): 17 - 28
  05/01/2022 Authors: Kumar N; Verma R; Chen C; Lu C; Fu P; Willis J; Madabhushi A
• Response to: Correspondence on 'Novel imaging biomarkers predict outcomes in stage III unresectable non-small cell lung cancer treated with chemoradiation and durvalumab' by Zheng et al.
  J Immunother Cancer Volume: 10
  05/01/2022 Authors: Viswanathan VS; Khorrami M; Jazieh K; Fu P; Pennell N; Madabhushi A
• An Imaging Biomarker of Tumor-Infiltrating Lymphocytes to Risk-Stratify Patients With HPV-Associated Oropharyngeal Cancer.
  J Natl Cancer Inst Volume: 114 Page(s): 609 - 617
  04/11/2022 Authors: Corredor G; Toro P; Koyuncu C; Lu C; Buzzy C; Bera K; Fu P; Mehrad M; Ely KA; Mokhtari M
• Novel Imaging Biomarkers to Assess Oncologic Treatment-Related Changes.
  Am Soc Clin Oncol Educ Book Volume: 42 Page(s): 1 - 13
  04/01/2022 Authors: Viswanathan VS; Gupta A; Madabhushi A
• With one eye on the future.
  Cancer Cell Volume: 40 Page(s): 221 - 225
  03/14/2022 Authors: Caldas C; Rescigno M; Turajlic S; Madabhushi A; Zhang Z; Lito P; Brown CE; Pantel K; Haanen J; Duma N
• Novel imaging biomarkers predict outcomes in stage III unresectable non-small cell lung cancer treated with chemoradiation and durvalumab.
  J Immunother Cancer Volume: 10
  03/01/2022 Authors: Jazieh K; Khorrami M; Saad A; Gad M; Gupta A; Patil P; Viswanathan VS; Rajiah P; Nock CJ; Gilkey M
• Deep Learning-Based Discrimination of Benign Naevi and Melanoma from Pigmented Lesions
  Volume: 102 Page(s): 367 - 368
  03/01/2022 Authors: Zhou Y; Katz I; Madabhushi A
• Glomerular Segmentation and Classification Pipeline Using NEPTUNE Whole Slide Images
  Volume: 102 Page(s): 1170 - 1172
  03/01/2022 Authors: Ambekar A; Wang B; Cassol C; Zee J; Li X; Chen Y; Rangavajla A; Kapur B; Holzman L; Hodgin J
• Glomerular Segmentation and Classification Pipeline Using NEPTUNE Whole Slide Images
  Volume: 35 Page(s): 1170 - 1172
  03/01/2022 Authors: Ambekar A; Wang B; Cassol C; Zee J; Li X; Chen Y; Rangavajla A; Kapur B; Holzman L; Hodgin J
• Deep Learning-Based Discrimination of Benign Naevi and Melanoma from Pigmented Lesions
  Volume: 35 Page(s): 367 - 368
  03/01/2022 Authors: Zhou Y; Katz I; Madabhushi A
• Artificial intelligence and melanoma: A comprehensive review of clinical, dermoscopic, and histologic applications.
  Pigment Cell Melanoma Res Volume: 35 Page(s): 203 - 211
  03/01/2022 Authors: Stiff KM; Franklin MJ; Zhou Y; Madabhushi A; Knackstedt TJ
• Segmentation and Classification of Lymphocytes in the NEPTUNE Digital Kidney Biopsies via PatchSorter
  Volume: 102 Page(s): 1180 - 1181
  03/01/2022 Authors: Sotolongo G; Je J; Li X; Zee J; Wang B; Chen Y; Talawalla T; Hodgin J; Madabhushi A; Ozeki T
• Segmentation and Classification of Lymphocytes in the NEPTUNE Digital Kidney Biopsies via PatchSorter
  Volume: 35 Page(s): 1180 - 1181
  03/01/2022 Authors: Sotolongo G; Je J; Li X; Zee J; Wang B; Chen Y; Talawalla T; Hodgin J; Madabhushi A; Ozeki T
• Fifty years of SPIE Medical Imaging proceedings papers.
  J Med Imaging (Bellingham) Volume: 9 Page(s): 012207
  02/01/2022 Authors: Nishikawa RM; Deserno TM; Madabhushi A; Krupinski EA; Summers RM; Hoeschen C; Mello-Thoms C; Myers KJ; Kupinski MA; Siewerdsen JH
• Computational image features of immune architecture is associated with clinical benefit and survival in gynecological cancers across treatment modalities.
  J Immunother Cancer Volume: 10
  02/01/2022 Authors: Azarianpour S; Corredor G; Bera K; Leo P; Fu P; Toro P; Joehlin-Price A; Mokhtari M; Mahdi H; Madabhushi A
• History of the SPIE Medical Imaging Digital Pathology Conference.
  J Med Imaging (Bellingham) Volume: 9 Page(s): 012203
  02/01/2022 Authors: Madabhushi A; Gurcan MN
• Predicting cancer outcomes with radiomics and artificial intelligence in radiology.
  Nat Rev Clin Oncol Volume: 19 Page(s): 132 - 146
  02/01/2022 Authors: Bera K; Braman N; Gupta A; Velcheti V; Madabhushi A
• Prostate Cancer Risk Stratification via Nondestructive 3D Pathology with Deep Learning-Assisted Gland Analysis.
  Cancer Res Volume: 82 Page(s): 334 - 345
  01/15/2022 Authors: Xie W; Reder NP; Koyuncu C; Leo P; Hawley S; Huang H; Mao C; Postupna N; Kang S; Serafin R
• Evaluating the utility of deep learning for predicting therapeutic response in diabetic eye disease.
  Front Ophthalmol (Lausanne) Volume: 2
  01/01/2022 Authors: Dong V; Sevgi DD; Kar SS; Srivastava SK; Ehlers JP; Madabhushi A
• Novel MRI deformation-heterogeneity radiomic features are associated with molecular subgroups and overall survival in pediatric medulloblastoma: Preliminary findings from a multi-institutional study.
  Front Oncol Volume: 12 Page(s): 915143
  01/01/2022 Authors: Iyer S; Ismail M; Tamrazi B; Salloum R; de Blank P; Margol A; Correa R; Chen J; Bera K; Statsevych V
• New Radiomic Markers of Pulmonary Vein Morphology Associated With Post-Ablation Recurrence of Atrial Fibrillation.
  IEEE J Transl Eng Health Med Volume: 10 Page(s): 1800209
  01/01/2022 Authors: Labarbera MA; Atta-Fosu T; Feeny AK; Firouznia M; Mchale M; Cantlay C; Roach T; Axtell A; Schoenhagen P; Barnard J
• An End-to-End Integrated Clinical and CT-Based Radiomics Nomogram for Predicting Disease Severity and Need for Ventilator Support in COVID-19 Patients: A Large Multisite Retrospective Study.
  Front Radiol Volume: 2
  01/01/2022 Authors: Vaidya P; Alilou M; Hiremath A; Gupta A; Bera K; Furin J; Armitage K; Gilkeson R; Yuan L; Fu P
• Quantitative Nuclear Histomorphometry Predicts Molecular Subtype and Clinical Outcome in Medulloblastomas: Preliminary Findings.
  J Pathol Inform Volume: 13 Page(s): 100090
  01/01/2022 Authors: Whitney J; Dollinger L; Tamrazi B; Hawes D; Couce M; Marcheque J; Judkins A; Margol A; Madabhushi A
• Combined Radiomic and Visual Assessment for Improved Detection of Lung Adenocarcinoma Invasiveness on Computed Tomography Scans: A Multi-Institutional Study.
  Front Oncol Volume: 12 Page(s): 902056
  01/01/2022 Authors: Vaidya P; Bera K; Linden PA; Gupta A; Rajiah PS; Jones DR; Bott M; Pass H; Gilkeson R; Jacono F
• Machine learning derived ECG risk score improves cardiovascular risk assessment in conjunction with coronary artery calcium scoring.
  Front Cardiovasc Med Volume: 9 Page(s): 976769
  01/01/2022 Authors: Siva Kumar S; Al-Kindi S; Tashtish N; Rajagopalan V; Fu P; Rajagopalan S; Madabhushi A
• Prostate Surface Distension and Tumor Texture Descriptors From Pre-Treatment MRI Are Associated With Biochemical Recurrence Following Radical Prostatectomy: Preliminary Findings.
  Front Oncol Volume: 12 Page(s): 841801
  01/01/2022 Authors: Shiradkar R; Ghose S; Mahran A; Li L; Hubbard I; Fu P; Tirumani SH; Ponsky L; Purysko A; Madabhushi A
• Artificial intelligence applied to breast pathology.
  Virchows Arch Volume: 480 Page(s): 191 - 209
  01/01/2022 Authors: Yousif M; van Diest PJ; Laurinavicius A; Rimm D; van der Laak J; Madabhushi A; Schnitt S; Pantanowitz L
• The tale of TILs in breast cancer: A report from The International Immuno-Oncology Biomarker Working Group.
  NPJ Breast Cancer Volume: 7 Page(s): 150
  12/01/2021 Authors: El Bairi K; Haynes HR; Blackley E; Fineberg S; Shear J; Turner S; de Freitas JR; Sur D; Amendola LC; Gharib M
• Quality control stress test for deep learning-based diagnostic model in digital pathology.
  Mod Pathol Volume: 34 Page(s): 2098 - 2108
  12/01/2021 Authors: Schmig-Markiefka B; Pryalukhin A; Hulla W; Bychkov A; Fukuoka J; Madabhushi A; Achter V; Nieroda L; Bttner R; Quaas A
• Quantitative Imaging Biomarkers in Age-Related Macular Degeneration and Diabetic Eye Disease: A Step Closer to Precision Medicine.
  J Pers Med Volume: 11
  11/08/2021 Authors: Kalra G; Kar SS; Sevgi DD; Madabhushi A; Srivastava SK; Ehlers JP
• QUANTITATIVE LUNG AIRWAY MORPHOLOGY (QUALM) FEATURES ON CHEST CT SCANS ARE ASSOCIATED WITH RESPONSE AND OVERALL SURVIVAL IN LUNG CANCER PATIENTS TREATED WITH CHECKPOINT INHIBITORS
  Volume: 9 Page(s): A44 - A44
  11/01/2021 Authors: Alilou M; Patton T; Patil P; Pennell N; Bera K; Gupta A; Fu P; Velcheti V; Madabhushi A
• SPATIAL ARRANGEMENT AND DENSITY OF TUMOR-INFILTRATING LYMPHOCYTES (TILS) PREDICTS RESPONSE TO IMMUNOTHERAPY IN HEAD AND NECK SQUAMOUS CELL CARCINOMA PATIENTS
  Volume: 9 Page(s): A868 - A868
  11/01/2021 Authors: Nag R; Corredor G; Viswanathan V; Fu P; Lewis J; Wasman J; Teknos T; Patel M; Pan Q; Madabhushi A
• Integrated Clinical and CT Based Artificial Intelligence Nomogram for Predicting Severity and Need for Ventilator Support in COVID-19 Patients: A Multi-Site Study.
  IEEE J Biomed Health Inform Volume: 25 Page(s): 4110 - 4118
  11/01/2021 Authors: Hiremath A; Bera K; Yuan L; Vaidya P; Alilou M; Furin J; Armitage K; Gilkeson R; Ji M; Fu P
• Quick Annotator: an open-source digital pathology based rapid image annotation tool.
  J Pathol Clin Res Volume: 7 Page(s): 542 - 547
  11/01/2021 Authors: Miao R; Toth R; Zhou Y; Madabhushi A; Janowczyk A
• Special issue on computational pathology: An overview.
  Med Image Anal Volume: 73 Page(s): 102151
  10/01/2021 Authors: Madabhushi A; Reyes-Aldasoro CC
• Impact of p16 Status and Anatomical Site in Anti-PD-1 Immunotherapy-Treated Recurrent/Metastatic Head and Neck Squamous Cell Carcinoma Patients.
  Cancers (Basel) Volume: 13
  09/28/2021 Authors: Clancy K; Hamill CS; O'Neill WQ; Vu B; Thuener J; Gui S; Li S; Fowler N; Rezaee R; Lavertu P
• Cadherin-11, Sparc-related modular calcium binding protein-2, and Pigment epithelium-derived factor are promising non-invasive biomarkers of kidney fibrosis.
  Kidney Int Volume: 100 Page(s): 672 - 683
  09/01/2021 Authors: Schmidt IM; Colona MR; Kestenbaum BR; Alexopoulos LG; Palsson R; Srivastava A; Liu J; Stillman IE; Rennke HG; Vaidya VS
• Characterization of Ultra-Widefield Angiographic Vascular Features in Diabetic Retinopathy with Automated Severity Classification.
  Ophthalmol Sci Volume: 1
  09/01/2021 Authors: Sevgi DD; Srivastava SK; Whitney J; O'Connell M; Kar SS; Hu M; Reese J; Madabhushi A; Ehlers JP
• Prospective Evaluation of Repeatability and Robustness of Radiomic Descriptors in Healthy Brain Tissue Regions In Vivo Across Systematic Variations in T2-Weighted Magnetic Resonance Imaging Acquisition Parameters.
  J Magn Reson Imaging Volume: 54 Page(s): 1009 - 1021
  09/01/2021 Authors: Eck B; Chirra PV; Muchhala A; Hall S; Bera K; Tiwari P; Madabhushi A; Seiberlich N; Viswanath SE
• Collagen fiber orientation disorder from H&E images is prognostic for early stage breast cancer: clinical trial validation.
  NPJ Breast Cancer Volume: 7 Page(s): 104
  08/06/2021 Authors: Li H; Bera K; Toro P; Fu P; Zhang Z; Lu C; Feldman M; Ganesan S; Goldstein LJ; Davidson NE
• Radiomics-based assessment of ultra-widefield leakage patterns and vessel network architecture in the PERMEATE study: insights into treatment durability.
  Br J Ophthalmol Volume: 105 Page(s): 1155 - 1160
  08/01/2021 Authors: Prasanna P; Bobba V; Figueiredo N; Sevgi DD; Lu C; Braman N; Alilou M; Sharma S; Srivastava SK; Madabhushi A
• Multi-Compartment OCT-derived Radiomics Features to predict Anti-VEGF Treatment Durability for Diabetic Macular Edema
  Volume: 62
  08/01/2021 Authors: Kar SS; Sevji DD; Dong V; Srivastava SK; Madabhushi A; Ehlers JP
• Artificial Intelligence in Surveillance of Barrett's Esophagus.
  Cancer Res Volume: 81 Page(s): 3446 - 3448
  07/01/2021 Authors: Madabhushi A; Toro P; Willis JE
• A prognostic and predictive computational pathology image signature for added benefit of adjuvant chemotherapy in early stage non-small-cell lung cancer.
  EBioMedicine Volume: 69 Page(s): 103481
  07/01/2021 Authors: Wang X; Bera K; Barrera C; Zhou Y; Lu C; Vaidya P; Fu P; Yang M; Schmid RA; Berezowska S
• An integrated nomogram combining deep learning, Prostate Imaging-Reporting and Data System (PI-RADS) scoring, and clinical variables for identification of clinically significant prostate cancer on biparametric MRI: a retrospective multicentre study.
  Lancet Digit Health Volume: 3 Page(s): e445 - e454
  07/01/2021 Authors: Hiremath A; Shiradkar R; Fu P; Mahran A; Rastinehad AR; Tewari A; Tirumani SH; Purysko A; Ponsky L; Madabhushi A
• Computationally Derived Cribriform Area Index from Prostate Cancer Hematoxylin and Eosin Images Is Associated with Biochemical Recurrence Following Radical Prostatectomy and Is Most Prognostic in Gleason Grade Group 2.
  Eur Urol Focus Volume: 7 Page(s): 722 - 732
  07/01/2021 Authors: Leo P; Chandramouli S; Farr X; Elliott R; Janowczyk A; Bera K; Fu P; Janaki N; El-Fahmawi A; Shahait M
• An automated computational image analysis pipeline for histological grading of cardiac allograft rejection.
  Eur Heart J Volume: 42 Page(s): 2356 - 2369
  06/21/2021 Authors: Peyster EG; Arabyarmohammadi S; Janowczyk A; Azarianpour-Esfahani S; Sekulic M; Cassol C; Blower L; Parwani A; Lal P; Feldman MD
• A Novel Nodule Edge Sharpness Radiomic Biomarker Improves Performance of Lung-RADS for Distinguishing Adenocarcinomas from Granulomas on Non-Contrast CT Scans.
  Cancers (Basel) Volume: 13
  06/03/2021 Authors: Alilou M; Prasanna P; Bera K; Gupta A; Rajiah P; Yang M; Jacono F; Velcheti V; Gilkeson R; Linden P
• Novel Morphologic Biomarkers of Cardiac Allograft Remodeling are Associated with Multiple Peri- and Post-transplant Inflammatory Processes
  Volume: 21 Page(s): 535 - 535
  06/01/2021 Authors: Yuan C; Arabyarmohammadi S; Li H; Peyster E; Lal P; Feldman M; Margulies K; Madabhushi A
• Imaging Features of Vessels and Leakage Patterns Predict Extended Interval Aflibercept Dosing Using Ultra-Widefield Angiography in Retinal Vascular Disease: Findings From the PERMEATE Study.
  IEEE Trans Biomed Eng Volume: 68 Page(s): 1777 - 1786
  06/01/2021 Authors: Moosavi A; Figueiredo N; Prasanna P; Srivastava SK; Sharma S; Madabhushi A; Ehlers JP
• Computer extracted gland features from H&E predicts prostate cancer recurrence comparably to a genomic companion diagnostic test: a large multi-site study.
  NPJ Precis Oncol Volume: 5 Page(s): 35
  05/03/2021 Authors: Leo P; Janowczyk A; Elliott R; Janaki N; Bera K; Shiradkar R; Farr X; Fu P; El-Fahmawi A; Shahait M
• A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises.
  Proc IEEE Inst Electr Electron Eng Volume: 109 Page(s): 820 - 838
  05/01/2021 Authors: Zhou SK; Greenspan H; Davatzikos C; Duncan JS; van Ginneken B; Madabhushi A; Prince JL; Rueckert D; Summers RM
• Distinguishing granulomas from adenocarcinomas by integrating stable and discriminating radiomic features on non-contrast computed tomography scans.
  Eur J Cancer Volume: 148 Page(s): 146 - 158
  05/01/2021 Authors: Khorrami M; Bera K; Thawani R; Rajiah P; Gupta A; Fu P; Linden P; Pennell N; Jacono F; Gilkeson RC
• Computerized spermatogenesis staging (CSS) of mouse testis sections via quantitative histomorphological analysis.
  Med Image Anal Volume: 70 Page(s): 101835
  05/01/2021 Authors: Xu J; Lu H; Li H; Yan C; Wang X; Zang M; Rooij DGD; Madabhushi A; Xu EY
• Computerized tumor multinucleation index (MuNI) is prognostic in p16+ oropharyngeal carcinoma.
  J Clin Invest Volume: 131
  04/15/2021 Authors: Koyuncu CF; Lu C; Bera K; Zhang Z; Xu J; Toro P; Corredor G; Chute D; Fu P; Thorstad WL
• Correction to: T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning-derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology.
  Eur Radiol Volume: 31 Page(s): 2644
  04/01/2021 Authors: Shiradkar R; Panda A; Leo P; Janowczyk A; Farre X; Janaki N; Li L; Pahwa S; Mahran A; Buzzy C
• A new machine learning approach for predicting likelihood of recurrence following ablation for atrial fibrillation from CT.
  BMC Med Imaging Volume: 21 Page(s): 45
  03/09/2021 Authors: Atta-Fosu T; LaBarbera M; Ghose S; Schoenhagen P; Saliba W; Tchou PJ; Lindsay BD; Desai MY; Kwon D; Chung MK
• Harnessing non-destructive 3D pathology.
