| A systematic classification of knowledge, reasoning, and context within the ARC dataset M Boratko, H Padigela, D Mikkilineni, P Yuvraj, R Das, A McCallum, ... Proceedings of the Workshop on Machine Reading for Question Answering …, 2018 | 63 | 2018 |
| Investigating the successes and failures of BERT for passage re-ranking H Padigela, H Zamani, WB Croft arXiv preprint arXiv:1905.01758, 2019 | 58 | 2019 |
| Additive MIL: Intrinsically interpretable multiple instance learning for pathology SA Javed, D Juyal, H Padigela, A Taylor-Weiner, L Yu, A Prakash Advances in Neural Information Processing Systems 35, 20689-20702, 2022 | 52* | 2022 |
| An interface for annotating science questions M Boratko, H Padigela, D Mikkilineni, P Yuvraj, R Das, A McCallum, ... Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 7 | 2018 |
| 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 | 4 | 2023 |
| Synthetic DOmain-Targeted Augmentation (S-DOTA) improves model generalization in digital pathology SC Gullapally, Y Zhang, NK Mittal, D Kartik, S Srinivasan, K Rose, ... arXiv preprint arXiv:2305.02401, 2023 | 4 | 2023 |
| PLUTO: Pathology-Universal Transformer D Juyal, H Padigela, C Shah, D Shenker, N Harguindeguy, Y Liu, B Martin, ... ICML 2024 Workshop on Accessible and Efficient Foundation Models for …, 2024 | 3 | 2024 |
| Machine Learning-Based Prediction Of Geboes Score And Histologic Improvement And Remission Thresholds In Ulcerative Colitis Zahil Shanis, Harshith Padigela, Kathleen Sucipto, John Shamshoian, Jin Li ... Inflammatory Bowel Diseases 29 (Supplement_1), Pages S19–S20, 2023 | 2* | 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 | 2 | 2023 |
| Interpretability analysis on a pathology foundation model reveals biologically relevant embeddings across modalities N Le, C Shen, C Shah, B Martin, D Shenker, H Padigela, J Hipp, S Grullon, ... arXiv preprint arXiv:2407.10785, 2024 | 1 | 2024 |
| AI powered quantification of nuclear morphology in cancers enables prediction of genome instability and prognosis J Abel, S Jain, D Rajan, H Padigela, K Leidal, A Prakash, J Conway, ... npj Precision Oncology 8 (1), 134, 2024 | 1 | 2024 |
| 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 |
| AI-powered segmentation and analysis of nuclei morphology predicts genomic and clinical markers in multiple cancer types J Abel, S Jain, D Rajan, K Leidal, H Padigela, A Prakash, J Conway, ... Cancer Research 82 (12_Supplement), 464-464, 2022 | 1 | 2022 |
| Abstract PO2-14-12: Accurate quantification of slide-level HER2 scores in breast cancer using a machine-learning model, AIM-HER2 Breast Cancer Z Shanis, R Cabeen, S Chakraborty, J Shamshoian, M Thibault, ... Cancer Research 84 (9_Supplement), PO2-14-12-PO2-14-12, 2024 | | 2024 |
| Spatial mapping of immunosuppressive cancer-associated fibroblast gene signatures in H&E-stained images using additive multiple instance learning M Markey, J Kim, Z Goldstein, Y Gerardin, J Brosnan-Cashman, SA Javed, ... bioRxiv, 2024.08. 12.607604, 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 |
| Deep-learning quantified 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 | | 2023 |
| Mo1754 MACHINE LEARNING-BASED PREDICTION OF GEBOES SCORE AND HISTOLOGIC IMPROVEMENT AND REMISSION THRESHOLDS IN ULCERATIVE COLITIS C Gaitán, Z Shanis, K Sucipto, J Shamshoian, J Li, G Hu, H Padigela, ... Gastroenterology 164 (6), S-894, 2023 | | 2023 |
| Abstract P4-09-08: AI-based quantitation of cancer cell and fibroblast nuclear morphology reflects transcriptomic heterogeneity and predicts survival in breast cancer J Abel, C Kirkup, F Kos, Y Gerardin, S Srinivasan, J Brosnan-Cashman, ... Cancer Research 83 (5_Supplement), P4-09-08-P4-09-08, 2023 | | 2023 |
Amaro N Taylor-WeinerChief AI Officer, AbsciVerified email at absci.com
