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| Artificial intelligence enables quantitative assessment of ulcerative colitis histology F Najdawi, K Sucipto, P Mistry, S Hennek, CKB Jayson, M Lin, D Fahy, ... Modern Pathology 36 (6), 100124, 2023 | 14 | 2023 |
| Durable remission of locally advanced breast cancer with multimodality management A Miller, A Khosla, J Lynch, J Moreb, S Cullins, H Safah, C Hutchison, ... Medical Oncology 15, 89-95, 1998 | 3 | 1998 |
| MACHINE LEARNING-BASED PREDICTION OF GEBOES SCORE AND HISTOLOGIC IMPROVEMENT AND REMISSION THRESHOLDS IN ULCERATIVE COLITIS Z Shanis, H Padigela, K Sucipto, J Shamshoian, J Li, A Walker, D Fahy, ... Gastroenterology 164 (4), S25-S26, 2023 | 2 | 2023 |
| QUANTITATIVE AND EXPLAINABLE ARTIFICIAL INTELLIGENCE (AI)-POWERED APPROACHES TO PREDICT ULCERATIVE COLITIS DISEASE ACTIVITY FROM HEMATOXYLIN AND EOSIN (H&E)-STAINED WHOLE SLIDE … K Sucipto, A Khosla, M Drage, Y Wang, D Fahy, M Lin, M Resnick, ... Inflammatory Bowel Diseases 29 (Supplement_1), S22-S23, 2023 | 2 | 2023 |
| SC-MIL: Supervised Contrastive Multiple Instance Learning for Imbalanced Classification in Pathology D Juyal, S Shingi, SA Javed, H Padigela, C Shah, A Sampat, A Khosla, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 1 | 2024 |
| Abstract B010: Spatially-resolved prediction of gene expression signatures in H&E whole slide images using additive multiple instance learning models M Markey, J Kim, Z Goldstein, Y Gerardin, J Brosnan-Cashman, SA Javed, ... Molecular Cancer Therapeutics 22 (12_Supplement), B010-B010, 2023 | 1 | 2023 |
| Improved statistical benchmarking of digital pathology models using pairwise frames evaluation Y Gerardin, J Shamshoian, J Shen, N Le, J Prezioso, J Abel, I Finberg, ... arXiv preprint arXiv:2306.04709, 2023 | 1 | 2023 |
| Cell-type-specific nuclear morphology predicts genomic instability and prognosis in multiple cancer types J Abel, S Jain, D Rajan, H Padigela, K Leidal, A Prakash, J Conway, ... bioRxiv, 2023.05. 15.539600, 2023 | 1 | 2023 |
| Artificial intelligence (AI)-based classification of stromal subtypes reveals associations between stromal composition and prognosis in NSCLC F Najdawi, S Srinivasan, N Patel, MG Drage, C Kirkup, C Parmar, ... Cancer Research 83 (7_Supplement), 5447-5447, 2023 | 1 | 2023 |
| Fully automated histological classification of cell types and tissue regions of celiac disease is feasible and correlates with the Marsh score M Griffin, A Gruver, C Shah, Q Wani, D Fahy, A Khosla, C Kirkup, ... medRxiv, 2023.12. 11.23299520, 2023 | 1 | 2023 |
| 1291 A multi-tumor machine learning model to identify tertiary lymphoid structures in histopathological H&E images as a potential clinical biomarker V Matos-Cruz, R Sargent, V Chinnaobireddy, M Pouryahya, G Lee, ... Journal for ImmunoTherapy of Cancer 10 (Suppl 2), 2022 | 1 | 2022 |
| 593P AI-powered analysis of nuclear morphology associated with prognosis in high-grade serous carcinoma CM Michener, C Kirkup, B Rahsepar, JS Iyer, J Abel, K Leidal, A Khosla, ... Annals of Oncology 33, S818, 2022 | 1 | 2022 |
| Quantification of TGFβ protein levels and digital pathology-based immune phenotyping reveal biomarkers for TGF-β blockade therapy patient selection in NSCLC R Pomponio, C Hendricks, SM Bean, H Wang, S Brutus, C Biddle-Snead, ... Cancer Research 82 (12_Supplement), 5099-5099, 2022 | 1 | 2022 |
| Abstract PO1-15-01: Digital pathology models reveal case-specific characteristics of the tumor microenvironment Y Gerardin, C Kirkup, A Khosla, L Chambre, M Drage, A Taylor-Weiner Cancer Research 84 (9_Supplement), PO1-15-01-PO1-15-01, 2024 | | 2024 |
| Classification of the Tumor Immune Microenvironment Using Machine-Learning-Based CD8 Immunophenotyping As a Potential Biomarker for Immunotherapy and TGF-β Blockade in Nonsmall … RJ Pomponio, H Wang, SM Bean, Q Tang, R Trullo, JS Lee, B Demers, ... AI in Precision Oncology, 2024 | | 2024 |
| Spatially-resolved prediction of gene expression signatures in H&E whole slide images using additive multiple instance learning models M Markey, J Kim, Z Goldstein, Y Gerardin, J Brosnan-Cashman, SA Javed, ... MOLECULAR CANCER THERAPEUTICS 22 (12), 2023 | | 2023 |
| 122 Quantification of tumor infiltrating lymphocytes (TILs) from pathology slides reflects molecular immune phenotypes C Shen, S Nofallah, J Conway, C Parmar, MG Drage, F Najdawi, ... Journal for ImmunoTherapy of Cancer 11 (Suppl 1), 2023 | | 2023 |
| Machine Learning Identification, Classification, and Quantification of Tertiary Lymphoid Structures V Matos-Cruz, G Lee, V Chinnaobireddy, M Pouryahya, DT Fahy, ... US Patent App. 18/297,281, 2023 | | 2023 |
| 2354P Computational pathology-derived features capture varied epithelial-mesenchymal transition (EMT) states H Levine, C Kirkup, S Vilchez, S Srinivasan, M Lin, J Abel, M Drage, ... Annals of Oncology 34, S1197, 2023 | | 2023 |