  Nat Biomed Eng Volume: 5 Page(s): 203 - 218
  03/01/2021 Authors: Liu JTC; Glaser AK; Bera K; True LD; Reder NP; Eliceiri KW; Madabhushi A
• Multiple Instance Learning Predicts Recurrence from the Nuclear Morphology in Both Lymph Node Positive and Negative ER plus Breast Cancer H&E Slides
  Volume: 101 Page(s): 147 - 149
  03/01/2021 Authors: Shao D; Lu C; Li H; Fu P; Madabhushi A
• Combination of Computerized Patterns of Tumor Multinucleation and Tumor-Infiltrating Lymphocytes on H&E Images is Prognostic for Overall and Disease-Free Survival in p16 positive Oropharyngeal Squamous Cell Carcinoma Patients Including AJCC 8th Edition Stage Groups: A Multi-Site Study
  Volume: 101 Page(s): 777 - 778
  03/01/2021 Authors: Koyuncu C; Corredor G; Lu C; Toro P; Fu P; Koyfman S; Chute D; Adelstein D; Thorstad W; Bishop J
• Computerized Measurements of Nuclear Morphology Features, Mitosis Rate, and Tubule Formation from H&E Images Predicts Recurrence-Free Survival in ER plus & LN- Invasive Breast Cancer: A Multi-Institutional Study
  Volume: 101 Page(s): 90 - 91
  03/01/2021 Authors: Chen Y; Li H; Janowczyk A; Koyuncu C; Toro P; Corredor G; Whitney J; Lu C; Ganesan S; Feldman M
• Weakly-Supervised Deep Learning-Based Segmentation of Non-Melanoma Skin Cancer on Histopathological Images
  Volume: 101 Page(s): 309 - 310
  03/01/2021 Authors: Trung N; Zhou Y; Lu C; Janowczyk A; Grobholz R; Katz I; Madabhushi A
• Computer Extracted Morphology Features of Tumor Nuclei Predict Response to Chemotherapy and Prognostic of OS in Small Cell Lung Cancer
  Volume: 16 Page(s): S560 - S560
  03/01/2021 Authors: Jain P; Barrera C; Osme A; Toro PA; Chahar S; Butler K; Khorrami M; Fu P; Corredor G; Bera K
• Novel Non-Invasive Radiomic Signatures Extracted from Radiographic Images can Predict Response to Systemic Treatment in Small Cell Lung Cancer
  Volume: 16 Page(s): S181 - S182
  03/01/2021 Authors: Jain P; Khorrami M; Gupta A; Rajiah P; Bera K; Vaidya P; Fu P; Dowlati A; Madabhushi A
• A Gender-Specific Radiomics Models for Predicting Recurrence in Early Stage (Stage I, II) Non-Small Cell Lung Cancer (ES-NSCLC) Patients
  Volume: 16 Page(s): S138 - S139
  03/01/2021 Authors: Vaidya P; Bera K; Patil P; Gupta A; Fu P; Velu P; Choi H; Velcheti V; Madabhushi A
• Cortical Tubulointerstitial Mononuclear Inflammation in Renal Biopsies is a Quantitative Biomarker of Clinical Outcomes in NEPTUNE Glomerular Diseases
  Volume: 101 Page(s): 1018 - 1019
  03/01/2021 Authors: Sotolongo G; Je J; Zee J; Chen Y; Li X; Wang Y; Hodgin J; Madabhushi A; Janowczyk A; Lafata K
• Annotation-free 3D gland segmentation with generative image-sequence translation for prostate cancer risk assessment
  Volume: 27
  03/01/2021 Authors: Xie W; Glaser A; Reder N; Postupna N; Mao C; Koyuncu C; Leo P; Serafin R; Huang H; Madabhushi A
• Weakly-Supervised Deep Learning-Based Segmentation of Non-Melanoma Skin Cancer on Histopathological Images
  Volume: 34 Page(s): 309 - 310
  03/01/2021 Authors: Trung N; Zhou Y; Lu C; Janowczyk A; Grobholz R; Katz I; Madabhushi A
• Computerized Measurements of Nuclear Morphology Features, Mitosis Rate, and Tubule Formation from H&E Images Predicts Recurrence-Free Survival in ER plus & LN- Invasive Breast Cancer: A Multi-Institutional Study
  Volume: 34 Page(s): 90 - 91
  03/01/2021 Authors: Chen Y; Li H; Janowczyk A; Koyuncu C; Toro P; Corredor G; Whitney J; Lu C; Ganesan S; Feldman M
• Collagen Fiber Orientation by Image Analysis and Its Clinical Utility
  Volume: 101 Page(s): 99 - 102
  03/01/2021 Authors: Glasgow A; Li H; Sechrist H; Fu P; Bomeisl P; Gilmore H; Harbhajanka A; Madabhushi A
• Assessment of a computerized quantitative quality control tool for whole slide images of kidney biopsies.
  J Pathol Volume: 253 Page(s): 268 - 278
  03/01/2021 Authors: Chen Y; Zee J; Smith A; Jayapandian C; Hodgin J; Howell D; Palmer M; Thomas D; Cassol C; Farris AB
• Computerized Quantification of Tumor Infiltrating Lymphocyte (TIL) Density on H&E Images is Associated with Recurrence Risk in Ductal Carcinoma in Situ (DCIS)
  Volume: 34 Page(s): 121 - 122
  03/01/2021 Authors: Li H; Fu P; Toro P; Madabhushi A; Thorat M
• Computerized Quantification of Tumor Infiltrating Lymphocyte (TIL) Density on H&E Images is Associated with Recurrence Risk in Ductal Carcinoma in Situ (DCIS)
  Volume: 101 Page(s): 121 - 122
  03/01/2021 Authors: Li H; Fu P; Toro P; Madabhushi A; Thorat M
• T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning-derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology.
  Eur Radiol Volume: 31 Page(s): 1336 - 1346
  03/01/2021 Authors: Shiradkar R; Panda A; Leo P; Janowczyk A; Farre X; Janaki N; Li L; Pahwa S; Mahran A; Buzzy C
• Characterizing Spatial Patterns of Immune Response in H&E Images from COVID-19 and H1N1 Autopsies Using Digital Pathology
  Volume: 101 Page(s): 950 - 952
  03/01/2021 Authors: Toro P; Corredor G; Bera K; Rasmussen D; Stroberg E; Barton L; Duval E; Gilmore H; Mukhopadhyay S; Madabhushi A
• Cortical Tubulointerstitial Mononuclear Inflammation in Renal Biopsies is a Quantitative Biomarker of Clinical Outcomes in NEPTUNE Glomerular Diseases
  Volume: 34 Page(s): 1018 - 1019
  03/01/2021 Authors: Sotolongo G; Je J; Zee J; Chen Y; Li X; Wang Y; Hodgin J; Madabhushi A; Janowczyk A; Lafata K
• Characterizing Spatial Patterns of Immune Response in H&E Images from COVID-19 and H1N1 Autopsies Using Digital Pathology
  Volume: 34 Page(s): 950 - 952
  03/01/2021 Authors: Toro P; Corredor G; Bera K; Rasmussen D; Stroberg E; Barton L; Duval E; Gilmore H; Mukhopadhyay S; Madabhushi A
• Combination of Computerized Patterns of Tumor Multinucleation and Tumor-Infiltrating Lymphocytes on H&E Images is Prognostic for Overall and Disease-Free Survival in p16 positive Oropharyngeal Squamous Cell Carcinoma Patients Including AJCC 8th Edition Stage Groups: A Multi-Site Study
  Volume: 34 Page(s): 777 - 778
  03/01/2021 Authors: Koyuncu C; Corredor G; Lu C; Toro P; Fu P; Koyfman S; Chute D; Adelstein D; Thorstad W; Bishop J
• Collagen Fiber Orientation by Image Analysis and Its Clinical Utility
  Volume: 34 Page(s): 99 - 102
  03/01/2021 Authors: Glasgow A; Li H; Sechrist H; Fu P; Bomeisl P; Gilmore H; Harbhajanka A; Madabhushi A
• Machine Learning-Derived Fractal Features of Shape and Texture of the Left Atrium and Pulmonary Veins From Cardiac Computed Tomography Scans Are Associated With Risk of Recurrence of Atrial Fibrillation Postablation.
  Circ Arrhythm Electrophysiol Volume: 14 Page(s): e009265
  03/01/2021 Authors: Firouznia M; Feeny AK; LaBarbera MA; McHale M; Cantlay C; Kalfas N; Schoenhagen P; Saliba W; Tchou P; Barnard J
• Multiple Instance Learning Predicts Recurrence from the Nuclear Morphology in Both Lymph Node Positive and Negative ER plus Breast Cancer H&E Slides
  Volume: 34 Page(s): 147 - 149
  03/01/2021 Authors: Shao D; Lu C; Li H; Fu P; Madabhushi A
• Sexually dimorphic radiogenomic models identify distinct imaging and biological pathways that are prognostic of overall survival in glioblastoma.
  Neuro Oncol Volume: 23 Page(s): 251 - 263
  02/25/2021 Authors: Beig N; Singh S; Bera K; Prasanna P; Singh G; Chen J; Saeed Bamashmos A; Barnett A; Hunter K; Statsevych V
• Feature-driven local cell graph (FLocK): New computational pathology-based descriptors for prognosis of lung cancer and HPV status of oropharyngeal cancers.
  Med Image Anal Volume: 68 Page(s): 101903
  02/01/2021 Authors: Lu C; Koyuncu C; Corredor G; Prasanna P; Leo P; Wang X; Janowczyk A; Bera K; Lewis J; Velcheti V
• Development and evaluation of deep learning-based segmentation of histologic structures in the kidney cortex with multiple histologic stains.
  Kidney Int Volume: 99 Page(s): 86 - 101
  01/01/2021 Authors: Jayapandian CP; Chen Y; Janowczyk AR; Palmer MB; Cassol CA; Sekulic M; Hodgin JB; Zee J; Hewitt SM; O'Toole J
• Computational pathology reveals unique spatial patterns of immune response in H&E images from COVID-19 autopsies: preliminary findings.
  J Med Imaging (Bellingham) Volume: 8 Page(s): 017501
  01/01/2021 Authors: Corredor G; Toro P; Bera K; Rasmussen D; Viswanathan VS; Buzzy C; Fu P; Barton LM; Stroberg E; Duval E
• Test-retest repeatability of a deep learning architecture in detecting and segmenting clinically significant prostate cancer on apparent diffusion coefficient (ADC) maps.
  Eur Radiol Volume: 31 Page(s): 379 - 391
  01/01/2021 Authors: Hiremath A; Shiradkar R; Merisaari H; Prasanna P; Ettala O; Taimen P; Aronen HJ; Bostrm PJ; Jambor I; Madabhushi A
• A Pathologist-Annotated Dataset for Validating Artificial Intelligence: A Project Description and Pilot Study.
  J Pathol Inform Volume: 12 Page(s): 45
  01/01/2021 Authors: Dudgeon SN; Wen S; Hanna MG; Gupta R; Amgad M; Sheth M; Marble H; Huang R; Herrmann MD; Szu CH
• Radiomic Features Associated With HPV Status on Pretreatment Computed Tomography in Oropharyngeal Squamous Cell Carcinoma Inform Clinical Prognosis.
  Front Oncol Volume: 11 Page(s): 744250
  01/01/2021 Authors: Song B; Yang K; Garneau J; Lu C; Li L; Lee J; Stock S; Braman NM; Koyuncu CF; Toro P
• Multi-Compartment Spatially-Derived Radiomics From Optical Coherence Tomography Predict Anti-VEGF Treatment Durability in Macular Edema Secondary to Retinal Vascular Disease: Preliminary Findings.
  IEEE J Transl Eng Health Med Volume: 9 Page(s): 1000113
  01/01/2021 Authors: Sil Kar S; Sevgi DD; Dong V; Srivastava SK; Madabhushi A; Ehlers JP
• Novel Non-Invasive Radiomic Signature on CT Scans Predicts Response to Platinum-Based Chemotherapy and Is Prognostic of Overall Survival in Small Cell Lung Cancer.
  Front Oncol Volume: 11 Page(s): 744724
  01/01/2021 Authors: Jain P; Khorrami M; Gupta A; Rajiah P; Bera K; Viswanathan VS; Fu P; Dowlati A; Madabhushi A
• A novel imaging based Nomogram for predicting post-surgical biochemical recurrence and adverse pathology of prostate cancer from pre-operative bi-parametric MRI.
  EBioMedicine Volume: 63 Page(s): 103163
  01/01/2021 Authors: Li L; Shiradkar R; Leo P; Algohary A; Fu P; Tirumani SH; Mahran A; Buzzy C; Obmann VC; Mansoori B
• Amyloid Deposition Is Greater in Cerebral Gyri than in Cerebral Sulci with Worsening Clinical Diagnosis Across the Alzheimer's Disease Spectrum.
  J Alzheimers Dis Volume: 83 Page(s): 423 - 433
  01/01/2021 Authors: Walden LM; Hu S; Madabhushi A; Prescott JW; Alzheimers Disease Neuroimaging Initiative
• Technical Note: MRQy - An open-source tool for quality control of MR imaging data.
  Med Phys Volume: 47 Page(s): 6029 - 6038
  12/01/2020 Authors: Sadri AR; Janowczyk A; Zhou R; Verma R; Beig N; Antunes J; Madabhushi A; Tiwari P; Viswanath SE
• CT-Radiomic Approach to Predict G1/2 Nonfunctional Pancreatic Neuroendocrine Tumor.
  Acad Radiol Volume: 27 Page(s): e272 - e281
  12/01/2020 Authors: Zhao Z; Bian Y; Jiang H; Fang X; Li J; Cao K; Ma C; Wang L; Zheng J; Yue X
• Machine Learning-Based Hepatic Fat Assessment in Low-Dose Coronary Artery Calcium Scans is Correlated With Human Reader Assessment
  Volume: 142
  11/17/2020 Authors: Modanwal G; Walker JR; Al-Kindi S; Rajagopalan S; Madabhushi A
• Digital pathology and computational image analysis in nephropathology.
  Nat Rev Nephrol Volume: 16 Page(s): 669 - 685
  11/01/2020 Authors: Barisoni L; Lafata KJ; Hewitt SM; Madabhushi A; Balis UGJ
• A prognostic model for overall survival of patients with early-stage non-small cell lung cancer: a multicentre, retrospective study.
  Lancet Digit Health Volume: 2 Page(s): e594 - e606
  11/01/2020 Authors: Lu C; Bera K; Wang X; Prasanna P; Xu J; Janowczyk A; Beig N; Yang M; Fu P; Lewis J
• Tumor Habitat-derived Radiomic Features at Pretreatment MRI That Are Prognostic for Progression-free Survival in Glioblastoma Are Associated with Key Morphologic Attributes at Histopathologic Examination: A Feasibility Study.
  Radiol Artif Intell Volume: 2 Page(s): e190168
  11/01/2020 Authors: Verma R; Correa R; Hill VB; Statsevych V; Bera K; Beig N; Mahammedi A; Madabhushi A; Ahluwalia M; Tiwari P
• Radiomic Features of Primary Rectal Cancers on Baseline T2 -Weighted MRI Are Associated With Pathologic Complete Response to Neoadjuvant Chemoradiation: A Multisite Study.
  J Magn Reson Imaging Volume: 52 Page(s): 1531 - 1541
  11/01/2020 Authors: Antunes JT; Ofshteyn A; Bera K; Wang EY; Brady JT; Willis JE; Friedman KA; Marderstein EL; Kalady MF; Stein SL
• Reimagining T Staging Through Artificial Intelligence and Machine Learning Image Processing Approaches in Digital Pathology.
  JCO Clin Cancer Inform Volume: 4 Page(s): 1039 - 1050
  11/01/2020 Authors: Bera K; Katz I; Madabhushi A
• Impact of Insurance and Socioeconomic Status on HPV-related Oropharyngeal Cancer
  Volume: 108 Page(s): E428 - E428
  11/01/2020 Authors: Yang K; Fleming CW; Contrera K; Woody NM; Joshi NP; Geiger JL; Prendes B; Lamarre E; Scharpf J; Lorenz RR
• Automated gleason grading on prostate biopsy slides by statistical representations of homology profile.
  Comput Methods Programs Biomed Volume: 194 Page(s): 105528
  10/01/2020 Authors: Yan C; Nakane K; Wang X; Fu Y; Lu H; Fan X; Feldman MD; Madabhushi A; Xu J
• Novel, non-invasive imaging approach to identify patients with advanced non-small cell lung cancer at risk of hyperprogressive disease with immune checkpoint blockade.
  J Immunother Cancer Volume: 8
  10/01/2020 Authors: Vaidya P; Bera K; Patil PD; Gupta A; Jain P; Alilou M; Khorrami M; Velcheti V; Madabhushi A
• Computer Extracted Features from Initial H&E Tissue Biopsies Predict Disease Progression for Prostate Cancer Patients on Active Surveillance.
  Cancers (Basel) Volume: 12
  09/21/2020 Authors: Chandramouli S; Leo P; Lee G; Elliott R; Davis C; Zhu G; Fu P; Epstein JI; Veltri R; Madabhushi A
• Combination of Peri-Tumoral and Intra-Tumoral Radiomic Features on Bi-Parametric MRI Accurately Stratifies Prostate Cancer Risk: A Multi-Site Study.
  Cancers (Basel) Volume: 12
  08/06/2020 Authors: Algohary A; Shiradkar R; Pahwa S; Purysko A; Verma S; Moses D; Shnier R; Haynes A-M; Delprado W; Thompson J
• Artificial Intelligence and Machine Learning in Arrhythmias and Cardiac Electrophysiology.
  Circ Arrhythm Electrophysiol Volume: 13 Page(s): e007952
  08/01/2020 Authors: Feeny AK; Chung MK; Madabhushi A; Attia ZI; Cikes M; Firouznia M; Friedman PA; Kalscheur MM; Kapa S; Narayan SM
• Radiomic Texture and Shape Descriptors of the Rectal Environment on Post-Chemoradiation T2-Weighted MRI are Associated with Pathologic Tumor Stage Regression in Rectal Cancers: A Retrospective, Multi-Institution Study.
  Cancers (Basel) Volume: 12
  07/24/2020 Authors: Alvarez-Jimenez C; Antunes JT; Talasila N; Bera K; Brady JT; Gollamudi J; Marderstein E; Kalady MF; Purysko A; Willis JE
• Machine Learning of 12-Lead QRS Waveforms to Identify Cardiac Resynchronization Therapy Patients With Differential Outcomes.
  Circ Arrhythm Electrophysiol Volume: 13 Page(s): e008210
  07/01/2020 Authors: Feeny AK; Rickard J; Trulock KM; Patel D; Toro S; Moennich LA; Varma N; Niebauer MJ; Gorodeski EZ; Grimm RA
• Repeatability of radiomics and machine learning for DWI: Short-term repeatability study of 112 patients with prostate cancer.
  Magn Reson Med Volume: 83 Page(s): 2293 - 2309
  06/01/2020 Authors: Merisaari H; Taimen P; Shiradkar R; Ettala O; Pesola M; Saunavaara J; Bostrm PJ; Madabhushi A; Aronen HJ; Jambor I
• Combination of tumor multinucleation and spatial arrangement of tumor-infiltrating lymphocytes to predict overall survival in oropharyngeal squamous cell carcinoma: A multisite study.
  Volume: 38
  05/20/2020 Authors: Koyuncu C; Corredor G; Lu C; Toro P; Bera K; Fu P; Koyfman SA; Chute D; Adelstein DJ; Thorstad W
• Radiomics risk score (RRS) on CT to predict survival and response to CDK 4/6 inhibitors in hormone receptor (HR) positive metastatic breast cancer (MBC).
  Volume: 38
  05/20/2020 Authors: Kunte S; Braman N; Bera K; Leo P; Abraham J; Montero AJ; Madabhushi A
• Computerized features of spatial interplay of tumor-infiltrating lymphocytes predict disease recurrence in p16+oropharyngeal squamous cell carcinoma: A multisite validation study.
  Volume: 38
  05/20/2020 Authors: Corredor G; Lu C; Koyuncu C; Bera K; Toro P; Fu P; Koyfman SA; Chute D; Adelstein DJ; Thorstad W
• Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group.
  NPJ Breast Cancer Volume: 6 Page(s): 16
  05/12/2020 Authors: Amgad M; Stovgaard ES; Balslev E; Thagaard J; Chen W; Dudgeon S; Sharma A; Kerner JK; Denkert C; Yuan Y
• Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer.
  NPJ Breast Cancer Volume: 6 Page(s): 17
  05/12/2020 Authors: Kos Z; Roblin E; Kim RS; Michiels S; Gallas BD; Chen W; van de Vijver KK; Goel S; Adams S; Demaria S
• CANCER NUCLEAR FEATURES EXTRACTED FROM PATHOLOGY IMAGES IDENTIFY STAGE 2 COLON CANCERS THAT RECUR
  Volume: 158 Page(s): S778 - S779
  05/01/2020 Authors: Willis J; Lu C; Butler K; Kumar N; Madabhushi A
• Radiogenomic-Based Survival Risk Stratification of Tumor Habitat on Gd-T1w MRI Is Associated with Biological Processes in Glioblastoma.
  Clin Cancer Res Volume: 26 Page(s): 1866 - 1876
  04/15/2020 Authors: Beig N; Bera K; Prasanna P; Antunes J; Correa R; Singh S; Saeed Bamashmos A; Ismail M; Braman N; Verma R
• Computationally Derived Image Signature of Stromal Morphology Is Prognostic of Prostate Cancer Recurrence Following Prostatectomy in African American Patients.
  Clin Cancer Res Volume: 26 Page(s): 1915 - 1923
  04/15/2020 Authors: Bhargava HK; Leo P; Elliott R; Janowczyk A; Whitney J; Gupta S; Fu P; Yamoah K; Khani F; Robinson BD
• COMPUTER-EXTRACTED FEATURES OF GLAND MORPHOLOGY FROM DIGITAL TISSUE IMAGES IS COMPARABLE TO DECIPHER FOR PROGNOSIS OF BIOCHEMICAL RECURRENCE RISK POST-SURGERY
  Volume: 203 Page(s): E1089 - E1090
  04/01/2020 Authors: Leo P; Elliott R; Janowczyk A; Janaki N; Bera K; Shiradkar R; El-Fahmawi A; Kim J; Shahait M; Shah A
• Computer-Assisted Cardiac Histologic Evaluation (CACHE) for Grading Cardiac Allograft Rejection
  Volume: 20 Page(s): 363 - 363
  04/01/2020 Authors: Peyster E; ArabYarmohommadi S; Janowczyk A; Sekulic M; Cassol C; Feldman M; Margulies K; Madabhushi A
• Stable and discriminating radiomic predictor of recurrence in early stage non-small cell lung cancer: Multi-site study.
