Publications

• 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
• Identifying and improving the "ground truth" of race in disparities research through improved EMR data reporting. A systematic review.
  Int J Med Inform Volume: 182 Page(s): 105303
  02/01/2024 Authors: Owosela BO; Steinberg RS; Leslie SL; Celi LA; Purkayastha S; Shiradkar R; Newsome JM; Gichoya JW
• "Shortcuts" Causing Bias in Radiology Artificial Intelligence: Causes, Evaluation, and Mitigation.
  J Am Coll Radiol Volume: 20 Page(s): 842 - 851
  09/01/2023 Authors: Banerjee I; Bhattacharjee K; Burns JL; Trivedi H; Purkayastha S; Seyyed-Kalantari L; Patel BN; Shiradkar R; Gichoya J
• 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
• Ten quick tips for computational analysis of medical images.
  PLoS Comput Biol Volume: 19 Page(s): e1010778
  01/01/2023 Authors: Chicco D; Shiradkar R
• 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
• Corrigendum to Integrating pathomics with radiomics and genomics for cancer prognosis: A brief review
  CHINESE JOURNAL OF CANCER RESEARCH Volume: 33 Page(s): 724 - 724
  12/01/2021 Authors: Lu C; Shiradkar R; Liu Z
• Integrating pathomics with radiomics and genomics for cancer prognosis: A brief review.
  Chin J Cancer Res Volume: 33 Page(s): 563 - 573
  10/31/2021 Authors: Lu C; Shiradkar R; Liu Z
• Editorial for "Multiparametric MRI-Based Peritumoral Radiomics for Preoperative Prediction of the Presence of Extracapsular Extension With Prostate Cancer".
  J Magn Reson Imaging Volume: 54 Page(s): 1231 - 1232
  10/01/2021 Authors: Shiradkar R
• 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
• 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
• 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
• 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
• 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 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
• 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
• 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
• 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-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
• 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
• 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
• 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
• Trainee Research Prizes from the 2017 RSNA Scientific Assembly and Annual Meeting
  RADIOLOGY Volume: 287 Page(s): 1 - 4
  04/01/2018 Authors: Aboutalib SS; Abdelfadeel AMG; Schreuder A; Jang JK; Pandey P; Shiradkar R; Galimzianova A; Qi X; Larimer B; McDonald RJ
• 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
• 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
• 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 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
• 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