Publications and Scientific Developments

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• Image-based multiplex immune profiling of cancer tissues: translational implications. A report of the International Immuno-oncology Biomarker Working Group on Breast Cancer. https://doi.org/10.1002/path.6238
• Failing to make the grade: Conventional cardiac allograft rejection grading criteria are inadequate for predicting rejection severity. https://doi.org/10.1161/CIRCHEARTFAILURE.123.010950
• Computational pathology identifies immune-mediated collagen disruption to predict clinical outcomes in gynecological malignancies. https://doi.org/10.1038/s43856-023-00428-0
• Vision transformers for computational histopathology. https://doi.org/10.1109/rbme.2023.3297604
• Identifying primary tumor site of origin for liver metastases via a combination of handcrafted and deep learning features. https://doi.org/10.1002/cjp2.344

• A review of AI-based radiomics and computational pathology approaches in triple-negative breast cancer: current applications and perspectives. https://doi.org/10.1016/j.clbc.2023.06.004
• Visual assessment of 2-dimensional levels within 3-dimensional pathology datasets of prostate needle biopsies reveals substantial spatial heterogeneity. https://doi.org/10.1016/j.labinv.2023.100265
• Recurrent oropharyngeal squamous cell carcinomas maintain anti-tumor immunity and multinucleation levels following completion of radiation. https://doi.org/10.1007/s12105-023-01597-z
• Intra-nucleus mosaic pattern (InMop) and whole-cell Haralick combined-descriptor for identifying and characterizing acute leukemia blasts on single cell peripheral blood images. https://doi.org/10.1002/cyto.a.24785
• Single-cell morphological and topological atlas reveals the ecosystem diversity of human breast cancer. https://doi.org/10.1038/s41467-023-42504-y
• Can radiomics bridge the gap between immunotherapy and precision medicine in lung cancer? https://doi.org/10.1016/j.jtho.2023.03.011
• Computational pathology improves risk stratification of a multi-gene assay for early state ER+ breast cancer. https://doi.org/10.1038/s41523-023-00545-y
• Novel fractal-based sub-RPE compartment OCT radiomics biomarkers are associated with subfoveal geographic atrophy in dry AMD. https://doi.org/10.1109/TBME.2023.3270201 
• Integrating radiomics with clinicoradiological scoring can predict high-risk patients who need surgery in crohn's disease: a pilot study. https://doi.org/10.1093/ibd/izac211
• Spatial connectivity of tumor and associated cells (SpaCell): a novel computational pathology biomarker https://doi.org/10.1117/12.2653950
• A pathomic study for risk stratification and unraveling molecular associations of different histologic subtypes of papillary thyroid cancer https://doi.org/10.1117/12.2655929
• Automated analysis of computerized morphological features of cell clusters associated with malignancy on bile duct brushing whole slide images https://doi.org/10.1002/cam4.5365
• Multi-site cross-organ calibrated deep learning (MuSClD): Automated diagnosis of non-melanoma skin cancer. https://doi.org/10.1016/j.media.2022.102702
• 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. https://doi.org/10.1016/j.ebiom.2022.104315
• The state of the art for artificial intelligence in lung digital pathology. https://doi.org/10.1002/path.5966
• Prostate Surface Distension and Tumor Texture Descriptors From Pre-Treatment MRI Are Associated With Biochemical Recurrence Following Radical Prostatectomy: Preliminary Findings. https://doi.org/10.3389/fonc.2022.841801
• Image analysis reveals differences in tumor multinucleations in Black and White patients with human papillomavirus-associated oropharyngeal squamous cell carcinoma. https://doi.org/10.1002/cncr.34446
• Machine Learning to Predict Risk of Relapse Using Cytologic Image Markers in Patients With Acute Myeloid Leukemia Posthematopoietic Cell Transplantation. https://doi.org/10.1200/cci.21.00156
• An Imaging Biomarker of Tumor-Infiltrating Lymphocytes to Risk-Stratify Patients With HPV-Associated Oropharyngeal Cancer. https://doi.org/10.1093/jnci/djab215
• Novel Imaging Biomarkers to Assess Oncologic Treatment-Related Changes. https://doi.org/10.1200/edbk_350931
• History of the SPIE Medical Imaging Digital Pathology Conference, https://doi.org/10.1117/1.jmi.9.s1.012203