  Lung Cancer Volume: 142 Page(s): 90 - 97
  04/01/2020 Authors: Khorrami M; Bera K; Leo P; Vaidya P; Patil P; Thawani R; Velu P; Rajiah P; Alilou M; Choi H
• CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in Stage I, II resectable Non-Small Cell Lung Cancer: a retrospective multi-cohort study for outcome prediction.
  Lancet Digit Health Volume: 2 Page(s): e116 - e128
  03/01/2020 Authors: Vaidya P; Bera K; Gupta A; Wang X; Corredor G; Fu P; Beig N; Prasanna P; Patil P; Velu P
• CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-small cell lung cancer: a retrospective multicohort study for outcome prediction.
  Lancet Digit Health Volume: 2 Page(s): e116 - e128
  03/01/2020 Authors: Vaidya P; Bera K; Gupta A; Wang X; Corredor G; Fu P; Beig N; Prasanna P; Patil PD; Velu PD
• Quantitative Assessment of the Effects of Compression on Deep Learning in Digital Pathology Image Analysis.
  JCO Clin Cancer Inform Volume: 4 Page(s): 221 - 233
  03/01/2020 Authors: Chen Y; Janowczyk A; Madabhushi A
• Innovations in risk-stratification and treatment of Veterans with oropharynx cancer; roadmap of the 2019 Field Based Meeting.
  Oral Oncol Volume: 102 Page(s): 104440
  03/01/2020 Authors: Sandulache VC; Lei YL; Heasley LE; Chang M; Amos CI; Sturgis EM; Graboyes E; Chiao EY; Rogus-Pulia N; Lewis J
• Computerized Quantification of Invasive Cribriform Adenocarcinoma on Radical Prostatectomy Specimens is Prognostic of Biochemical Recurrence
  Volume: 100 Page(s): 869 - 871
  03/01/2020 Authors: Chandramouli S; Leo P; Janowczyk A; Elliott R; Farre X; Eklund L; Shih NNC; Feldman M; McKenney J; Madabhushi A
• Tumor Cell Multinucleation is More Frequent in African-American Oropharyngeal Squamous Cell Carcinoma Patients Than Caucasian-American Ones - Implications for Outcome Differences
  Volume: 33 Page(s): 1208 - 1209
  03/01/2020 Authors: Koyuncu C; Lu C; Zhang Z; Fu P; Gondim D; Xu J; Bera K; Lewis J; Madabhushi A
• The Spatial Patterns of Tumor-Infiltrating Lymphocytes (TILs) are More Prognostic Than TIL Density in p16+Oropharyngeal Squamous Cell Carcinoma Patients
  Volume: 33 Page(s): 1187 - 1188
  03/01/2020 Authors: Corredor G; Lewis J; Lu C; Toro P; Fu P; Thorstad W; Bishop J; Faraji F; Madabhushi A
• Computerized Nuclear Morphology Features Aid in Diagnosis of Cell Clusters on Digitized Bile Duct Brushing Slides
  Volume: 33 Page(s): 1662 - 1663
  03/01/2020 Authors: Monabbati S; Lu C; Leo P; Bera K; Madabhushi A; Harbhajanka A; Michael C; Nezami B
• Tumor Cell Multinucleation is More Frequent in African-American Oropharyngeal Squamous Cell Carcinoma Patients Than Caucasian-American Ones - Implications for Outcome Differences
  Volume: 100 Page(s): 1208 - 1209
  03/01/2020 Authors: Koyuncu C; Lu C; Zhang Z; Fu P; Gondim D; Xu J; Bera K; Lewis J; Madabhushi A
• Computerized Quantification of Invasive Cribriform Adenocarcinoma on Radical Prostatectomy Specimens is Prognostic of Biochemical Recurrence
  Volume: 33 Page(s): 869 - 871
  03/01/2020 Authors: Chandramouli S; Leo P; Janowczyk A; Elliott R; Farre X; Eklund L; Shih NNC; Feldman M; McKenney J; Madabhushi A
• Computerized Nuclear Morphology Features Aid in Diagnosis of Cell Clusters on Digitized Bile Duct Brushing Slides
  Volume: 100 Page(s): 1662 - 1663
  03/01/2020 Authors: Monabbati S; Lu C; Leo P; Bera K; Madabhushi A; Harbhajanka A; Michael C; Nezami B
• Predicting HPV Status of Oropharyngeal Squamous Cell Carcinoma Patients Using Handcrafted Histomorphometric and Deep Learning Features
  Volume: 100 Page(s): 1207 - 1207
  03/01/2020 Authors: Koyuncu C; Lu C; Gondim D; Bera K; Thompson L; Lewis J; Madabhushi A
• Computer-Extracted Features from Radical Prostatectomy Specimens Prognostic of Biochemical Recurrence are Associated with Decipher Risk Groups
  Volume: 100 Page(s): 919 - 920
  03/01/2020 Authors: Leo P; Elliott R; Janowczyk A; Janaki N; Shiradkar R; Bera K; Magi-Galluzzi C; Purysko A; Klein E; Gupta S
• Computationally Derived Morphological Features of Cancer Nuclei from Colon Whole Slide Images Can Distinguish Stage 2 from Stage 4 Colon Cancers
  Volume: 100 Page(s): 699 - 700
  03/01/2020 Authors: Kumar N; Lu C; Butler K; Gilmore H; Willis J; Madabhushi A
• A Deep Learning-Based Approach for Localization and Diagnosis of Non-Melanoma Skin Cancers from Whole Slide Digital Pathology Images
  Volume: 33 Page(s): 518 - 519
  03/01/2020 Authors: Zhou Y; Janowczyk A; Lu C; Grobholz R; Katz I; Madabhushi A
• A Deep Learning-Based Approach for Localization and Diagnosis of Non-Melanoma Skin Cancers from Whole Slide Digital Pathology Images
  Volume: 100 Page(s): 518 - 519
  03/01/2020 Authors: Zhou Y; Janowczyk A; Lu C; Grobholz R; Katz I; Madabhushi A
• Predicting HPV Status of Oropharyngeal Squamous Cell Carcinoma Patients Using Handcrafted Histomorphometric and Deep Learning Features
  Volume: 33 Page(s): 1207 - 1207
  03/01/2020 Authors: Koyuncu C; Lu C; Gondim D; Bera K; Thompson L; Lewis J; Madabhushi A
• Computer-Extracted Features from Radical Prostatectomy Specimens Prognostic of Biochemical Recurrence are Associated with Decipher Risk Groups
  Volume: 33 Page(s): 919 - 920
  03/01/2020 Authors: Leo P; Elliott R; Janowczyk A; Janaki N; Shiradkar R; Bera K; Magi-Galluzzi C; Purysko A; Klein E; Gupta S
• Computationally Derived Morphological Features of Cancer Nuclei from Colon Whole Slide Images Can Distinguish Stage 2 from Stage 4 Colon Cancers
  Volume: 33 Page(s): 699 - 700
  03/01/2020 Authors: Kumar N; Lu C; Butler K; Gilmore H; Willis J; Madabhushi A
• The Spatial Patterns of Tumor-Infiltrating Lymphocytes (TILs) are More Prognostic Than TIL Density in p16+Oropharyngeal Squamous Cell Carcinoma Patients
  Volume: 100 Page(s): 1187 - 1188
  03/01/2020 Authors: Corredor G; Lewis J; Lu C; Toro P; Fu P; Thorstad W; Bishop J; Faraji F; Madabhushi A
• Deep-learning approaches for Gleason grading of prostate biopsies.
  Lancet Oncol Volume: 21 Page(s): 187 - 189
  02/01/2020 Authors: Madabhushi A; Feldman MD; Leo P
• Histomorphometric measure of disorder of collagen fiber orientation is associated with risk of recurrence in ER plus breast cancers in ECOG-ACRIN E2197 and TCGA-BRCA
  Volume: 80
  02/01/2020 Authors: Li H; Bera K; Gilmore H; Davidson NE; Goldstein LJ; Madabhushi A
• A combination of intra- and peri-lesional deep learning classifiers from multiple views enables accurate diagnosis of architectural distortion malignancy with digital breast tomosynthesis
  Volume: 80
  02/01/2020 Authors: Maidment T; Braman N; Chen Y; Mehrkhani F; Yankevich U; Plecha D; Madabhushi A
• Validation of neural network approach for the prediction of HER2-targeted neoadjuvant chemotherapy response from pretreatment MRI: A multi-site study
  Volume: 80
  02/01/2020 Authors: Braman N; El Adoui M; Vulchi M; Turk P; Etesami M; Fu P; Drisis S; Varadan V; Plecha D; Benjelloun M
• Radiomic measurements of tumor-associated vasculature morphology and function on pretreatment dynamic MRI identifies responders to neoadjuvant chemotherapy
  Volume: 80
  02/01/2020 Authors: Braman N; Prasanna P; Bera K; Alilou M; Vulchi M; Etesami M; Turk P; Abraham J; Plecha D; Madabhushi A
• Deep learning-based prediction of response to HER2-targeted neoadjuvant chemotherapy from pre-treatment dynamic breast MRI: A multi-institutional validation study
  
  01/22/2020 Authors: Braman N; Adoui ME; Vulchi M; Turk P; Etesami M; Fu P; Bera K; Drisis S; Varadan V; Plecha D
• Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer.
  NPJ Breast Cancer Volume: 6 Page(s): 17
  01/01/2020 Authors: Kos Z; Roblin E; Kim RS; Michiels S; Gallas BD; Chen W; van de Vijver KK; Goel S; Adams S; Demaria S
• Application of a risk-management framework for integration of stromal tumor-infiltrating lymphocytes in clinical trials.
  NPJ Breast Cancer Volume: 6 Page(s): 15
  01/01/2020 Authors: Hudeek J; Voorwerk L; van Seijen M; Nederlof I; de Maaker M; van den Berg J; van de Vijver KK; Sikorska K; Adams S; Demaria S
• Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group.
  NPJ Breast Cancer Volume: 6 Page(s): 16
  01/01/2020 Authors: Amgad M; Stovgaard ES; Balslev E; Thagaard J; Chen W; Dudgeon S; Sharma A; Kerner JK; Denkert C; Yuan Y
• Can Tumor Location on Pre-treatment MRI Predict Likelihood of Pseudo-Progression vs. Tumor Recurrence in Glioblastoma?-A Feasibility Study.
  Front Comput Neurosci Volume: 14 Page(s): 563439
  01/01/2020 Authors: Ismail M; Hill V; Statsevych V; Mason E; Correa R; Prasanna P; Singh G; Bera K; Thawani R; Ahluwalia M
• Changes in CT Radiomic Features Associated with Lymphocyte Distribution Predict Overall Survival and Response to Immunotherapy in Non-Small Cell Lung Cancer.
  Cancer Immunol Res Volume: 8 Page(s): 108 - 119
  01/01/2020 Authors: Khorrami M; Prasanna P; Gupta A; Patil P; Velu PD; Thawani R; Corredor G; Alilou M; Bera K; Fu P
• Machine Learning Prediction of Cardiac Resynchronization Therapy Response Using 12-Lead QRS Waveform Changes After Biventricular Pacing
  Volume: 140
  11/19/2019 Authors: Feeny AK; Rickard J; Trulock KM; Patel D; Toro S; Varma N; Niebauer MJ; Chung MK; Madabhushi A
• Machine Learning of 12-lead Qrs Waveform Patterns to Identify Cardiac Resynchronization Therapy Patients With Differential Outcomes
  Volume: 140
  11/19/2019 Authors: Feeny AK; Rickard J; Trulock KM; Patel D; Toro S; Moennich LA; Varma N; Niebauer MJ; Gorodeski EZ; Grimm RA
• Assessment of Cardiac Rejection Grade via Machine Learning Derived Features From Digital Biopsy Images
  Volume: 140
  11/19/2019 Authors: ArabYarmohammadi S; Janowczyk A; Peyster EG; Azarianpour S; Lal P; Feldman MD; Margulies K; Madabhushi A
• Machine Learning Derived Features of Left Atrium, Pulmonary Veins, and Myocardium on CT Scans is Associated With Risk of Recurrence of Atrial Fibrillation Post-Ablation
  Volume: 140
  11/19/2019 Authors: Firouznia M; LaBarbera M; Feeny AK; Zhang Z; Kalfas N; McHale M; Cantlay C; Saliba WI; Tchou P; Chung MK
• Artificial intelligence in digital pathology - new tools for diagnosis and precision oncology.
  Nat Rev Clin Oncol Volume: 16 Page(s): 703 - 715
  11/01/2019 Authors: Bera K; Schalper KA; Rimm DL; Velcheti V; Madabhushi A
• GENDER-SPECIFIC PROBABILISTIC ATLASES OF GLIOBLASTOMA REVEAL IMPACT OF TUMOR LOCATION ON PROGRESSION FREE SURVIVAL
  Volume: 21 Page(s): 81 - 82
  11/01/2019 Authors: Beig N; Ismail M; Bamashmos AS; Statsevych V; Hill V; Madabhushi A; Ahluwalia M; Tiwari P
• RADIOMIC FEATURES LOCALIZED TO STEREOTACTIC BIOPSY LOCATIONS CAN CAPTURE EGFR PRESENCE IN GLIOBLASTOMA
  Volume: 21 Page(s): 178 - 178
  11/01/2019 Authors: Ismail M; Correa R; Bera K; Bamashmos AS; Statsevych V; Prasanna P; Beig N; Madabhushi A; Ahluwalia M; Tiwari P
• Author Correction: Quantitative vessel tortuosity: A potential CT imaging biomarker for distinguishing lung granulomas from adenocarcinomas.
  Sci Rep Volume: 9 Page(s): 15873
  10/29/2019 Authors: Alilou M; Orooji M; Beig N; Prasanna P; Rajiah P; Donatelli C; Velcheti V; Rakshit S; Yang M; Jacono F
• Quantitative nuclear histomorphometric features are predictive of Oncotype DX risk categories in ductal carcinoma in situ: preliminary findings.
  Breast Cancer Res Volume: 21 Page(s): 114
  10/17/2019 Authors: Li H; Whitney J; Bera K; Gilmore H; Thorat MA; Badve S; Madabhushi A
• CT Based Vessel Tortuosity Features Are Prognostic of Overall Survival and Predictive of Immunotherapy Response in NSCLC Patients
  Volume: 14 Page(s): S449 - S449
  10/01/2019 Authors: Alilou M; Patil P; Fu P; Bera K; Velcheti V; Madabhushi A; Vaidya P
• Integrating CT Radiomic & Quantitative Histomorphometric Whole Slide Image Features Predicts Disease Free Survival in ES-NSCLC
  Volume: 14 Page(s): S898 - S898
  10/01/2019 Authors: Vaidya P; Bera K; Wang X; Patil P; Velcheti V; Madabhushi A
• Quantitative Image Analysis of Human Epidermal Growth Factor Receptor 2 Immunohistochemistry for Breast Cancer: Guideline From the College of American Pathologists.
  Arch Pathol Lab Med Volume: 143 Page(s): 1180 - 1195
  10/01/2019 Authors: Bui MM; Riben MW; Allison KH; Chlipala E; Colasacco C; Kahn AG; Lacchetti C; Madabhushi A; Pantanowitz L; Salama ME
• Novel CT Based Radiomic Features are Prognostic and Predictive of Benefit of Chemoimmunotherapy in Advanced Non-Squamous NSCLC
  Volume: 14 Page(s): S713 - S714
  10/01/2019 Authors: Patil P; Khorrami M; Zagouras A; Bera K; Fu P; Gupta A; Velcheti V; Pennell N; Madabhushi A
• Computerized Measurements of Cellular Diversity on H&E Tissue Are Prognostic of OS and Associated with Mutational Status in NSCLC
  Volume: 14 Page(s): S310 - S310
  10/01/2019 Authors: Velcheti V; Lu C; Bera K; Wang X; Fu P; Yang M; Rimm D; Schalper K; Madabhushi A
• Arrangement and Architecture of Tumor-Infiltrating Lymphocyte on H&E Slides Predict OS in Nivolumab Treated Non-Small Cell Lung Cancer
  Volume: 14 Page(s): S350 - S351
  10/01/2019 Authors: Wang X; Barrera C; Bera K; Lu C; Feldman M; Schalper K; Rimm D; Velcheti V; Madabhushi A
• Corrigendum to "Predicting pathologic response to neoadjuvant chemoradiation in resectable stage III non-small cell lung cancer patients using computed tomography radiomic features" [Lung Cancer 135 (September) (2019) 1-9].
  Lung Cancer Volume: 136 Page(s): 156
  10/01/2019 Authors: Khorrami M; Jain P; Bera K; Alilou M; Thawani R; Patil P; Ahmad U; Murthy S; Stephans K; Fu P
• Integrated Clinico-Radiomic Nomogram for Predicting Disease-Free Survival (DFS) in Stage I and II Non-Small Cell Lung Cancer
  Volume: 14 Page(s): S898 - S898
  10/01/2019 Authors: Bera K; Vaidya P; Velu P; Choi H; Fu P; Gupta A; Velcheti V; Madabhushi A
• Correlation between MRI phenotypes and a genomic classifier of prostate cancer: preliminary findings.
  Eur Radiol Volume: 29 Page(s): 4861 - 4870
  09/01/2019 Authors: Purysko AS; Magi-Galluzzi C; Mian OY; Sittenfeld S; Davicioni E; du Plessis M; Buerki C; Bullen J; Li L; Madabhushi A
• Predicting pathologic response to neoadjuvant chemoradiation in resectable stage III non-small cell lung cancer patients using computed tomography radiomic features.
  Lung Cancer Volume: 135 Page(s): 1 - 9
  09/01/2019 Authors: Khorrami M; Jain P; Bera K; Alilou M; Thawani R; Patil P; Ahmad U; Murthy S; Stephans K; Fu P
• Predicting Tolerance to Extended Interval Dosing in Diabetic Macular Edema and Retinal Vein Occlusion via Subvisual Feature Assessment of Ultra-widefield Angiography: Preliminary Findings in the PERMEATE study
  Volume: 60
  07/01/2019 Authors: Moosavi A; Figueiredo N; Prasanna P; Srivastava SK; Hu M; Sharma S; Reese JL; Ehlers JP; Madabhushi A
• Machine Learning Prediction of Response to Cardiac Resynchronization Therapy: Improvement Versus Current Guidelines.
  Circ Arrhythm Electrophysiol Volume: 12 Page(s): e007316
  07/01/2019 Authors: Feeny AK; Rickard J; Patel D; Toro S; Trulock KM; Park CJ; LaBarbera MA; Varma N; Niebauer MJ; Sinha S
• COMPUTERIZED IMAGING FEATURES OF PRIMARY RECTAL CANCER ON BASELINE T2-WEIGHTED MRI MAY ENABLE ACCURATE PREDICTION OF PATIENTS WHO WILL ACHIEVE PATHOLOGIC COMPLETE RESPONSE OR NON-RESPONSE TO NEOADJUVANT CHEMORADIATION.
  Volume: 62 Page(s): E53 - E54
  06/01/2019 Authors: Antunes J; Ofshteyn A; Madabhushi A; Purysko A; Marderstein E; Stein SL; Kalady M; Viswanath S
• COMPUTERIZED IMAGING FEATURES OF RECTAL WALL AND PERIRECTAL FAT ON T2-WEIGHTED MRI ARE ASSOCIATED WITH COMPLETE PATHOLOGIC TUMOR STAGE REGRESSION AFTER CHEMORADIATION: INITIAL RESULTS.
  Volume: 62 Page(s): E281 - E282
  06/01/2019 Authors: Wei Z; Yim M; Antunes J; Bera K; Brady JT; Madabhushi A; Delaney CP; Viswanath S
• The revolving door for AI and pathologists-docendo discimus?
  J Med Artif Intell Volume: 2
  06/01/2019 Authors: Van Es SL; Madabhushi A
• Applications of machine learning in drug discovery and development.
  Nat Rev Drug Discov Volume: 18 Page(s): 463 - 477
  06/01/2019 Authors: Vamathevan J; Clark D; Czodrowski P; Dunham I; Ferran E; Lee G; Li B; Madabhushi A; Shah P; Spitzer M
• Disorder in Pixel-Level Edge Directions on T1WI Is Associated with the Degree of Radiation Necrosis in Primary and Metastatic Brain Tumors: Preliminary Findings (vol 40, pg 412, 2019)
  AMERICAN JOURNAL OF NEURORADIOLOGY Volume: 40 Page(s): E33 - E33
  06/01/2019 Authors: Prasanna P; Rogers L; Lam TC; Cohen M; Siddalingappa A; Wolansky L; Pinho M; Gupta A; Hatanpaa KJ; Madabhushi A
• Intra and perinodular CT delta radiomic features associated with early response to predict overall survival (OS) in immunotherapy-treated non-small cell lung cancer (NSCLC): A multisite multi-agent study.
  Volume: 37
  05/20/2019 Authors: Prasanna P; Khorrami M; Gupta A; Patil PD; Khunger M; Velu P; Bera K; Alilou M; Velcheti V; Madabhushi A
• Association of radiomic features from prostate bi-parametric MRI with Decipher risk categories to predict risk for biochemical recurrence postprostatectomy.
  Volume: 37
  05/20/2019 Authors: Li L; Shiradkar R; Leo P; Purysko A; Algohary A; Klein EA; Magi-Galluzzi C; Madabhushi A
• Association of Peritumoral Radiomics With Tumor Biology and Pathologic Response to Preoperative Targeted Therapy for HER2 (ERBB2)-Positive Breast Cancer.
  JAMA Netw Open Volume: 2 Page(s): e192561
  04/05/2019 Authors: Braman N; Prasanna P; Whitney J; Singh S; Beig N; Etesami M; Bates DDB; Gallagher K; Bloch BN; Vulchi M
• CORRELATION BETWEEN MRI PHENOTYPES AND A GENOMIC CLASSIFIER OF PROSTATE CANCER
  Volume: 201 Page(s): E404 - E404
  04/01/2019 Authors: Purysko A; Magi-Galluzzi C; Mian O; Davicioni E; du Plessis M; Buerki C; Bullen J; Li L; Madabhushi A; Stephenson A
• HistoQC: An Open-Source Quality Control Tool for Digital Pathology Slides.
  JCO Clin Cancer Inform Volume: 3 Page(s): 1 - 7
  04/01/2019 Authors: Janowczyk A; Zuo R; Gilmore H; Feldman M; Madabhushi A
• Multisite evaluation of radiomic feature reproducibility and discriminability for identifying peripheral zone prostate tumors on MRI.
  J Med Imaging (Bellingham) Volume: 6 Page(s): 024502
  04/01/2019 Authors: Chirra P; Leo P; Yim M; Bloch BN; Rastinehad AR; Purysko A; Rosen M; Madabhushi A; Viswanath SE
• Radiomics-based convolutional neural network for brain tumor segmentation on multiparametric magnetic resonance imaging.
  J Med Imaging (Bellingham) Volume: 6 Page(s): 024005
  04/01/2019 Authors: Prasanna P; Karnawat A; Ismail M; Madabhushi A; Tiwari P
• Combination of Peri- and Intratumoral Radiomic Features on Baseline CT Scans Predicts Response to Chemotherapy in Lung Adenocarcinoma.
  Radiol Artif Intell Volume: 1 Page(s): e180012
  03/20/2019 Authors: Khorrami M; Khunger M; Zagouras A; Patil P; Thawani R; Bera K; Rajiah P; Fu P; Velcheti V; Madabhushi A
• Computerized Nuclear Morphometric features from H&E Slide Images are prognostic of recurrence and predictive of added benefit of adjuvant chemotherapy in early stage non-small cell lung cancer
  Volume: 32
  03/01/2019 Authors: Wang X; Barrera C; Lu C; Yang M; Velcheti V; Madabhushi A
• Computerized Quantitation of Tumor Cell Multinucleation is Strongly Prognostic for p16-Positive Oropharyngeal Squamous Cell Carcinoma
  Volume: 32
  03/01/2019 Authors: Lewis J; Zhang Z; Xu J; Lu C; Bishop J; Madabhushi A
• Computational Histomorphometric Approach for Heart Transplant Rejection
  Volume: 99
  03/01/2019 Authors: Atta-Fosu T; Janowczyk A; Nirschl J; Lal P; Feldman M; Peyster E; Margulies K; Madabhushi A
• Deep Learning Based Detection of Normal and Globally Sclerotic Glomeruli on Whole Slide Images from the NEPTUNE Renal Biopsies with HE, PAS, Trichrome and Silver Staining
  Volume: 32
  03/01/2019 Authors: Jayapandian C; Chen Y; Janowczyk A; Palmer M; O'Toole J; Sedor J; Barisoni L; Madabhushi A
• Computational Histomorphometric Approach for Heart Transplant Rejection
  Volume: 32
  03/01/2019 Authors: Atta-Fosu T; Janowczyk A; Nirschl J; Lal P; Feldman M; Peyster E; Margulies K; Madabhushi A
• Computerized Quantitation of Tumor Cell Multinucleation is Strongly Prognostic for p16-Positive Oropharyngeal Squamous Cell Carcinoma
  Volume: 99
  03/01/2019 Authors: Lewis J; Zhang Z; Xu J; Lu C; Bishop J; Madabhushi A
• Computational Histomorphometric Classifier Identifies Higher Risk Patients Who Might Benefit from Adjuvant Radiation within Clinically Defined "Low-Risk" Oral Cavity Squamous Cell Carcinomas
  Volume: 99
  03/01/2019 Authors: Lu C; Bera K; Wang X; Lewis J; Madabhushi A
• Computational Histomorphometric Classifier Identifies Higher Risk Patients Who Might Benefit from Adjuvant Radiation within Clinically Defined "Low-Risk" Oral Cavity Squamous Cell Carcinomas
  Volume: 32
  03/01/2019 Authors: Lu C; Bera K; Wang X; Lewis J; Madabhushi A
• Deep Learning Based Detection of Normal and Globally Sclerotic Glomeruli on Whole Slide Images from the NEPTUNE Renal Biopsies with HE, PAS, Trichrome and Silver Staining
  Volume: 99
  03/01/2019 Authors: Jayapandian C; Chen Y; Janowczyk A; Palmer M; O'Toole J; Sedor J; Barisoni L; Madabhushi A
• Computerized Nuclear Morphometric features from H&E Slide Images are prognostic of recurrence and predictive of added benefit of adjuvant chemotherapy in early stage non-small cell lung cancer
  Volume: 99
  03/01/2019 Authors: Wang X; Barrera C; Lu C; Yang M; Velcheti V; Madabhushi A
• Disorder in Pixel-Level Edge Directions on T1WI Is Associated with the Degree of Radiation Necrosis in Primary and Metastatic Brain Tumors: Preliminary Findings.
  AJNR Am J Neuroradiol Volume: 40 Page(s): 412 - 417
  03/01/2019 Authors: Prasanna P; Rogers L; Lam TC; Cohen M; Siddalingappa A; Wolansky L; Pinho M; Gupta A; Hatanpaa KJ; Madabhushi A
• Spatial Architecture and Arrangement of Tumor-Infiltrating Lymphocytes for Predicting Likelihood of Recurrence in Early-Stage Non-Small Cell Lung Cancer.
  Clin Cancer Res Volume: 25 Page(s): 1526 - 1534
  03/01/2019 Authors: Corredor G; Wang X; Zhou Y; Lu C; Fu P; Syrigos K; Rimm DL; Yang M; Romero E; Schalper KA
• Perinodular and Intranodular Radiomic Features on Lung CT Images Distinguish Adenocarcinomas from Granulomas.
  Radiology Volume: 290 Page(s): 783 - 792
  03/01/2019 Authors: Beig N; Khorrami M; Alilou M; Prasanna P; Braman N; Orooji M; Rakshit S; Bera K; Rajiah P; Ginsberg J
• Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study.
  BMC Med Imaging Volume: 19 Page(s): 22
  02/28/2019 Authors: Viswanath SE; Chirra PV; Yim MC; Rofsky NM; Purysko AS; Rosen MA; Bloch BN; Madabhushi A
• Mass Effect Deformation Heterogeneity (MEDH) on Gadolinium-contrast T1-weighted MRI is associated with decreased survival in patients with right cerebral hemisphere Glioblastoma: A feasibility study.
  Sci Rep Volume: 9 Page(s): 1145
  02/04/2019 Authors: Prasanna P; Mitra J; Beig N; Nayate A; Patel J; Ghose S; Thawani R; Partovi S; Madabhushi A; Tiwari P
• Convolutional neural network initialized active contour model with adaptive ellipse fitting for nuclear segmentation on breast histopathological images.
  J Med Imaging (Bellingham) Volume: 6 Page(s): 017501
  01/01/2019 Authors: Xu J; Gong L; Wang G; Lu C; Gilmore H; Zhang S; Madabhushi A
• Radiomic features from pretreatment biparametric MRI predict prostate cancer biochemical recurrence: Preliminary findings.
  J Magn Reson Imaging Volume: 48 Page(s): 1626 - 1636
  12/01/2018 Authors: Shiradkar R; Ghose S; Jambor I; Taimen P; Ettala O; Purysko AS; Madabhushi A
• Shape Features of the Lesion Habitat to Differentiate Brain Tumor Progression from Pseudoprogression on Routine Multiparametric MRI: A Multisite Study.
  AJNR Am J Neuroradiol Volume: 39 Page(s): 2187 - 2193
  12/01/2018 Authors: Ismail M; Hill V; Statsevych V; Huang R; Prasanna P; Correa R; Singh G; Bera K; Beig N; Thawani R
• Histomorphometric Features of Nuclei Architecture and Morphology in Digitized H&E Images Correlate with Mutations in EGFR and KRAS in Early-stage Non-small Cell Lung Cancer
  Volume: 20 Page(s): 999 - 1000
  11/01/2018 Authors: Velu PD; Lu C; Bera K; Roth DB; Morrissette JJ; Feldman MD; Madabhushi A
• RADIOGENOMIC ANALYSIS OF GLIOBLASTOMA REVEALS TEXTURAL FEATURES FROM MRI THAT CORRELATE WITH GENOMIC IMMUNE SCORE AND ARE ALSO PREDICTIVE OF CHEMO-RADIATION TREATMENT RESPONSE
  Volume: 20 Page(s): 181 - 181
  11/01/2018 Authors: Beig N; Braman N; Prasanna P; Varadan V; Madabhushi A; Tiwari P
• RADIOMIC FEATURES OF GLIOBLASTOMA ON PRE-TREATMENT GD-T1W MRI ARE PREDICTIVE OF RESPONSE TO CHEMO-RADIATION THERAPY AND ASSOCIATED WITH AKT AND APOPTOSIS PATHWAYS
  Volume: 20 Page(s): 181 - 181
  11/01/2018 Authors: Beig N; Prasanna P; Verma R; Hill V; Varadan V; Madabhushi A; Tiwari P
• SPATIAL DISTRIBUTION ATLASES OF POST-TREATMENT MRI SCANS REVEAL DISTINCT HEMISPHERIC DISTRIBUTION OF GLIOBLASTOMA RECURRENCE FROM PSEUDO-PROGRESSION
  Volume: 20 Page(s): 188 - 188
  11/01/2018 Authors: Ismail M; Hill V; Statsevych V; Huang R; Correa R; Singh G; Bera K; Thawani R; Madabhushi A; Ahluwalia M
• Nuclear shape and orientation features from H&E images predict survival in early-stage estrogen receptor-positive breast cancers.
  Lab Invest Volume: 98 Page(s): 1438 - 1448
  11/01/2018 Authors: Lu C; Romo-Bucheli D; Wang X; Janowczyk A; Ganesan S; Gilmore H; Rimm D; Madabhushi A
• Quantitative vessel tortuosity: A potential CT imaging biomarker for distinguishing lung granulomas from adenocarcinomas.
  Sci Rep Volume: 8 Page(s): 15290
  10/16/2018 Authors: Alilou M; Orooji M; Beig N; Prasanna P; Rajiah P; Donatelli C; Velcheti V; Rakshit S; Yang M; Jacono F
• Stable and discriminating features are predictive of cancer presence and Gleason grade in radical prostatectomy specimens: a multi-site study.
  Sci Rep Volume: 8 Page(s): 14918
  10/08/2018 Authors: Leo P; Elliott R; Shih NNC; Gupta S; Feldman M; Madabhushi A
• Changes in Radiomic Features Between Baseline and Two Weeks Post-Nivolumab Treatment Are Predictive of Pathologic Complete Response
  Volume: 13 Page(s): S595 - S595
  10/01/2018 Authors: Khorrami M; Prasanna P; Corredor-Prada G; Velcheti V; Madabhushi A; Bera K
• Pre-Therapy Radiomic Features Can Distinguish Hyperprogression from Other Response Patterns to PD1/PD-L1 Inhibitors in NSCLC
  Volume: 13 Page(s): S737 - S737
  10/01/2018 Authors: Patil P; Bera K; Vaidya P; Khorrami M; Jain P; Madabhushi A; Velcheti V
• Interaction of Tumor Infiltrating Lymphocytes and Cancer Nuclei Predicts Response to Nivolumab in Non-Small Cell Lung Cancer (NSCLC)
  Volume: 13 Page(s): S393 - S393
  10/01/2018 Authors: Wang X; Barrera C; Lu C; Velcheti V; Madabhushi A
• Radiomic Features on CTare Prognostic of Recurrence as well as Predictive of Added Benefit of Adjuvant Chemotherapy in ES-NSCLC
  Volume: 13 Page(s): S1007 - S1007
  10/01/2018 Authors: Vaidya P; Bera K; Fu P; Ganesan S; Khunger A; Patil P; Velcheti V; Madabhushi A
• Advances in the computational and molecular understanding of the prostate cancer cell nucleus.
  J Cell Biochem Volume: 119 Page(s): 7127 - 7142
  09/01/2018 Authors: Carleton NM; Lee G; Madabhushi A; Veltri RW
• Advanced Morphologic Analysis for Diagnosing Allograft Rejection: The Case of Cardiac Transplant Rejection.
  Transplantation Volume: 102 Page(s): 1230 - 1239
  08/01/2018 Authors: Peyster EG; Madabhushi A; Margulies KB
• Coregistration of Preoperative MRI with Ex Vivo Mesorectal Pathology Specimens to Spatially Map Post-treatment Changes in Rectal Cancer Onto In Vivo Imaging: Preliminary Findings.
  Acad Radiol Volume: 25 Page(s): 833 - 841
  07/01/2018 Authors: Antunes J; Viswanath S; Brady JT; Crawshaw B; Ros P; Steele S; Delaney CP; Paspulati R; Willis J; Madabhushi A
• Combination of quantitative histomorphometry with NF kappa B/p65 nuclear localization is better predictor of biochemical recurrence in prostate cancer patients
  Volume: 78
  07/01/2018 Authors: Leo P; Shankar E; Elliott R; Janowczyk A; Janaki N; MacLennan GT; Madabhushi A; Gupta S
• Quantitative nuclear histomorphometry predicts oncotype DX risk categories for early stage ER+ breast cancer.
  BMC Cancer Volume: 18 Page(s): 610
  05/30/2018 Authors: Whitney J; Corredor G; Janowczyk A; Ganesan S; Doyle S; Tomaszewski J; Feldman M; Gilmore H; Madabhushi A
• Novel Quantitative Imaging for Predicting Response to Therapy: Techniques and Clinical Applications.
  Am Soc Clin Oncol Educ Book Volume: 38 Page(s): 1008 - 1018
  05/23/2018 Authors: Bera K; Velcheti V; Madabhushi A
• Combination of CT derived radiomic features and lymphovascular invasion status to predict disease recurrence following trimodality therapy in non-small cell lung cancer.
  Volume: 36
  05/20/2018 Authors: Khorrami M; Jain P; Khunger M; Ahmad U; Stephans KL; Murthy SC; Velcheti V; Madabhushi A
• Computer extracted features of cancer nuclei from H&E stained tissues of tumor predicts response to nivolumab in non-small cell lung cancer.
  Volume: 36
  05/20/2018 Authors: Wang X; Barrera C; Velu P; Bera K; Prasanna P; Khunger M; Khunger A; Velcheti V; Madabhushi A
• Correlation of radiomic features with PD-L1 expression in early stage non-small cell lung cancer (ES-NSCLC) to predict recurrence and overall survival (OS).
  Volume: 36
  05/20/2018 Authors: Patil PD; Bera K; Vaidya P; Prasanna P; Khunger M; Khunger A; Velcheti V; Madabhushi A
• MACHINE LEARNING ANALYSIS OF THE WHOLE RECTAL WALL ON POST-NEOADJUVANT CHEMORADIATION MRI MAY OFFER ACCURATE IDENTIFICTION OF RECTAL CANCER PATIENTS NEEDING MORE AGGRESSIVE FOLLOW-UP OR SURGERY
  Volume: 154 Page(s): S1289 - S1289
  05/01/2018 Authors: Antunes J; Selvam A; Bera K; Brady J; Willis J; Paspulati RM; Madabhushi A; Delaney CP; Viswanath S
• Combination of computer extracted shape and texture features enables discrimination of granulomas from adenocarcinoma on chest computed tomography.
  J Med Imaging (Bellingham) Volume: 5 Page(s): 024501
  04/01/2018 Authors: Orooji M; Alilou M; Rakshit S; Beig N; Khorrami MH; Rajiah P; Thawani R; Ginsberg J; Donatelli C; Yang M
• COMBINATION OF NF-kappa B/P65 NUCLEAR LOCALIZATION AND GLAND MORPHOLOGIC FEATURES IS PREDICTIVE OF BIOCHEMICAL RECURRENCE
  Volume: 199 Page(s): E450 - E450
  04/01/2018 Authors: Leo P; Shankar E; Elliott R; Janowczyk A; Janaki N; MacLennan G; Madabhushi A; Gupta S
• A Quantitative Histomorphometric Classifier (QuHbIC) for Risk Stratification in p16-Positive Oropharyngeal Squamous Cell Carcinoma
  Volume: 31 Page(s): 479 - 480
  03/01/2018 Authors: Lu C; Luo J; Bishop J; Thorstad W; Madabhushi A; Lewis JS
• Computer-Extracted Nuclear Shape Features Distinguish Consensus High- and Low-Grade Non-Invasive Papillary Urothelial Carcinomas
  Volume: 31 Page(s): 371 - 372
  03/01/2018 Authors: Nezami BG; Akgul M; Leo P; Harper H; Elliott R; Janowczyk A; Madabhushi A; MacLennan G
• A Quantitative Histomorphometric Classifier (QuHbIC) for Risk Stratification in p16-Positive Oropharyngeal Squamous Cell Carcinoma
  Volume: 98 Page(s): 479 - 480
  03/01/2018 Authors: Lu C; Luo J; Bishop J; Thorstad W; Madabhushi A; Lewis JS
• Computer-Extracted Nuclear Shape Features Distinguish Consensus High-and Low-Grade Non-Invasive Papillary Urothelial Carcinomas
  Volume: 98 Page(s): 371 - 372
  03/01/2018 Authors: Nezami BG; Akgul M; Leo P; Harper H; Elliott R; Janowczyk A; Madabhushi A; MacLennan G
• Radiomic features on MRI enable risk categorization of prostate cancer patients on active surveillance: Preliminary findings.
  J Magn Reson Imaging
  02/22/2018 Authors: Algohary A; Viswanath S; Shiradkar R; Ghose S; Pahwa S; Moses D; Jambor I; Shnier R; Bhm M; Haynes A-M
• Computer extracted features of tumor grade from H&E images predict oncotype DX risk categories for early stage ER plus breast cancer
  Volume: 78
  02/01/2018 Authors: Whitney JR; Romeo-Bucheli D; Janowczyk A; Ganesan S; Feldman M; Gilmore H; Madabhushi A
• Intratumoral and peritumoral MRI signatures of HER2-enriched subtype also predict pathological response to neoadjuvant chemotherapy in HER2+breast cancers
  Volume: 78
  02/01/2018 Authors: Braman N; Prasanna P; Singh S; Beig N; Gilmore H; Etesami M; Bates D; Gallagher K; Bloch BN; Somlo G
• Radiogenomic analysis of HER2+breast cancer reveals MRI features correlated with genomic immune index are predictive of neoadjuvant chemotherapy response
  Volume: 78
  02/01/2018 Authors: Braman N; Prasanna P; Singh S; Beig N; Gilmore H; Etesami M; Bates D; Gallagher K; Bloch BN; Somlo G
• Quantitative image features of nuclear and tubule architecture distinguish high and low oncotype DX risk categories of ductal carcinoma in situ from H&E tissue images
  Volume: 78
  02/01/2018 Authors: Li H; Whitney J; Thawani R; Gilmore H; Badve S; Madabhushi A
• Radiogenomic analysis of hypoxia pathway is predictive of overall survival in Glioblastoma.
  Sci Rep Volume: 8 Page(s): 7
  01/08/2018 Authors: Beig N; Patel J; Prasanna P; Hill V; Gupta A; Correa R; Bera K; Singh S; Partovi S; Varadan V
• A deep-learning classifier identifies patients with clinical heart failure using whole-slide images of H&E tissue.
  PLoS One Volume: 13 Page(s): e0192726
  01/01/2018 Authors: Nirschl JJ; Janowczyk A; Peyster EG; Frank R; Margulies KB; Feldman MD; Madabhushi A
• Computer-Aided Laser Dissection: A Microdissection Workflow Leveraging Image Analysis Tools.
  J Pathol Inform Volume: 9 Page(s): 45
  01/01/2018 Authors: Hipp JD; Johann DJ; Chen Y; Madabhushi A; Monaco J; Cheng J; Rodriguez-Canales J; Stumpe MC; Riedlinger G; Rosenberg AZ
• Identifying the morphologic basis for radiomic features in distinguishing different Gleason grades of prostate cancer on MRI: Preliminary findings.
  PLoS One Volume: 13 Page(s): e0200730
  01/01/2018 Authors: Penzias G; Singanamalli A; Elliott R; Gollamudi J; Shih N; Feldman M; Stricker PD; Delprado W; Tiwari S; Bhm M
• High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection.
  PLoS One Volume: 13 Page(s): e0196828
  01/01/2018 Authors: Cruz-Roa A; Gilmore H; Basavanhally A; Feldman M; Ganesan S; Shih N; Tomaszewski J; Madabhushi A; Gonzlez F
• Radiomics and radiogenomics in lung cancer: A review for the clinician.
  Lung Cancer Volume: 115 Page(s): 34 - 41
  01/01/2018 Authors: Thawani R; McLane M; Beig N; Ghose S; Prasanna P; Velcheti V; Madabhushi A
• A resolution adaptive deep hierarchical (RADHicaL) learning scheme applied to nuclear segmentation of digital pathology images.
  Comput Methods Biomech Biomed Eng Imaging Vis Volume: 6 Page(s): 270 - 276
  01/01/2018 Authors: Janowczyk A; Doyle S; Gilmore H; Madabhushi A
• An oral cavity squamous cell carcinoma quantitative histomorphometric-based image classifier of nuclear morphology can risk stratify patients for disease-specific survival.
  Mod Pathol Volume: 30 Page(s): 1655 - 1665
  12/01/2017 Authors: Lu C; Lewis JS; Dupont WD; Plummer WD; Janowczyk A; Madabhushi A
• Prostate shapes on pre-treatment MRI between prostate cancer patients who do and do not undergo biochemical recurrence are different: Preliminary Findings.
  Sci Rep Volume: 7 Page(s): 15829
  11/20/2017 Authors: Ghose S; Shiradkar R; Rusu M; Mitra J; Thawani R; Feldman M; Gupta AC; Purysko AS; Ponsky L; Madabhushi A
• SHAPE ATTRIBUTES OF ENHANCING LESION BOUNDARIES CAN DIFFERENTIATE TUMOR RECURRENCE FROM PSEUDO-PROGRESSION ON ROUTINE BRAIN MRI SCANS: PRELIMINARY FINDINGS
  Volume: 19 Page(s): 160 - 160
  11/01/2017 Authors: Isamail M; Prasanna P; Huang R; Singh G; Thawani R; Madabhushi A; Ahluwalia M; Tiwari P
• USE OF TEXTURAL RADIOMIC MAPS IN A 3D CONVOLUTIONAL NEURAL NETWORK FRAMEWORK CAN AUGMENT GLIOMA LESION SEGMENTATION
  Volume: 19 Page(s): 156 - 156
  11/01/2017 Authors: Karnawat A; Prasanna P; Madabhushi A; Tiwari P
• STRUCTURAL DEFORMATION FIELD ON T-1W MRI IN HEALTHY BRAIN PARENCHYMA IS ASSOCIATED WITH OVERALL SURVIVAL IN TREATMENT-NAIVE GLIOBLASTOMA MULTIFORME
  Volume: 19 Page(s): 145 - 146
  11/01/2017 Authors: Prasanna P; Mitra J; Beig N; Partovi S; Singh G; Pinho M; Madabhushi A; Tiwari P
• Prediction of Response to Trimodality Therapy Using CT-Derived Radiomic Features in Stage III Non-Small Cell Lung Cancer (NSCLC)
  Volume: 12 Page(s): S1875 - S1875
  11/01/2017 Authors: Jain P; Ahmad U; Murthy S; Stephans K; Khorrami M; Madabhushi A; Velcheti V
• Clusters Spatial Arrangement of Tumor Infiltrating Lymphocyte and Cancer Nuclei Predicts Recurrence in Early Stage Non-Small Cell Lung Cancer
  Volume: 12 Page(s): S2372 - S2373
  11/01/2017 Authors: Wang X; Corredor G; Romero E; Schalper K; Yang M; Rimm D; Velcheti V; Madabhushi A
• Radiomic Features on Baseline CT Are Predictive of Recurrence in Early Stage Non-Small Cell Lung Cancer Patients
  Volume: 12 Page(s): S2393 - S2393
  11/01/2017 Authors: Vaidya P; Patil P; Choi H; Velcheti V; Madabhushi A
• An Image Analysis Resource for Cancer Research: PIIP-Pathology Image Informatics Platform for Visualization, Analysis, and Management.
  Cancer Res Volume: 77 Page(s): e83 - e86
  11/01/2017 Authors: Martel AL; Hosseinzadeh D; Senaras C; Zhou Y; Yazdanpanah A; Shojaii R; Patterson ES; Madabhushi A; Gurcan MN
• Reply.
  AJNR Am J Neuroradiol Volume: 38 Page(s): E94
  11/01/2017 Authors: Tiwari P; Madabhushi A
• Prediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear features from digital H&E images.
  Sci Rep Volume: 7 Page(s): 13543
  10/19/2017 Authors: Wang X; Janowczyk A; Zhou Y; Thawani R; Fu P; Schalper K; Velcheti V; Madabhushi A
• Radiomic features from the peritumoral brain parenchyma on treatment-nave multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: Preliminary findings.
  Eur Radiol Volume: 27 Page(s): 4188 - 4197
  10/01/2017 Authors: Prasanna P; Patel J; Partovi S; Madabhushi A; Tiwari P
• Co-registration of pre-operative CT with ex vivo surgically excised ground glass nodules to define spatial extent of invasive adenocarcinoma on in vivo imaging: a proof-of-concept study.
  Eur Radiol Volume: 27 Page(s): 4209 - 4217
  10/01/2017 Authors: Rusu M; Rajiah P; Gilkeson R; Yang M; Donatelli C; Thawani R; Jacono FJ; Linden P; Madabhushi A
• Erratum to: Radiomic features from the peritumoral brain parenchyma on treatment-nave multi-parametric MR imaging predict long versus short-term survival in glioblastoma multiforme: Preliminary findings.
  Eur Radiol Volume: 27 Page(s): 4198 - 4199
  10/01/2017 Authors: Prasanna P; Patel J; Partovi S; Madabhushi A; Tiwari P
• Nuclear Shape and Architecture in Benign Fields Predict Biochemical Recurrence in Prostate Cancer Patients Following Radical Prostatectomy: Preliminary Findings.
  Eur Urol Focus Volume: 3 Page(s): 457 - 466
  10/01/2017 Authors: Lee G; Veltri RW; Zhu G; Ali S; Epstein JI; Madabhushi A
• Discriminative Scale Learning (DiScrn): Applications to Prostate Cancer Detection from MRI and Needle Biopsies.
  Sci Rep Volume: 7 Page(s): 12375
  09/28/2017 Authors: Wang H; Viswanath S; Madabhushi A
• Co-Registration of ex vivo Surgical Histopathology and in vivo T2 weighted MRI of the Prostate via multi-scale spectral embedding representation.
  Sci Rep Volume: 7 Page(s): 8717
  08/18/2017 Authors: Li L; Pahwa S; Penzias G; Rusu M; Gollamudi J; Viswanath S; Madabhushi A
• Cascaded Multi-view Canonical Correlation (CaMCCo) for Early Diagnosis of Alzheimer's Disease via Fusion of Clinical, Imaging and Omic Features.
  Sci Rep Volume: 7 Page(s): 8137
  08/15/2017 Authors: Singanamalli A; Wang H; Madabhushi A; Alzheimers Disease Neuroimaging Initiative
• Erratum to: Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI.
  Breast Cancer Res Volume: 19 Page(s): 80
  07/10/2017 Authors: Braman NM; Etesami M; Prasanna P; Dubchuk C; Gilmore H; Tiwari P; Plecha D; Madabhushi A
• Targeting the PI3K-Akt and NF-kappa B pathways as a combination therapy in blocking prostate cancer progression
  Volume: 77
  07/01/2017 Authors: Shankar E; Kanwal R; Goel A; Yang X; Shukla S; MacLennan GT; Fu P; Madabhushi A; Ramakrishnan P; Gupta S
• An integrated segmentation and shape-based classification scheme for distinguishing adenocarcinomas from granulomas on lung CT.
  Med Phys Volume: 44 Page(s): 3556 - 3569
  07/01/2017 Authors: Alilou M; Beig N; Orooji M; Rajiah P; Velcheti V; Rakshit S; Reddy N; Yang M; Jacono F; Gilkeson RC
• Radiomic features for prostate cancer detection on MRI differ between the transition and peripheral zones: Preliminary findings from a multi-institutional study.
  J Magn Reson Imaging Volume: 46 Page(s): 184 - 193
  07/01/2017 Authors: Ginsburg SB; Algohary A; Pahwa S; Gulani V; Ponsky L; Aronen HJ; Bostrm PJ; Bhm M; Haynes A-M; Brenner P
• A deep learning based strategy for identifying and associating mitotic activity with gene expression derived risk categories in estrogen receptor positive breast cancers.
  Cytometry A Volume: 91 Page(s): 566 - 573
  06/01/2017 Authors: Romo-Bucheli D; Janowczyk A; Gilmore H; Romero E; Madabhushi A
• MRI TEXTURAL FEATURES CAN DIFFERENTIATE PEDIATRIC POSTERIOR FOSSA TUMORS
  Volume: 19 Page(s): 47 - 47
  06/01/2017 Authors: Beig N; Correa R; Thawani R; Prasanna P; Badve C; Gold D; Madabhushi A; de Blank P; Tiwari P
• Evolution of radiomic features on serial CT scans as an imaging based biomarker for evaluating response in patients with non-small cell lung cancer treated with nivolumab.
  Volume: 35
  05/20/2017 Authors: Xie Y; Khunger M; Thawani R; Velcheti V; Madabhushi A
• Computer extracted features of nuclear architecture in H&E sections to predict disease recurrence in oropharyngeal squamous cell carcinoma patients.
  Volume: 35
  05/20/2017 Authors: Lu C; Lewis J; Madabhushi A
• Computer extracted shape features of prostate capsule from MRI to predict biochemical recurrence of prostate cancer post-treatment.
  Volume: 35
  05/20/2017 Authors: Ghose S; Shiradkar R; Rusu M; Mitra J; Thawani R; Gupta A; Purysko A; Madabhushi A
• Computer extracted nuclear features from tumor and benign regions of Feulgen and H&E images to help predict recurrence in prostate cancer patients following radical prostatectomy.
  Volume: 35
  05/20/2017 Authors: Gawlik A; Lee G; Feldman MD; Zhu G; Veltri RW; Madabhushi A
• A combination of computer extracted measurements of prostate capsule shape and tumor texture on MRI to predict biochemical recurrence post treatment.
  Volume: 35
  05/20/2017 Authors: Shiradkar R; Ghose S; Purysko A; Madabhushi A
• Computer extracted features of gland morphology on H&E surgically resected tissue images as predictive of biochemical recurrence and rate of expression in African American compared to Caucasian American men.
  Volume: 35
  05/20/2017 Authors: Leo P; Janaki N; Thawani R; Elliott R; Gupta S; Shih N; Feldman MD; Madabhushi A
• Computer extracted measurements of intra-tumoral heterogeneity on H&E stained tissue images to distinguish short term and long term survivors in patients with non-small cell lung carcinoma.
  Volume: 35
  05/20/2017 Authors: Lu C; Khunger M; Thawani R; Velcheti V; Madabhushi A
• Changes in computer extracted features of vessel tortuosity on CT scans post-treatment in responders compared to non-responders for non-small cell lung cancer on immunotherapy.
  Volume: 35
  05/20/2017 Authors: Velcheti V; Alilou M; Khunger M; Thawani R; Madabhushi A
• Computer extracted measurements of vessel tortuosity on baseline CT scans to predict response to nivolumab immunotherapy for non-small cell lung cancer.
  Volume: 35
  05/20/2017 Authors: Khunger M; Alilou M; Thawani R; Madabhushi A; Velcheti V
• Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI.
  Breast Cancer Res Volume: 19 Page(s): 57
  05/18/2017 Authors: Braman NM; Etesami M; Prasanna P; Dubchuk C; Gilmore H; Tiwari P; Plecha D; Madabhushi A
• Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent.
  Sci Rep Volume: 7 Page(s): 46450
  04/18/2017 Authors: Cruz-Roa A; Gilmore H; Basavanhally A; Feldman M; Ganesan S; Shih NNC; Tomaszewski J; Gonzlez FA; Madabhushi A
• Stain Normalization using Sparse AutoEncoders (StaNoSA): Application to digital pathology.
  Comput Med Imaging Graph Volume: 57 Page(s): 50 - 61
  04/01/2017 Authors: Janowczyk A; Basavanhally A; Madabhushi A
• Connecting Markov random fields and active contour models: application to gland segmentation and classification.
  J Med Imaging (Bellingham) Volume: 4 Page(s): 021107
  04/01/2017 Authors: Xu J; Monaco JP; Sparks R; Madabhushi A
• Training a cell-level classifier for detecting basal-cell carcinoma by combining human visual attention maps with low-level handcrafted features.
  J Med Imaging (Bellingham) Volume: 4 Page(s): 021105
  04/01/2017 Authors: Corredor G; Whitney J; Arias V; Madabhushi A; Romero E
• Special Section Guest Editorial: Digital Pathology.
  J Med Imaging (Bellingham) Volume: 4 Page(s): 021101
  04/01/2017 Authors: Gurcan MN; Tomaszewski JE; Madabhushi A
• PROSTATE CANCER AGGRESSIVENESS IS MEDIATED BY AKT AND NF-kappa B SIGNALING PATHWAYS: A SYSTEMS BIOLOGY APPROACH
  Volume: 197 Page(s): E594 - E594
  04/01/2017 Authors: Shankar E; Kanwal R; Goel A; Yang X; Shukla S; MacLennan G; Fu P; Li J; Madabhushi A; Gupta S
• Reply.
  AJNR Am J Neuroradiol Volume: 38 Page(s): E20
  03/01/2017 Authors: Tiwari P; Wolansky L; Nayate A; Madabhushi A
• Reply.
  AJNR Am J Neuroradiol Volume: 38 Page(s): E22
  03/01/2017 Authors: Tiwari P; Madabhushi A
• Computational imaging reveals shape differences between normal and malignant prostates on MRI.
  Sci Rep Volume: 7 Page(s): 41261
  02/01/2017 Authors: Rusu M; Purysko AS; Verma S; Kiechle J; Gollamudi J; Ghose S; Herrmann K; Gulani V; Paspulati R; Ponsky L
• Deep Learning Classifier to Predict Cardiac Failure from Whole Slide H&E Images
  Volume: 30 Page(s): 532A - 533A
  02/01/2017 Authors: Nirschl J; Janowczyk A; Peyster E; Frank R; Margulies K; Feldman M; Madabhushi A
• Computer Extracted Features of Nuclear Shape and Architecture Predict Oncotype DX Risk Categories for Early Stage ER plus Breast Cancer
  Volume: 30 Page(s): 464A - 464A
  02/01/2017 Authors: Whitney J; Janowczyk A; Corredor G; Gilmore H; Madabhushi A
• Computerized Density Estimation of Tumor-Infiltrating Lymphocyte in H&E TMAs Predicts Recurrence in Early Stage Non-Small Cell Lung Cancer
  Volume: 30 Page(s): 401A - 402A
  02/01/2017 Authors: Wang X; Corredor G; Romero E; Janowczyk A; Zhou Y; Yang MC; Velcheti V; Madabhushi A
• Identifying the Histomorphometric Basis of MRI Radiomic Features in Distinguishing Gleason Grades of Prostate Cancer
  Volume: 30 Page(s): 400A - 401A
  02/01/2017 Authors: Penzias G; Singanamalli A; Elliott R; Gollamudi J; Shih N; Feldman M; Stricker PD; Delprado W; Tiwari S; Bohm M
• Computer Extracted Features of Nuclear Architecture in H&E Sectionsare Predictive of Disease Specific Survival Inoral Cavity Squamous Cell Carcinoma Patients
  Volume: 30 Page(s): 328A - 328A
  02/01/2017 Authors: Lu C; Lewis J; Madabhushi A
• Deep Learning Automated Segmentation of Tumor Infiltrating Lymphocytes in Breast Cancer Specimens
  Volume: 30 Page(s): 49A - 49A
  02/01/2017 Authors: Janaki N; Whitney J; Janowczyk A; Madabhushi A; Avril S
• Deep Learning Classifier to Predict Cardiac Failure from Whole-Slide H&E Images
  Volume: 97 Page(s): 532A - 533A
  02/01/2017 Authors: Nirschl J; Janowczyk A; Peyster E; Frank R; Margulies K; Feldman M; Madabhushi A
• Computer Extracted Features of Nuclear Shape and Architecture Predict Oncotype DX Risk Categories for Early Stage ER plus Breast Cancer
  Volume: 97 Page(s): 464A - 464A
  02/01/2017 Authors: Whitney J; Janowczyk A; Corredor G; Gilmore H; Madabhushi A
• Identifying the Histomorphometric Basis of MRI Radiomic Features in Distinguishing Gleason Grades of Prostate Cancer
  Volume: 97 Page(s): 400A - 401A
  02/01/2017 Authors: Penzias G; Singanamalli A; Elliott R; Gollamudi J; Shih N; Feldman M; Stricker PD; Delprado W; Tiwari S; Bohm M
• Computer Extracted Features of Nuclear Architecture in H&E Sectionsare Predictive of Disease Specific Survival moral Cavity Squamous Cell Carcinoma Patients
  Volume: 97 Page(s): 328A - 328A
  02/01/2017 Authors: Lu C; Lewis J; Madabhushi A
• Deep Learning Automated Segmentation of Tumor Infiltrating Lymphocytes in Breast Cancer Specimens
  Volume: 97 Page(s): 49A - 49A
  02/01/2017 Authors: Janaki N; Whitney J; Janowczyk A; Madabhushi A; Avril S
• Dimensionality reduction-based fusion approaches for imaging and non-imaging biomedical data: concepts, workflow, and use-cases.
  BMC Med Imaging Volume: 17 Page(s): 2
  01/05/2017 Authors: Viswanath SE; Tiwari P; Lee G; Madabhushi A; Alzheimers Disease Neuroimaging Initiative
• Optical High Content Nanoscopy of Epigenetic Marks Decodes Phenotypic Divergence in Stem Cells.
  Sci Rep Volume: 7 Page(s): 39406
  01/04/2017 Authors: Kim JJ; Bennett NK; Devita MS; Chahar S; Viswanath S; Lee EA; Jung G; Shao PP; Childers EP; Liu S
• Single cell qPCR reveals that additional HAND2 and microRNA-1 facilitate the early reprogramming progress of seven-factor-induced human myocytes.
  PLoS One Volume: 12 Page(s): e0183000
  01/01/2017 Authors: Bektik E; Dennis A; Prasanna P; Madabhushi A; Fu J-D
• Patient-specific pharmacokinetic parameter estimation on dynamic contrast-enhanced MRI of prostate: Preliminary evaluation of a novel AIF-free estimation method.
  J Magn Reson Imaging Volume: 44 Page(s): 1405 - 1414
  12/01/2016 Authors: Ginsburg SB; Taimen P; Merisaari H; Vainio P; Bostrm PJ; Aronen HJ; Jambor I; Madabhushi A
• Computer-Extracted Texture Features to Distinguish Cerebral Radionecrosis from Recurrent Brain Tumors on Multiparametric MRI: A Feasibility Study.
  AJNR Am J Neuroradiol Volume: 37 Page(s): 2231 - 2236
  12/01/2016 Authors: Tiwari P; Prasanna P; Wolansky L; Pinho M; Cohen M; Nayate AP; Gupta A; Singh G; Hatanpaa KJ; Sloan A
• Co-occurrence of Local Anisotropic Gradient Orientations (CoLlAGe): A new radiomics descriptor.
  Sci Rep Volume: 6 Page(s): 37241
  11/22/2016 Authors: Prasanna P; Tiwari P; Madabhushi A
• Radiomics based targeted radiotherapy planning (Rad-TRaP): a computational framework for prostate cancer treatment planning with MRI.
  Radiat Oncol Volume: 11 Page(s): 148
  11/10/2016 Authors: Shiradkar R; Podder TK; Algohary A; Viswanath S; Ellis RJ; Madabhushi A
• FEATURES OF LOCAL GRADIENT DISORDER ON MRI THAT DISTINGUISH RADIATION NECROSIS AND TUMOR RECURRENCE POST-RADIOTHERAPY ARE ASSOCIATED WITH ZONAL NECROSIS, VESSEL WALL THICKENING, HYALINIZATION AND DEMYELINATION: A PRELIMINARY STUDY IN BRAIN TUMORS
  Volume: 18 Page(s): 141 - 141
  11/01/2016 Authors: Prasanna P; Rogers L; Cohen M; Singh G; Badve C; Wolansky L; Madabhushi A; Tiwari P
• IMPACT ON REMOTE FUNCTIONAL AREAS DUE TO TUMOR MASS EFFECT IS PROGNOSTIC OF OVERALL SURVIVAL IN GLIOBLASTOMA MULTIFORME
  Volume: 18 Page(s): 135 - 135
  11/01/2016 Authors: Mitra J; Nayate A; Madabhushi A; Tiwari P
• PREDICTING IDH MUTATION STATUS ON ROUTINE TREATMENT-NAIVE MRI USING RADIOGENOMIC FEATURES FROM PERITUMORAL BRAIN PARENCHYMA
  Volume: 18 Page(s): 124 - 124
  11/01/2016 Authors: Beig N; Correa R; Prasanna P; Mitra J; Madabhushi A; Nayate A; Tiwari P
• Multi-Pass Adaptive Voting for Nuclei Detection in Histopathological Images.
  Sci Rep Volume: 6 Page(s): 33985
  10/03/2016 Authors: Lu C; Xu H; Xu J; Gilmore H; Mandal M; Madabhushi A
• Image analysis and machine learning in digital pathology: Challenges and opportunities.
  Med Image Anal Volume: 33 Page(s): 170 - 175
  10/01/2016 Authors: Madabhushi A; Lee G
• Evaluating stability of histomorphometric features across scanner and staining variations: prostate cancer diagnosis from whole slide images.
  J Med Imaging (Bellingham) Volume: 3 Page(s): 047502
  10/01/2016 Authors: Leo P; Lee G; Shih NNC; Elliott R; Feldman MD; Madabhushi A
• Automated Tubule Nuclei Quantification and Correlation with Oncotype DX risk categories in ER+ Breast Cancer Whole Slide Images.
  Sci Rep Volume: 6 Page(s): 32706
  09/07/2016 Authors: Romo-Bucheli D; Janowczyk A; Gilmore H; Romero E; Madabhushi A
• AutoStitcher: An Automated Program for Efficient and Robust Reconstruction of Digitized Whole Histological Sections from Tissue Fragments.
  Sci Rep Volume: 6 Page(s): 29906
  07/26/2016 Authors: Penzias G; Janowczyk A; Singanamalli A; Rusu M; Shih N; Feldman M; Stricker PD; Delprado W; Tiwari S; Bhm M
• Emerging Themes in Image Informatics and Molecular Analysis for Digital Pathology.
  Annu Rev Biomed Eng Volume: 18 Page(s): 387 - 412
  07/11/2016 Authors: Bhargava R; Madabhushi A
• Out-of-Sample Extrapolation utilizing Semi-Supervised Manifold Learning (OSE-SSL): Content Based Image Retrieval for Histopathology Images.
  Sci Rep Volume: 6 Page(s): 27306
  06/06/2016 Authors: Sparks R; Madabhushi A
• A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images.
  Neurocomputing (Amst) Volume: 191 Page(s): 214 - 223
  05/26/2016 Authors: Xu J; Luo X; Wang G; Gilmore H; Madabhushi A
• Computer extracted nuclear features from Feulgen and H&E images to predict biochemical recurrence in prostate cancer patients following radical prostatectomy.
  Volume: 34
  05/20/2016 Authors: Gawlik A; Lee G; Epstein JI; Veltri RW; Zhu G; Pienta KJ; Madabhushi A
• Computerized textural analysis of DCE-MRI to enable identification of HER2-enriched breast cancers.
  Volume: 34
  05/20/2016 Authors: Braman N; Prasanna P; Plecha D; Gilmore HL; Harris L; Varadan V; Madabhushi A
• Computer extracted features on H&E images to improve biochemical recurrence prediction of Kattan nomogram for prostate cancer patients following radical prostatectomy: Preliminary findings.
  Volume: 34
  05/20/2016 Authors: Lee G; Veltri RW; Zhu G; Epstein JI; Pienta KJ; Madabhushi A
• COMPUTER EXTRACTED NUCLEAR FEATURES FROM FEULGEN AND H&E IMAGES PREDICT BIOCHEMICAL RECURRENCE IN PROSTATE CANCER PATIENTS FOLLOWING RADICAL PROSTATECTOMY
  Volume: 195 Page(s): E16 - E17
  04/01/2016 Authors: Gawlik A; Lee G; Whitney J; Epstein J; Veltri R; Madabhushi A
• Risk Factors for aquisition of invasive infections with NDM-1 (+) K. pneumoniae
  Volume: 45 Page(s): 116 - 116
  04/01/2016 Authors: Snyder BM; Anandan S; Madabhushi A; Prakasam A; Verghese VP; Balaji V; Simoes EAF
• Radiomics Analysis on FLT-PET/MRI for Characterization of Early Treatment Response in Renal Cell Carcinoma: A Proof-of-Concept Study.
  Transl Oncol Volume: 9 Page(s): 155 - 162
  04/01/2016 Authors: Antunes J; Viswanath S; Rusu M; Valls L; Hoimes C; Avril N; Madabhushi A
• A Radio-genomics Approach for Identifying High Risk Estrogen Receptor-positive Breast Cancers on DCE-MRI: Preliminary Results in Predicting OncotypeDX Risk Scores.
  Sci Rep Volume: 6 Page(s): 21394
  02/18/2016 Authors: Wan T; Bloch BN; Plecha D; Thompson CL; Gilmore H; Jaffe C; Harris L; Madabhushi A
• Local nuclear architecture features from H&E images predict early versus distant recurrence in lymph node negative, ER plus breast cancers
  Volume: 76
  02/15/2016 Authors: Ali S; Rimm D; Ganesan S; Madabhushi A
• Brief-exposure to preoperative bevacizumab reveals a TGF- signature predictive of response in HER2-negative breast cancers.
  Int J Cancer Volume: 138 Page(s): 747 - 757
  02/01/2016 Authors: Varadan V; Kamalakaran S; Gilmore H; Banerjee N; Janevski A; Miskimen KLS; Williams N; Basavanhalli A; Madabhushi A; Lezon-Geyda K
• Prediction of Breast Cancer Recurrence Risk Categories Using Automatic Mitotic Detection Algorithms Based on Deep Learning
  Volume: 96 Page(s): 69A - 69A
  02/01/2016 Authors: Romo-Bucheli D; Janowczyk A; Gilmore H; Romero E; Madabhushi A
• Editorial Comment.
  Urology Volume: 88 Page(s): 132 - 133
  02/01/2016 Authors: Hoimes CJ; Madabhushi A
• Stain Normalization in Digital Pathology Images Using Deep Learning
  Volume: 96 Page(s): 395A - 395A
  02/01/2016 Authors: Janowczyk A; Basavanhally A; Madabhushi A
• Evaluating Reproducibility of Computer Extracted Histologic Image Features for Predicting Biochemical Recurrence in Prostate Cancer: A Multi-Site, Multi-Scanner Study
  Volume: 96 Page(s): 396A - 397A
  02/01/2016 Authors: Leo P; Lee G; Madabhushi A
• Fully Automated, Accurate, and Efficient Segmentation of Cancer Nuclei in Breast Pathology Images
  Volume: 96 Page(s): 395A - 395A
  02/01/2016 Authors: Janowczyk A; Gilmore H; Madabhushi A
• Computer Extracted Features of Nuclear Morphology from Digital H&E Images Are Predictive of Recurrence in Stage I and II Non-Small Cell Lung Cancer
  Volume: 96 Page(s): 401A - 402A
  02/01/2016 Authors: Wang X; Janowczyk A; Zhou Y; Rakshit S; Velcheti V; Madabhushi A
• Prediction of Breast Cancer Recurrence Risk Categories Using Automatic Mitotic Detection Algorithms Based on Deep Learning
  Volume: 29 Page(s): 69A - 69A
  02/01/2016 Authors: Romo-Bucheli D; Janowczyk A; Gilmore H; Romero E; Madabhushi A
• Fully Automated, Accurate, and Efficient Segmentation of Cancer Nuclei in Breast Pathology Images
  Volume: 29 Page(s): 395A - 395A
  02/01/2016 Authors: Janowczyk A; Gilmore H; Madabhushi A
• Evaluating Reproducibility of Computer Extracted Histologic Image Features for Predicting Biochemical Recurrence in Prostate Cancer: A Multi-Site, Multi-Scanner Study
  Volume: 29 Page(s): 396A - 397A
  02/01/2016 Authors: Leo P; Lee G; Madabhushi A
• Stain Normalization in Digital Pathology Images Using Deep Learning
  Volume: 29 Page(s): 395A - 395A
  02/01/2016 Authors: Janowczyk A; Basavanhally A; Madabhushi A
• Computer Extracted Features of Nuclear Morphology from Digital H&E Images Are Predictive of Recurrence in Stage I and II Non-Small Cell Lung Cancer
  Volume: 29 Page(s): 401A - 402A
  02/01/2016 Authors: Wang X; Janowczyk A; Zhou Y; Rakshit S; Velcheti V; Madabhushi A
• Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases.
  J Pathol Inform Volume: 7 Page(s): 29
  01/01/2016 Authors: Janowczyk A; Madabhushi A
• Quantifying Post- Laser Ablation Prostate Therapy Changes on MRI via a Domain-Specific Biomechanical Model: Preliminary Findings.
  PLoS One Volume: 11 Page(s): e0150016
  01/01/2016 Authors: Toth R; Sperling D; Madabhushi A
• Adaptive Dimensionality Reduction with Semi-Supervision (AdDReSS): Classifying Multi-Attribute Biomedical Data.
  PLoS One Volume: 11 Page(s): e0159088
  01/01/2016 Authors: Lee G; Romo Bucheli DE; Madabhushi A
• Identifying in vivo DCE MRI markers associated with microvessel architecture and gleason grades of prostate cancer.
  J Magn Reson Imaging Volume: 43 Page(s): 149 - 158
  01/01/2016 Authors: Singanamalli A; Rusu M; Sparks RE; Shih NNC; Ziober A; Wang L-P; Tomaszewski J; Rosen M; Feldman M; Madabhushi A
• Stacked Sparse Autoencoder (SSAE) for Nuclei Detection on Breast Cancer Histopathology Images.
  IEEE Trans Med Imaging Volume: 35 Page(s): 119 - 130
  01/01/2016 Authors: Xu J; Xiang L; Liu Q; Gilmore H; Wu J; Tang J; Madabhushi A
• Computer-extracted Features Can Distinguish Noncancerous Confounding Disease from Prostatic Adenocarcinoma at Multiparametric MR Imaging.
  Radiology Volume: 278 Page(s): 135 - 145
  01/01/2016 Authors: Litjens GJS; Elliott R; Shih NNC; Feldman MD; Kobus T; Hulsbergen-van de Kaa C; Barentsz JO; Huisman HJ; Madabhushi A
• Feature Importance in Nonlinear Embeddings (FINE): Applications in Digital Pathology.
  IEEE Trans Med Imaging Volume: 35 Page(s): 76 - 88
  01/01/2016 Authors: Ginsburg SB; Lee G; Ali S; Madabhushi A
• Evaluating Stability of Histomorphometric Features across Scanner and Staining Variations: Predicting Biochemical Recurrence from Prostate Cancer Whole Slide Images
  Volume: 9791
  01/01/2016 Authors: Leo P; Lee G; Madabhushi A
• Sparse Non-negative Matrix Factorization (SNMF) based color unmixing for breast histopathological image analysis.
  Comput Med Imaging Graph Volume: 46 Pt 1 Page(s): 20 - 29
  12/01/2015 Authors: Xu J; Xiang L; Wang G; Ganesan S; Feldman M; Shih NN; Gilmore H; Madabhushi A
• Association of computerized texture features on MRI with early treatment response following laser ablation for neuropathic cancer pain: preliminary findings.
  J Med Imaging (Bellingham) Volume: 2 Page(s): 041008
  10/01/2015 Authors: Tiwari P; Danish SF; Jiang B; Madabhushi A
• Prediction of prostate cancer progression with biomarkers and tissue morphometry changes
  Volume: 75
  08/01/2015 Authors: Zhu G; Lee G; Davis C; Kagohara LT; Epstein JI; Landis P; Carter HB; Madabhushi A; Veltri RW
• Framework for 3D histologic reconstruction and fusion with in vivo MRI: Preliminary results of characterizing pulmonary inflammation in a mouse model.
  Med Phys Volume: 42 Page(s): 4822 - 4832
  08/01/2015 Authors: Rusu M; Golden T; Wang H; Gow A; Madabhushi A
• Novel PCA-VIP scheme for ranking MRI protocols and identifying computer-extracted MRI measurements associated with central gland and peripheral zone prostate tumors.
  J Magn Reson Imaging Volume: 41 Page(s): 1383 - 1393
  05/01/2015 Authors: Ginsburg SB; Viswanath SE; Bloch BN; Rofsky NM; Genega EM; Lenkinski RE; Madabhushi A
• QUANTITATIVE ASSESSMENT OF T2-WEIGHTED MRI TO BETTER IDENTIFY PATIENTS WITH PROSTATE CANCER IN A SCREENING POPULATION
  Volume: 193 Page(s): E739 - E739
  04/01/2015 Authors: Algohary A; Viswanath S; Prasanna P; Pahwa S; Gulani V; Moses D; Shnier R; Boehm M; Haynes A-M; Brenner P
• PROSTATE CANCER RECURRENCE CAN BE PREDICTED BY MEASURING NUCLEAR ORGANIZATION AND SHAPE PARAMETERS IN ADJACENT BENIGN REGIONS ON RADICAL PROSTATECTOMY SPECIMENS
  Volume: 193 Page(s): E61 - E62
  04/01/2015 Authors: Lee G; Veltri R; Ali S; Epstein J; Christudass C; Madabhushi A
• QUANTITATIVE HISTOMORPHOMETRIC ANALYSIS OF PROSTATE BIOPSY IMAGES PREDICT FAVORABLE OUTCOME IN ACTIVE SURVEILLANCE PATIENTS
  Volume: 193 Page(s): E6 - E7
  04/01/2015 Authors: Lee G; Veltri R; Zhu G; Carter HB; Landis P; Epstein J; Madabhushi A
• Structural and Functional Modeling of Chronic Lung Inflammation: Loss of Function Mechanisms
  Volume: 29
  04/01/2015 Authors: Golden T; Massa C; Rusu M; Wang H; Madabhushi A; Gow A
• Selective invocation of shape priors for deformable segmentation and morphologic classification of prostate cancer tissue microarrays.
  Comput Med Imaging Graph Volume: 41 Page(s): 3 - 13
  04/01/2015 Authors: Ali S; Veltri R; Epstein JI; Christudass C; Madabhushi A
• Multiattribute probabilistic prostate elastic registration (MAPPER): application to fusion of ultrasound and magnetic resonance imaging.
  Med Phys Volume: 42 Page(s): 1153 - 1163
  03/01/2015 Authors: Sparks R; Bloch BN; Feleppa E; Barratt D; Moses D; Ponsky L; Madabhushi A
• Assessment of algorithms for mitosis detection in breast cancer histopathology images.
  Med Image Anal Volume: 20 Page(s): 237 - 248
  02/01/2015 Authors: Veta M; van Diest PJ; Willems SM; Wang H; Madabhushi A; Cruz-Roa A; Gonzalez F; Larsen ABL; Vestergaard JS; Dahl AB
• A Novel Pathology-Radiology Fusion Workflow for Predicting Treatment Response and Patient Outcome in Rectal Cancers
  Volume: 28 Page(s): 402A - 402A
  02/01/2015 Authors: Viswanath S; Paspulati R; Delaney C; Willis J; Madabhushi A
• Histogram of Hosoya Indices for Assessing Similarity Across Subgraph Populations: Breast Cancer Prognosis Prediction From Digital Pathology
  Volume: 95 Page(s): 32A - 32A
  02/01/2015 Authors: Ali S; Basavanhally A; Ganesan S; Madabhushi A
• A Feature Learning Framework for Reproducible Invasive Tumor Detection of Breast Cancer in Whole-Slide Images
  Volume: 95 Page(s): 40A - 40A
  02/01/2015 Authors: Cruz-Roa A; Basavanhally A; Gonzalez F; Feldman M; Ganesan S; Shih N; Tomaszewski J; Gilmore H; Madabhushi A
• A Quantitative Histomorphometric Classifier Identifies Role of Stromal and Epithelial Features in Prediction of Disease Recurrence in p16+Oropharyngeal Squamous Cell Carcinoma
  Volume: 95 Page(s): 319A - 319A
  02/01/2015 Authors: Ali S; Lewis J; Madabhushi A
• Computerized Nuclear Shape Analysis of Prostate Biopsy Images Predict Favorable Outcome in Active Surveillance Patients
  Volume: 95 Page(s): 398A - 398A
  02/01/2015 Authors: Lee G; Veltri R; Zhu G; Epstein J; Madabhushi A
• Prostate Cancer Recurrence Can Be Predicted By Measuring Cell Graph and Nuclear Shape Parameters in the Benign Cancer-Adjacent Field of Surgical Specimens
  Volume: 95 Page(s): 398A - 399A
  02/01/2015 Authors: Lee G; Veltri R; Ali S; Epstein J; Christudass C; Madabhushi A
• Histology - CT Fusion Facilitates the Characterization of Suspicious Lung Lesions With No, Minimal, and Significant Invasion on CT
  Volume: 95 Page(s): 401A - 401A
  02/01/2015 Authors: Rusu M; Yang M; Rajiah P; Jacono F; Gilkeson R; Linden P; Madabhushi A
• Reducing Unnecessary Send Out Testing at an Academic Teaching Hospital
  Volume: 95 Page(s): 400A - 401A
  02/01/2015 Authors: Penzias G; Janowczyk A; Singanamalli A; Rusu M; Shih N; Feldman M; Viswanath S; Madabhushi A
• A Novel Pathology-Radiology Fusion Workflow for Predicting Treatment Response and Patient Outcome in Rectal Cancers
  Volume: 95 Page(s): 402A - 402A
  02/01/2015 Authors: Viswanath S; Paspulati R; Delaney C; Willis J; Madabhushi A
• Histogram of Hosoya Indices for Assessing Similarity Across Subgraph Populations: Breast Cancer Prognosis Prediction From Digital Pathology
  Volume: 28 Page(s): 32A - 32A
  02/01/2015 Authors: Ali S; Basavanhally A; Ganesan S; Madabhushi A
• A Feature Learning Framework for Reproducible Invasive Tumor Detection of Breast Cancer in Whole-Slide Images
  Volume: 28 Page(s): 40A - 40A
  02/01/2015 Authors: Cruz-Roa A; Basavanhally A; Gonzalez F; Feldman M; Ganesan S; Shih N; Tomaszewski J; Gilmore H; Madabhushi A
• A Quantitative Histomorphometric Classifier Identifies Role of Stromal and Epithelial Features in Prediction of Disease Recurrence in p16+Oropharyngeal Squamous Cell Carcinoma
  Volume: 28 Page(s): 319A - 319A
  02/01/2015 Authors: Ali S; Lewis J; Madabhushi A
• Prostate Cancer Recurrence Can Be Predicted By Measuring Cell Graph and Nuclear Shape Parameters in the Benign Cancer-Adjacent Field of Surgical Specimens
  Volume: 28 Page(s): 398A - 399A
  02/01/2015 Authors: Lee G; Veltri R; Ali S; Epstein J; Christudass C; Madabhushi A
• Computerized Nuclear Shape Analysis of Prostate Biopsy Images Predict Favorable Outcome in Active Surveillance Patients
  Volume: 28 Page(s): 398A - 398A
  02/01/2015 Authors: Lee G; Veltri R; Zhu G; Epstein J; Madabhushi A
• AutoStitcherTM: An Automated Program for Accurate Reconstruction of Digitized Whole Histological Sections From Tissue Fragments
  Volume: 28 Page(s): 400A - 401A
  02/01/2015 Authors: Penzias G; Janowczyk A; Singanamalli A; Rusu M; Shih N; Feldman M; Viswanath S; Madabhushi A
• Histology - CT Fusion Facilitates the Characterization of Suspicious Lung Lesions With No, Minimal, and Significant Invasion on CT
  Volume: 28 Page(s): 401A - 401A
  02/01/2015 Authors: Rusu M; Yang M; Rajiah P; Jacono F; Gilkeson R; Linden P; Madabhushi A
• Supervised multi-view canonical correlation analysis (sMVCCA): integrating histologic and proteomic features for predicting recurrent prostate cancer.
  IEEE Trans Med Imaging Volume: 34 Page(s): 284 - 297
  01/01/2015 Authors: Lee G; Singanamalli A; Wang H; Feldman MD; Master SR; Shih NNC; Spangler E; Rebbeck T; Tomaszewski JE; Madabhushi A
• Predicting classifier performance with limited training data: applications to computer-aided diagnosis in breast and prostate cancer.
  PLoS One Volume: 10 Page(s): e0117900
  01/01/2015 Authors: Basavanhally A; Viswanath S; Madabhushi A
• Content-based image retrieval of digitized histopathology in boosted spectrally embedded spaces.
  J Pathol Inform Volume: 6 Page(s): 41
  01/01/2015 Authors: Sridhar A; Doyle S; Madabhushi A
• A Learning Based Fiducial-driven Registration Scheme for Evaluating Laser Ablation Changes in Neurological Disorders.
  Neurocomputing (Amst) Volume: 144 Page(s): 24 - 37
  11/20/2014 Authors: Wan T; Bloch BN; Danish S; Madabhushi A
• A Domain Constrained Deformable (DoCD) Model for Co-registration of Pre- and Post-Radiated Prostate MRI.
  Neurocomputing (Amst) Volume: 114 Page(s): 3 - 12
  11/20/2014 Authors: Toth R; Traughber B; Ellis R; Kurhanewicz J; Madabhushi A
• Identifying Quantitative In Vivo Multi-Parametric MRI Features For Treatment Related Changes after Laser Interstitial Thermal Therapy of Prostate Cancer.
  Neurocomputing (Amst) Volume: 144 Page(s): 13 - 23
  11/20/2014 Authors: Viswanath S; Toth R; Rusu M; Sperling D; Lepor H; Futterer J; Madabhushi A
• COMPUTER EXTRACTED ORIENTED TEXTURE FEATURES ON T1-GADOLINIUM MRI FOR DISTINGUISHING RADIATION NECROSIS FROM RECURRENT BRAIN TUMORS
  Volume: 16
  11/01/2014 Authors: Tiwari P; Prasanna P; Rogers L; Wolansky L; Cohen M; Madabhushi A
• QUANTITATIVE TEXTURE DESCRIPTORS ON BASELINE-MRI CAN PREDICT PATIENT SURVIVAL IN NEWLY DIAGNOSED GLIOBLASTOMA MULTIFORME PATIENTS
  Volume: 16
  11/01/2014 Authors: Tiwari P; Prasanna P; Jiang B; Barnholtz-Sloan J; Sloan A; Ostrom Q; Madabhushi A
• Quantitative identification of magnetic resonance imaging features of prostate cancer response following laser ablation and radical prostatectomy.
  J Med Imaging (Bellingham) Volume: 1 Page(s): 035001
  10/01/2014 Authors: Litjens GJS; Huisman HJ; Elliott RM; Shih NN; Feldman MD; Viswanath S; Ftterer JJ; Bomers JGR; Madabhushi A
• Mitosis detection in breast cancer pathology images by combining handcrafted and convolutional neural network features.
  J Med Imaging (Bellingham) Volume: 1 Page(s): 034003
  10/01/2014 Authors: Wang H; Cruz-Roa A; Basavanhally A; Gilmore H; Shih N; Feldman M; Tomaszewski J; Gonzalez F; Madabhushi A
• NCI Workshop Report: Clinical and Computational Requirements for Correlating Imaging Phenotypes with Genomics Signatures.
  Transl Oncol Volume: 7 Page(s): 556 - 569
  10/01/2014 Authors: Colen R; Foster I; Gatenby R; Giger ME; Gillies R; Gutman D; Heller M; Jain R; Madabhushi A; Madhavan S
• Prostatome: a combined anatomical and disease based MRI atlas of the prostate.
  Med Phys Volume: 41 Page(s): 072301
  07/01/2014 Authors: Rusu M; Bloch BN; Jaffe CC; Genega EM; Lenkinski RE; Rofsky NM; Feleppa E; Madabhushi A
• Computerized image analysis for identifying triple-negative breast cancers and differentiating them from other molecular subtypes of breast cancer on dynamic contrast-enhanced MR images: a feasibility study.
  Radiology Volume: 272 Page(s): 91 - 99
  07/01/2014 Authors: Agner SC; Rosen MA; Englander S; Tomaszewski JE; Feldman MD; Zhang P; Mies C; Schnall MD; Madabhushi A
• Spatio-temporal texture (SpTeT) for distinguishing vulnerable from stable atherosclerotic plaque on dynamic contrast enhancement (DCE) MRI in a rabbit model.
  Med Phys Volume: 41 Page(s): 042303
  04/01/2014 Authors: Wan T; Madabhushi A; Phinikaridou A; Hamilton JA; Hua N; Pham T; Danagoulian J; Kleiman R; Buckler AJ
• Identifying MRI markers to evaluate early treatment related changes post laser ablation for cancer pain management.
  Proc SPIE Int Soc Opt Eng Volume: 9036 Page(s): 90362L
  03/12/2014 Authors: Tiwari P; Danish S; Madabhushi A
• Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge.
  Med Image Anal Volume: 18 Page(s): 359 - 373
  02/01/2014 Authors: Litjens G; Toth R; van de Ven W; Hoeks C; Kerkstra S; van Ginneken B; Vincent G; Guillard G; Birbeck N; Zhang J
• Identifying MRI markers associated with early response following laser ablation for neurological disorders: preliminary findings.
  PLoS One Volume: 9 Page(s): e114293
  01/01/2014 Authors: Tiwari P; Danish S; Madabhushi A
• Co-occurrence of local anisotropic gradient orientations (CoLIAGe): distinguishing tumor confounders and molecular subtypes on MRI.
  Med Image Comput Comput Assist Interv Volume: 17 Page(s): 73 - 80
  01/01/2014 Authors: Prasanna P; Tiwari P; Madabhushi A
• Selecting features with group-sparse nonnegative supervised canonical correlation analysis: multimodal prostate cancer prognosis.
  Med Image Comput Comput Assist Interv Volume: 17 Page(s): 385 - 392
  01/01/2014 Authors: Wang H; Singanamalli A; Ginsburg S; Madabhushi A
• Histostitcher: An informatics software platform for reconstructing whole-mount prostate histology using the extensible imaging platform framework.
  J Pathol Inform Volume: 5 Page(s): 8
  01/01/2014 Authors: Toth RJ; Shih N; Tomaszewski JE; Feldman MD; Kutter O; Yu DN; Paulus JC; Paladini G; Madabhushi A
• Texture Descriptors to distinguish Radiation Necrosis from Recurrent Brain Tumors on multi-parametric MRI.
  Volume: 9035 Page(s): 90352B
  01/01/2014 Authors: Pallavi T; Prateek P; Lisa R; Leo W; Chaitra B; Andrew S; Mark C; Anant M
• A quantitative histomorphometric classifier (QuHbIC) identifies aggressive versus indolent p16-positive oropharyngeal squamous cell carcinoma.
  Am J Surg Pathol Volume: 38 Page(s): 128 - 137
  01/01/2014 Authors: Lewis JS; Ali S; Luo J; Thorstad WL; Madabhushi A
• Structural And Functional Modeling Of Pulmonary Function In Heterogenous Lung Pathology
  Volume: 189
  01/01/2014 Authors: Odgers T; Massa C; Rusu M; Wang H; Madabhushi A; Gow A
• Co-occurring gland angularity in localized subgraphs: predicting biochemical recurrence in intermediate-risk prostate cancer patients.
  PLoS One Volume: 9 Page(s): e97954
  01/01/2014 Authors: Lee G; Sparks R; Ali S; Shih NNC; Feldman MD; Spangler E; Rebbeck T; Tomaszewski JE; Madabhushi A
• Computer derived image features on DCE-MRI appear to distinguish estrogen receptor-positive breast cancers with low and high oncotype DX recurrence scores
  Volume: 73
  12/15/2013 Authors: Madabhushi A; Wan T; Bloch B; Plecha D; Thompson C; Gilmore H; Avril N; Jaffe C; Harris L
• Computer extracted image measurements of nuclear shape and texture from H&E images appear to stratify low and high risk ER plus breast cancers assessed via oncotype DX
  Volume: 73
  12/15/2013 Authors: Madabhushi A; Doyle S; Basavanhally A; Gilmore H; Harris L; Shih N; Mies C; Feldman M; Tomaszewski J; Ganesan S
• Computer extracted image texture features on T2-weighted MRI appear to correlate with nuclear morphologic descriptors from H&E-stained histopathology in estrogen receptor positive breast cancers
  Volume: 73
  12/15/2013 Authors: Madabhushi A; Basavanhally AN; Doyle S; Wan T; Singanamalli A; Thompson C; Gilmore H; Plecha D; Harris L
• Explicit shape descriptors: novel morphologic features for histopathology classification.
  Med Image Anal Volume: 17 Page(s): 997 - 1009
  12/01/2013 Authors: Sparks R; Madabhushi A
• COMPUTERIZED IMAGE ANALYSIS OF TEXTURE DESCRIPTORS IN MULTI-PARAMETRIC MRI TO DISTINGUISH RECURRENT GLIOBLASTOMA MULTIFORME FROM RADIATION NECROSIS
  Volume: 15 Page(s): 203 - 203
  11/01/2013 Authors: Tiwari P; Rogers L; Wolansky L; Sloan A; Barnholtz-Sloan J; Tatsauka C; Cohen M; Madabhushi A
• Simultaneous Segmentation of Prostatic Zones Using Active Appearance Models With Multiple Coupled Levelsets.
  Comput Vis Image Underst Volume: 117 Page(s): 1051 - 1060
  09/01/2013 Authors: Toth R; Ribault J; Gentile J; Sperling D; Madabhushi A
• Statistical Shape Model for Manifold Regularization: Gleason grading of prostate histology.
  Comput Vis Image Underst Volume: 117 Page(s): 1138 - 1146
  09/01/2013 Authors: Sparks R; Madabhushi A
• Multi-field-of-view framework for distinguishing tumor grade in ER+ breast cancer from entire histopathology slides.
  IEEE Trans Biomed Eng Volume: 60 Page(s): 2089 - 2099
  08/01/2013 Authors: Basavanhally A; Ganesan S; Feldman M; Shih N; Mies C; Tomaszewski J; Madabhushi A
• Non-invasive theranostic to predict and assess response to atherosclerotic drugs
  Volume: 27
  04/01/2013 Authors: Buckler AJ; Hamilton JA; Madabhushi A; Keith JC
• Quantitative Evaluation of Treatment Related Changes on Multi-Parametric MRI after Laser Interstitial Thermal Therapy of Prostate Cancer.
  Proc SPIE Int Soc Opt Eng Volume: 8671 Page(s): 86711F
  03/15/2013 Authors: Viswanath S; Toth R; Rusu M; Sperling D; Lepor H; Futterer J; Madabhushi A
• Quantitative evaluation of multi-parametric MR imaging marker changes post-laser interstitial ablation therapy (LITT) for epilepsy.
  Proc SPIE Int Soc Opt Eng Volume: 8671 Page(s): 86711Y
  03/14/2013 Authors: Tiwari P; Danish S; Wong S; Madabhushi A
• Statistical 3D Prostate Imaging Atlas Construction via Anatomically Constrained Registration.
  Proc SPIE Int Soc Opt Eng Volume: 8669
  03/13/2013 Authors: Rusu M; Bloch BN; Jaffe CC; Rofsky NM; Genega EM; Feleppa E; Lenkinski RE; Madabhushi A
• Fully Automated Prostate Magnetic Resonance Imaging and Transrectal Ultrasound Fusion via a Probabilistic Registration Metric.
  Proc SPIE Int Soc Opt Eng Volume: 8671 Page(s): 86710A-
  03/08/2013 Authors: Sparks R; Bloch BN; Feleppa E; Barratt D; Madabhushi A
• Spectral embedding based active contour (SEAC) for lesion segmentation on breast dynamic contrast enhanced magnetic resonance imaging.
  Med Phys Volume: 40 Page(s): 032305
  03/01/2013 Authors: Agner SC; Xu J; Madabhushi A
• A Quantitative Histomorphometric Classifier Identifies Aggressive Versus Indolent p16 Positive Oropharyngeal Squamous Cell Carcinoma
  Volume: 26 Page(s): 309A - 309A
  02/01/2013 Authors: Lewis JS; Ali S; Thorstad WL; Madabhushi A
• A Quantitative Histomorphometric Classifier Identifies Aggressive Versus Indolent p16 Positive Oropharyngeal Squamous Cell Carcinoma
  Volume: 93 Page(s): 309A - 309A
  02/01/2013 Authors: Lewis JS; Ali S; Thorstad WL; Madabhushi A
• Multi-kernel graph embedding for detection, Gleason grading of prostate cancer via MRI/MRS.
  Med Image Anal Volume: 17 Page(s): 219 - 235
  02/01/2013 Authors: Tiwari P; Kurhanewicz J; Madabhushi A
• Digital imaging in pathology: whole-slide imaging and beyond.
  Annu Rev Pathol Volume: 8 Page(s): 331 - 359
  01/24/2013 Authors: Ghaznavi F; Evans A; Madabhushi A; Feldman M
• Variable importance in nonlinear kernels (VINK): classification of digitized histopathology.
  Med Image Comput Comput Assist Interv Volume: 16 Page(s): 238 - 245
  01/01/2013 Authors: Ginsburg S; Ali S; Lee G; Basavanhally A; Madabhushi A
• Cell orientation entropy (COrE): predicting biochemical recurrence from prostate cancer tissue microarrays.
  Med Image Comput Comput Assist Interv Volume: 16 Page(s): 396 - 403
  01/01/2013 Authors: Lee G; Ali S; Veltri R; Epstein JI; Christudass C; Madabhushi A
• A deep learning architecture for image representation, visual interpretability and automated basal-cell carcinoma cancer detection.
  Med Image Comput Comput Assist Interv Volume: 16 Page(s): 403 - 410
  01/01/2013 Authors: Cruz-Roa AA; Arevalo Ovalle JE; Madabhushi A; Gonzlez Osorio FA
• Spatially aware cell cluster(spACC1) graphs: predicting outcome in oropharyngeal pl6+ tumors.
  Med Image Comput Comput Assist Interv Volume: 16 Page(s): 412 - 419
  01/01/2013 Authors: Ali S; Lewis J; Madabhushi A
• Anisotropic smoothing regularization (AnSR) in Thirion's Demons registration evaluates brain MRI tissue changes post-laser ablation.
  Annu Int Conf IEEE Eng Med Biol Soc Volume: 2013 Page(s): 4006 - 4009
  01/01/2013 Authors: Hwuang E; Danish S; Rusu M; Sparks R; Toth R; Madabhushi A
• Quantifying local heterogeneity via morphologic scale: Distinguishing tumoral from stromal regions.
  J Pathol Inform Volume: 4 Page(s): S8
  01/01/2013 Authors: Janowczyk A; Chandran S; Madabhushi A
• Medical Imaging 2013 Digital Pathology
  Volume: 8676
  01/01/2013 Authors: Gurcan M; Madabhushi A
• Class-specific weighting for Markov random field estimation: application to medical image segmentation.
  Med Image Anal Volume: 16 Page(s): 1477 - 1489
  12/01/2012 Authors: Monaco JP; Madabhushi A
• Cascaded discrimination of normal, abnormal, and confounder classes in histopathology: Gleason grading of prostate cancer.
  BMC Bioinformatics Volume: 13 Page(s): 282
  10/30/2012 Authors: Doyle S; Feldman MD; Shih N; Tomaszewski J; Madabhushi A
• Use of quantitative histomorphometrics to classify disease progression in HPV-positive squamous cell carcinoma
  Volume: 30
  10/20/2012 Authors: Ali S; Lewis JS; Madabhushi A
• Multifeature landmark-free active appearance models: application to prostate MRI segmentation.
  IEEE Trans Med Imaging Volume: 31 Page(s): 1638 - 1650
  08/01/2012 Authors: Toth R; Madabhushi A
• An integrated region-, boundary-, shape-based active contour for multiple object overlap resolution in histological imagery.
  IEEE Trans Med Imaging Volume: 31 Page(s): 1448 - 1460
  07/01/2012 Authors: Ali S; Madabhushi A
• Central gland and peripheral zone prostate tumors have significantly different quantitative imaging signatures on 3 Tesla endorectal, in vivo T2-weighted MR imagery.
  J Magn Reson Imaging Volume: 36 Page(s): 213 - 224
  07/01/2012 Authors: Viswanath SE; Bloch NB; Chappelow JC; Toth R; Rofsky NM; Genega EM; Lenkinski RE; Madabhushi A
• High-throughput biomarker segmentation on ovarian cancer tissue microarrays via hierarchical normalized cuts.
  IEEE Trans Biomed Eng Volume: 59 Page(s): 1240 - 1252
  05/01/2012 Authors: Janowczyk A; Chandran S; Singh R; Sasaroli D; Coukos G; Feldman MD; Madabhushi A
• A boosted Bayesian multiresolution classifier for prostate cancer detection from digitized needle biopsies.
  IEEE Trans Biomed Eng Volume: 59 Page(s): 1205 - 1218
  05/01/2012 Authors: Doyle S; Feldman M; Tomaszewski J; Madabhushi A
• Concurrent segmentation of the prostate on MRI and CT via linked statistical shape models for radiotherapy planning.
  Med Phys Volume: 39 Page(s): 2214 - 2228
  04/01/2012 Authors: Chowdhury N; Toth R; Chappelow J; Kim S; Motwani S; Punekar S; Lin H; Both S; Vapiwala N; Hahn S
• Multimodal wavelet embedding representation for data combination (MaWERiC): integrating magnetic resonance imaging and spectroscopy for prostate cancer detection.
  NMR Biomed Volume: 25 Page(s): 607 - 619
  04/01/2012 Authors: Tiwari P; Viswanath S; Kurhanewicz J; Sridhar A; Madabhushi A
• Consensus embedding: theory, algorithms and application to segmentation and classification of biomedical data.
  BMC Bioinformatics Volume: 13 Page(s): 26
  02/08/2012 Authors: Viswanath S; Madabhushi A
• Alpha-Hemoglobin Stabilizing Protein Specifically Identifies Nucleated Erythroid Precursors and Enables Identification of Architectural Distortion in Myelodysplastic Syndromes by Computerized Image Analysis
  Volume: 92 Page(s): 363A - 363A
  02/01/2012 Authors: Raess PW; Monaco J; Chawla R; Paessler M; Bagg A; Weiss MJ; Madabhushi A; Choi JK
• Alpha-Hemoglobin Stabilizing Protein Specifically Identifies Nucleated Erythroid Precursors and Enables Identification of Architectural Distortion in Myelodysplastic Syndromes by Computerized Image Analysis
  Volume: 25 Page(s): 363A - 363A
  02/01/2012 Authors: Raess PW; Monaco J; Chawla R; Paessler M; Bagg A; Weiss MJ; Madabhushi A; Choi JK
• Integration of Architectural and Cytologic Driven Image Algorithms for Prostate Adenocarcinoma Identification
  Volume: 92 Page(s): 213A - 214A
  02/01/2012 Authors: Hipp JD; Monaco J; Kunju PL; Cheng J; Yagi Y; Rodriguez-Canales J; Emmert-Buck MR; Hewitt S; Feldman MD; Tomaszewski JE
• Integration of Architectural and Cytologic Driven Image Algorithms for Prostate Adenocarcinoma Identification
  Volume: 25 Page(s): 213A - 214A
  02/01/2012 Authors: Hipp JD; Monaco J; Kunju PL; Cheng J; Yagi Y; Rodriguez-Canales J; Emmert-Buck MR; Hewitt S; Feldman MD; Tomaszewski JE
• A visual latent semantic approach for automatic analysis and interpretation of anaplastic medulloblastoma virtual slides.
  Med Image Comput Comput Assist Interv Volume: 15 Page(s): 157 - 164
  01/01/2012 Authors: Cruz-Roa A; Gonzlez F; Galaro J; Judkins AR; Ellison D; Baccon J; Madabhushi A; Romero E
• Image segmentation with implicit color standardization using spatially constrained expectation maximization: detection of nuclei.
  Med Image Comput Comput Assist Interv Volume: 15 Page(s): 365 - 372
  01/01/2012 Authors: Monaco J; Hipp J; Lucas D; Smith S; Balis U; Madabhushi A
• Editorial: TBME Letters special section on multiscale biomedical signal and image modeling and analysis.
  IEEE Trans Biomed Eng Volume: 59 Page(s): 4 - 7
  01/01/2012 Authors: Cerutti S; Madabhushi A; Shah SK; Chon KH
• Optimization of complex cancer morphology detection using the SIVQ pattern recognition algorithm.
  Anal Cell Pathol (Amst) Volume: 35 Page(s): 41 - 50
  01/01/2012 Authors: Hipp J; Smith SC; Cheng J; Tomlins SA; Monaco J; Madabhushi A; Kunju LP; Balis UJ
• Automated computer-derived prostate volumes from MR imaging data: comparison with radiologist-derived MR imaging and pathologic specimen volumes.
  Radiology Volume: 262 Page(s): 144 - 151
  01/01/2012 Authors: Bulman JC; Toth R; Patel AD; Bloch BN; McMahon CJ; Ngo L; Madabhushi A; Rofsky NM
• Integration of architectural and cytologic driven image algorithms for prostate adenocarcinoma identification.
  Anal Cell Pathol (Amst) Volume: 35 Page(s): 251 - 265
  01/01/2012 Authors: Hipp J; Monaco J; Kunju LP; Cheng J; Yagi Y; Rodriguez-Canales J; Emmert-Buck MR; Hewitt S; Feldman MD; Tomaszewski JE
• Supervised regularized canonical correlation analysis: integrating histologic and proteomic measurements for predicting biochemical recurrence following prostate surgery.
  BMC Bioinformatics Volume: 12 Page(s): 483
  12/19/2011 Authors: Golugula A; Lee G; Master SR; Feldman MD; Tomaszewski JE; Speicher DW; Madabhushi A
• A high-throughput active contour scheme for segmentation of histopathological imagery.
  Med Image Anal Volume: 15 Page(s): 851 - 862
  12/01/2011 Authors: Xu J; Janowczyk A; Chandran S; Madabhushi A
• An active learning based classification strategy for the minority class problem: application to histopathology annotation.
  BMC Bioinformatics Volume: 12 Page(s): 424
  10/28/2011 Authors: Doyle S; Monaco J; Feldman M; Tomaszewski J; Madabhushi A
• Weighted maximum posterior marginals for random fields using an ensemble of conditional densities from multiple Markov chain Monte Carlo simulations.
  IEEE Trans Med Imaging Volume: 30 Page(s): 1353 - 1364
  07/01/2011 Authors: Monaco JP; Madabhushi A
• Accurate prostate volume estimation using multifeature active shape models on T2-weighted MRI.
  Acad Radiol Volume: 18 Page(s): 745 - 754
  06/01/2011 Authors: Toth R; Bloch BN; Genega EM; Rofsky NM; Lenkinski RE; Rosen MA; Kalyanpur A; Pungavkar S; Madabhushi A
• Textural kinetics: a novel dynamic contrast-enhanced (DCE)-MRI feature for breast lesion classification.
  J Digit Imaging Volume: 24 Page(s): 446 - 463
  06/01/2011 Authors: Agner SC; Soman S; Libfeld E; McDonald M; Thomas K; Englander S; Rosen MA; Chin D; Nosher J; Madabhushi A
• Elastic registration of multimodal prostate MRI and histology via multiattribute combined mutual information.
  Med Phys Volume: 38 Page(s): 2005 - 2018
  04/01/2011 Authors: Chappelow J; Bloch BN; Rofsky N; Genega E; Lenkinski R; DeWolf W; Madabhushi A
• A magnetic resonance spectroscopy driven initialization scheme for active shape model based prostate segmentation.
  Med Image Anal Volume: 15 Page(s): 214 - 225
  04/01/2011 Authors: Toth R; Tiwari P; Rosen M; Reed G; Kurhanewicz J; Kalyanpur A; Pungavkar S; Madabhushi A
• Enhanced Multi-Protocol Analysis via Intelligent Supervised Embedding (EMPrAvISE): Detecting Prostate Cancer on Multi-Parametric MRI.
  Proc SPIE Int Soc Opt Eng Volume: 7963 Page(s): 79630U
  03/04/2011 Authors: Viswanath S; Bloch BN; Chappelow J; Patel P; Rofsky N; Lenkinski R; Genega E; Madabhushi A
• CADOnc: An Integrated Toolkit For Evaluating Radiation Therapy Related Changes In The Prostate Using Multiparametric MRI.
  Proc IEEE Int Symp Biomed Imaging Volume: 2011 Page(s): 2095 - 2098
  03/01/2011 Authors: Viswanath S; Tiwari P; Chappelow J; Toth R; Kurhanewicz J; Madabhushi A
• High-Throughput Prostate Cancer Gland Segmentation and Classification from Digitized Needle Core Biopsies.
  Volume: 24 Page(s): 400A - 400A
  02/01/2011 Authors: Xu J; Sparks R; Janowcyzk A; Tomaszewski JE; Madabhushi A
• Quantifying Tumor Infiltrating Lymphocytes in Ovarian Cancer TMAS
  Volume: 24 Page(s): 340A - 340A
  02/01/2011 Authors: Janowczyk A; Chandran S; Feldman M; Madabhushi A
• Automated Tumor Volume Estimation Using Digitized Prostatectomy Specimens.
  Volume: 91 Page(s): 211A - 212A
  02/01/2011 Authors: Monaco JP; Tomaszewski JE; Madabhushi A
• Quantifying Tumor Infiltrating Lymphocytes in Ovarian Cancer TMAS
  Volume: 91 Page(s): 340A - 340A
  02/01/2011 Authors: Janowczyk A; Chandran S; Feldman M; Madabhushi A
• Fusion of Proteomic and Histologic Image Features for Predicting Prostate Cancer Recurrence after Radical Prostatectomy
  Volume: 91 Page(s): 340A - 340A
  02/01/2011 Authors: Lee G; Doyle S; Monaco J; Feldman M; Tomaszewski JE; Master SR; Madabhushi A
• A Content-Based Image Retrieval System for Digitized Prostate Histopathology
  Volume: 91 Page(s): 342A - 343A
  02/01/2011 Authors: Sridhar A; Doyle S; Madabhushi A
• High-Throughput Prostate Cancer Gland Segmentation and Classification from Digitized Needle Core Biopsies
  Volume: 91 Page(s): 400A - 400A
  02/01/2011 Authors: Xu J; Sparks R; Janowcyzk A; Tomaszewski JE; Madabhushi A
• Fusion of Proteomic and Histologic Image Features for Predicting Prostate Cancer Recurrence after Radical Prostatectomy
  Volume: 24 Page(s): 340A - 340A
  02/01/2011 Authors: Lee G; Doyle S; Monaco J; Feldman M; Tomaszewski JE; Master SR; Madabhushi A
• A Content-Based Image Retrieval System for Digitized Prostate Histopathology.
  Volume: 24 Page(s): 342A - 343A
  02/01/2011 Authors: Sridhar A; Doyle S; Madabhushi A
• AutomatedTumor Volume Estimation Using Digitized Prostatectomy Specimens
  Volume: 24 Page(s): 211A - 212A
  02/01/2011 Authors: Monaco JP; Tomaszewski JE; Madabhushi A
• Histologic Image-Based Classifier for Predicting Outcome of ER plus Breast Cancers.
  Volume: 24 Page(s): 27A - 27A
  02/01/2011 Authors: Basavanhally AN; Ganesan S; Feldman M; Tomaszewski J; Madabhushi A
• SIVQ Image Analysis: A High-Throughput Morphology Discovery Tool for Surgical Pathologists
  Volume: 91 Page(s): 449A - 449A
  02/01/2011 Authors: Hipp J; Cheng J; Hanson J; Yan W; Rodriguez-Canales J; Hipp J; Tangrea M; Emmert-Buck MR; Han S; Hewitt S
• SIVQ Image Analysis: A High-Throughput Morphology Discovery Tool for Surgical Pathologists
  Volume: 24 Page(s): 449A - 449A
  02/01/2011 Authors: Hipp J; Cheng J; Hanson J; Yan W; Rodriguez-Canales J; Tangrea M; Emmert-Buck MR; Han S; Hewitt S; Monaco J
• Histologic Image-Based Classifier for Predicting Outcome of ER plus Breast Cancers
  Volume: 91 Page(s): 27A - 27A
  02/01/2011 Authors: Basavanhally AN; Ganesan S; Feldman M; Tomaszewski J; Madabhushi A
• Detection of prostate cancer on histopathology using color fractals and Probabilistic Pairwise Markov models.
  Annu Int Conf IEEE Eng Med Biol Soc Volume: 2011 Page(s): 3427 - 3430
  01/01/2011 Authors: Yu E; Monaco JP; Tomaszewski J; Shih N; Feldman M; Madabhushi A
• An integrated texton and bag of words classifier for identifying anaplastic medulloblastomas.
  Annu Int Conf IEEE Eng Med Biol Soc Volume: 2011 Page(s): 3443 - 3446
  01/01/2011 Authors: Galaro J; Judkins AR; Ellison D; Baccon J; Madabhushi A
• Interplay between bias field correction, intensity standardization, and noise filtering for T2-weighted MRI.
  Annu Int Conf IEEE Eng Med Biol Soc Volume: 2011 Page(s): 5080 - 5083
  01/01/2011 Authors: Palumbo D; Yee B; O'Dea P; Leedy S; Viswanath S; Madabhushi A
• Spatially weighted mutual information (SWMI) for registration of digitally reconstructed ex vivo whole mount histology and in vivo prostate MRI.
  Annu Int Conf IEEE Eng Med Biol Soc Volume: 2011 Page(s): 6269 - 6272
  01/01/2011 Authors: Patel P; Chappelow J; Tomaszewski J; Feldman MD; Rosen M; Shih N; Madabhushi A
• Automated vector selection of SIVQ and parallel computing integration MATLAB: Innovations supporting large-scale and high-throughput image analysis studies.
  J Pathol Inform Volume: 2 Page(s): 37
  01/01/2011 Authors: Cheng J; Hipp J; Monaco J; Lucas DR; Madabhushi A; Balis UJ
• MULTI-MODAL DATA FUSION SCHEMES FOR INTEGRATED CLASSIFICATION OF IMAGING AND NON-IMAGING BIOMEDICAL DATA.
  Proc IEEE Int Symp Biomed Imaging Volume: 2011 Page(s): 165 - 168
  01/01/2011 Authors: Tiwari P; Viswanath S; Lee G; Madabhushi A
• Computer-aided prognosis: predicting patient and disease outcome via quantitative fusion of multi-scale, multi-modal data.
  Comput Med Imaging Graph Volume: 35 Page(s): 506 - 514
  01/01/2011 Authors: Madabhushi A; Agner S; Basavanhally A; Doyle S; Lee G
• Evaluating feature selection strategies for high dimensional, small sample size datasets.
  Annu Int Conf IEEE Eng Med Biol Soc Volume: 2011 Page(s): 949 - 952
  01/01/2011 Authors: Golugula A; Lee G; Madabhushi A
• Adaptive energy selective active contour with shape priors for nuclear segmentation and gleason grading of prostate cancer.
  Med Image Comput Comput Assist Interv Volume: 14 Page(s): 661 - 669
  01/01/2011 Authors: Ali S; Veltri R; Epstein JI; Christudass C; Madabhushi A
• Aggregated distance metric learning (ADM) for image classification in presence of limited training data.
  Med Image Comput Comput Assist Interv Volume: 14 Page(s): 33 - 40
  01/01/2011 Authors: Xiao G; Madabhushi A
• Supervised regularized canonical correlation analysis: integrating histologic and proteomic data for predicting biochemical failures.
  Annu Int Conf IEEE Eng Med Biol Soc Volume: 2011 Page(s): 6434 - 6437
  01/01/2011 Authors: Golugula A; Lee G; Master SR; Feldman MD; Tomaszewski JE; Madabhushi A
• Computer aided diagnostic tools aim to empower rather than replace pathologists: Lessons learned from computational chess.
  J Pathol Inform Volume: 2 Page(s): 25
  01/01/2011 Authors: Hipp J; Flotte T; Monaco J; Cheng J; Madabhushi A; Yagi Y; Rodriguez-Canales J; Emmert-Buck M; Dugan MC; Hewitt S
• Image microarrays (IMA): Digital pathology's missing tool.
  J Pathol Inform Volume: 2 Page(s): 47
  01/01/2011 Authors: Hipp J; Cheng J; Pantanowitz L; Hewitt S; Yagi Y; Monaco J; Madabhushi A; Rodriguez-Canales J; Hanson J; Roy-Chowdhuri S
• The need for the pathology community to sponsor a whole slide imaging repository with technical guidance from the pathology informatics community.
  J Pathol Inform Volume: 2 Page(s): 31
  01/01/2011 Authors: Hipp JD; Sica J; McKenna B; Monaco J; Madabhushi A; Cheng J; Balis UJ
• HistoStitcher(): an interactive program for accurate and rapid reconstruction of digitized whole histological sections from tissue fragments.
  Comput Med Imaging Graph Volume: 35 Page(s): 557 - 567
  01/01/2011 Authors: Chappelow J; Tomaszewski JE; Feldman M; Shih N; Madabhushi A
• Determining histology-MRI slice correspondences for defining MRI-based disease signatures of prostate cancer.
  Comput Med Imaging Graph Volume: 35 Page(s): 568 - 578
  01/01/2011 Authors: Xiao G; Bloch BN; Chappelow J; Genega EM; Rofsky NM; Lenkinski RE; Tomaszewski J; Feldman MD; Rosen M; Madabhushi A
• Multi-field-of-view strategy for image-based outcome prediction of multi-parametric estrogen receptor-positive breast cancer histopathology: Comparison to Oncotype DX.
  J Pathol Inform Volume: 2 Page(s): S1
  01/01/2011 Authors: Basavanhally A; Feldman M; Shih N; Mies C; Tomaszewski J; Ganesan S; Madabhushi A
• Graphical processing unit implementation of an integrated shape-based active contour: Application to digital pathology.
  J Pathol Inform Volume: 2 Page(s): S13
  01/01/2011 Authors: Ali S; Madabhushi A
• High-throughput detection of prostate cancer in histological sections using probabilistic pairwise Markov models.
  Med Image Anal Volume: 14 Page(s): 617 - 629
  08/01/2010 Authors: Monaco JP; Tomaszewski JE; Feldman MD; Hagemann I; Moradi M; Mousavi P; Boag A; Davidson C; Abolmaesumi P; Madabhushi A
• Expectation-maximization-driven geodesic active contour with overlap resolution (EMaGACOR): application to lymphocyte segmentation on breast cancer histopathology.
  IEEE Trans Biomed Eng Volume: 57 Page(s): 1676 - 1689
  07/01/2010 Authors: Fatakdawala H; Xu J; Basavanhally A; Bhanot G; Ganesan S; Feldman M; Tomaszewski JE; Madabhushi A
• Integrated diagnostics: a conceptual framework with examples.
  Clin Chem Lab Med Volume: 48 Page(s): 989 - 998
  07/01/2010 Authors: Madabhushi A; Doyle S; Lee G; Basavanhally A; Monaco J; Masters S; Tomaszewski J; Feldman M
• Identification of a microRNA panel for clear-cell kidney cancer.
  Urology Volume: 75 Page(s): 835 - 841
  04/01/2010 Authors: Juan D; Alexe G; Antes T; Liu H; Madabhushi A; Delisi C; Ganesan S; Bhanot G; Liou LS
• Computerized image-based detection and grading of lymphocytic infiltration in HER2+ breast cancer histopathology.
  IEEE Trans Biomed Eng Volume: 57 Page(s): 642 - 653
  03/01/2010 Authors: Basavanhally AN; Ganesan S; Agner S; Monaco JP; Feldman MD; Tomaszewski JE; Bhanot G; Madabhushi A
• Semi supervised multi kernel (SeSMiK) graph embedding: identifying aggressive prostate cancer via magnetic resonance imaging and spectroscopy.
  Med Image Comput Comput Assist Interv Volume: 13 Page(s): 666 - 673
  01/01/2010 Authors: Tiwari P; Kurhanewicz J; Rosen M; Madabhushi A
• Novel morphometric based classification via diffeomorphic based shape representation using manifold learning.
  Med Image Comput Comput Assist Interv Volume: 13 Page(s): 658 - 665
  01/01/2010 Authors: Sparks R; Madabhushi A
• Markov random field driven region-based active contour model (MaRACel): application to medical image segmentation.
  Med Image Comput Comput Assist Interv Volume: 13 Page(s): 197 - 204
  01/01/2010 Authors: Xu J; Monaco JP; Madabhushi A
• Computerized Histologic Image-Based Risk Score (IbRiS) Classifier for ER plus Breast Cancer
  Volume: 69 Page(s): 661S - 661S
  12/15/2009 Authors: Ganesan S; Madabhushi A; Basavanhally A; Xu J; Bhanot G; Barnard N; Toppmeyer D
• Concomitant abdominal aortic aneurysm and rectal cancer: a treatment dilemma.
  Tech Coloproctol Volume: 13 Page(s): 327 - 328
  12/01/2009 Authors: Madabhushi A; Gusberg RJ
• A hierarchical spectral clustering and nonlinear dimensionality reduction scheme for detection of prostate cancer from magnetic resonance spectroscopy (MRS).
  Med Phys Volume: 36 Page(s): 3927 - 3939
  09/01/2009 Authors: Tiwari P; Rosen M; Madabhushi A
• Towards improved cancer diagnosis and prognosis using analysis of gene expression data and computer aided imaging.
  Exp Biol Med (Maywood) Volume: 234 Page(s): 860 - 879
  08/01/2009 Authors: Lexe G; Monaco J; Doyle S; Basavanhally A; Reddy A; Seiler M; Ganesan S; Bhanot G; Madabhushi A
• Integrating Structural and Functional Imaging for Computer Assisted Detection of Prostate Cancer on Multi-Protocol In Vivo 3 Tesla MRI.
  Proc SPIE Int Soc Opt Eng Volume: 7260 Page(s): 72603I
  02/27/2009 Authors: Viswanath S; Bloch BN; Rosen M; Chappelow J; Toth R; Rofsky N; Lenkinski R; Genega E; Kalyanpur A; Madabhushi A
• Digital pathology image analysis: opportunities and challenges.
  Imaging Med Volume: 1 Page(s): 7 - 10
  01/01/2009 Authors: Madabhushi A
• Histopathological image analysis: a review.
  IEEE Rev Biomed Eng Volume: 2 Page(s): 147 - 171
  01/01/2009 Authors: Gurcan MN; Boucheron LE; Can A; Madabhushi A; Rajpoot NM; Yener B
• Spectral embedding based probabilistic boosting tree (ScEPTre): classifying high dimensional heterogeneous biomedical data.
  Med Image Comput Comput Assist Interv Volume: 12 Page(s): 844 - 851
  01/01/2009 Authors: Tiwari P; Rosen M; Reed G; Kurhanewicz J; Madabhushi A
• Hierarchical normalized cuts: unsupervised segmentation of vascular biomarkers from ovarian cancer tissue microarrays.
  Med Image Comput Comput Assist Interv Volume: 12 Page(s): 230 - 238
  01/01/2009 Authors: Janowczyk A; Chandran S; Singh R; Sasaroli D; Coukos G; Feldman MD; Madabhushi A
• Microrna expression profile in clear-cell kidney cancer
  Volume: 179 Page(s): 92 - 92
  04/01/2008 Authors: Juan D; Alexe G; Antes T; Foran D; Madabhushi A; Bhanot G; Delisi C; Ganesan S; Liou L
• Image filtering via generalized scale.
  Med Image Anal Volume: 12 Page(s): 87 - 98
  04/01/2008 Authors: Souza A; Udupa JK; Madabhushi A
• Multi-attribute non-initializing texture reconstruction based active shape model (MANTRA).
  Med Image Comput Comput Assist Interv Volume: 11 Page(s): 653 - 661
  01/01/2008 Authors: Toth R; Chappelow J; Rosen M; Pungavkar S; Kalyanpur A; Madabhushi A
• A comprehensive segmentation, registration, and cancer detection scheme on 3 Tesla in vivo prostate DCE-MRI.
  Med Image Comput Comput Assist Interv Volume: 11 Page(s): 662 - 669
  01/01/2008 Authors: Viswanath S; Bloch BN; Genega E; Rofsky N; Lenkinski R; Chappelow J; Toth R; Madabhushi A
• Consensus-locally linear embedding (C-LLE): application to prostate cancer detection on magnetic resonance spectroscopy.
  Med Image Comput Comput Assist Interv Volume: 11 Page(s): 330 - 338
  01/01/2008 Authors: Tiwari P; Rosen M; Madabhushi A
• Investigating the efficacy of nonlinear dimensionality reduction schemes in classifying gene and protein expression studies.
  IEEE/ACM Trans Comput Biol Bioinform Volume: 5 Page(s): 368 - 384
  01/01/2008 Authors: Lee G; Rodriguez C; Madabhushi A
• Tissue mechanics during acupuncture and manual therapies
  Volume: 21 Page(s): A84 - A84
  04/01/2007 Authors: Shreiber DI; Julias M; Seneres AW; Madabhushi A; Buettner HM
• A hierarchical unsupervised spectral clustering scheme for detection of prostate cancer from magnetic resonance spectroscopy (MRS).
  Volume: 10 Page(s): 278 - 286
  01/01/2007 Authors: Tiwari P; Madabhushi A; Rosen M
• Comparing MR image intensity standardization against tissue characterizability of magnetization transfer ratio imaging.
  J Magn Reson Imaging Volume: 24 Page(s): 667 - 675
  09/01/2006 Authors: Madabhushi A; Udupa JK; Moonis G
• New methods of MR image intensity standardization via generalized scale.
  Med Phys Volume: 33 Page(s): 3426 - 3434
  09/01/2006 Authors: Madabhushi A; Udupa JK
• Distinguishing lesions from posterior acoustic shadowing in breast ultrasound via non-linear dimensionality reduction.
  Conf Proc IEEE Eng Med Biol Soc Volume: 2006 Page(s): 3070 - 3073
  01/01/2006 Authors: Madabhushi A; Yang P; Rosen M; Weinstein S
• Detecting prostatic adenocarcinoma from digitized histology using a multi-scale hierarchical classification approach.
  Conf Proc IEEE Eng Med Biol Soc Volume: 2006 Page(s): 4759 - 4762
  01/01/2006 Authors: Doyle S; Rodriguez C; Madabhushi A; Tomaszeweski J; Feldman M
• Distinguishing, lesions from posterior acoustic shadowing in breast ultrasound via non-linear dimensionality reduction
  Page(s): 5562 - +
  01/01/2006 Authors: Madabhushi A; Yang P; Rosen M; Weinstein S
• Detecting prostatic adenocarcinoma from digitized histology using a multi-scale hierarchical classification approach
  Page(s): 5558 - +
  01/01/2006 Authors: Doyle S; Rodriguez C; Madabhushi A; Tomaszeweski J; Feldman M
• A boosting cascade for automated detection of prostate cancer from digitized histology.
  Volume: 9 Page(s): 504 - 511
  01/01/2006 Authors: Doyle S; Madabhushi A; Feldman M; Tomaszeweski J
• Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI.
  IEEE Trans Med Imaging Volume: 24 Page(s): 1611 - 1625
  12/01/2005 Authors: Madabhushi A; Feldman MD; Metaxas DN; Tomaszeweski J; Chute D
• Interplay between intensity standardization and inhomogeneity correction in MR image processing.
  IEEE Trans Med Imaging Volume: 24 Page(s): 561 - 576
  05/01/2005 Authors: Madabhushi A; Udupa JK
• Graph embedding to improve supervised classification and novel class detection: application to prostate cancer.
  Med Image Comput Comput Assist Interv Volume: 8 Page(s): 729 - 737
  01/01/2005 Authors: Madabhushi A; Shi J; Rosen M; Tomaszeweski JE; Feldman MD
• Combining low-, high-level and empirical domain knowledge for automated segmentation of ultrasonic breast lesions.
  IEEE Trans Med Imaging Volume: 22 Page(s): 155 - 169
  02/01/2003 Authors: Madabhushi A; Metaxas DN
• MRI microscopy of ex vivo prostate specimens: Radiologic and pathologic correlations
  Volume: 83 Page(s): 149A - 149A
  01/01/2003 Authors: Feldman M; Chute D; Schnall M; Madabhushi A; Metaxas D; Connick T; Tomaszewski J
• MRI microscopy of ex vivo prostate specimens: Radiologic and pathologic correlations
  Volume: 16 Page(s): 149A - 149A
  01/01/2003 Authors: Feldman M; Chute D; Schnall M; Madabhushi A; Metaxas D; Connick T; Tomaszewski J