| 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 | 41 | 2022 |
| A machine learning approach to liver histological evaluation predicts clinically significant portal hypertension in NASH cirrhosis J Bosch, C Chung, OM Carrasco‐Zevallos, SA Harrison, MF Abdelmalek, ... Hepatology 74 (6), 3146-3160, 2021 | 37 | 2021 |
| Rethinking machine learning model evaluation in pathology SA Javed, D Juyal, Z Shanis, S Chakraborty, H Pokkalla, A Prakash arXiv preprint arXiv:2204.05205, 2022 | 14 | 2022 |
| AI-based histologic scoring enables automated and reproducible assessment of enrollment criteria and endpoints in NASH clinical trials JS Iyer, H Pokkalla, C Biddle-Snead, O Carrasco-Zevallos, M Lin, ... MedRxiv, 2023 | 7 | 2023 |
| Additive mil: Intrinsic interpretability for pathology SA Javed, D Juyal, H Padigela, A Taylor-Weiner, L Yu, A Prakash arXiv preprint arXiv:2206.01794, 2022 | 6 | 2022 |
| 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 |
| AI-based histologic measurement of NASH (AIM-NASH): a drug development tool for assessing clinical trial end points O Carrasco-Zevallos, A Taylor-Weiner, H Pokkalla, M Pouryahya, ... JOURNAL OF HEPATOLOGY 75, S254-S254, 2021 | 3 | 2021 |
| Liver biopsy graph neural networks for automated histologic scoring using the NASH CRN system J Wang, M Pouryahya, K Leidal, H Pokkalla, D Juyal, Z Shanis, A Pedawi, ... JOURNAL OF HEPATOLOGY 75, S602-S603, 2021 | 3 | 2021 |
| Machine learning identifies histologic features associated with regression of cirrhosis in treatment for chronic hepatitis B. Poster presentation at the European Association … D Juyal, C Shukla, H Pokkalla, A Taylor, O Zevallos, M Resnick | 2 | 2022 |
| PLUTO: Pathology-Universal Transformer D Juyal, H Padigela, C Shah, D Shenker, N Harguindeguy, Y Liu, B Martin, ... arXiv preprint arXiv:2405.07905, 2024 | 1 | 2024 |
| Foundation AI models predict molecular measurements of tumor purity Y Gerardin, D Shenker, J Hipp, N Harguindeguy, D Juyal, C Shah, ... Cancer Research 84 (6_Supplement), 7402-7402, 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 |
| Self-training of machine learning models for liver histopathology: Generalization under clinical shifts J Li, D Rajan, C Shah, D Juyal, S Chakraborty, C Akiti, F Kos, J Iyer, ... arXiv preprint arXiv:2211.07692, 2022 | 1 | 2022 |
| AI-based automation of enrollment criteria and endpoint assessment in clinical trials in liver diseases JS Iyer, D Juyal, Q Le, Z Shanis, H Pokkalla, M Pouryahya, A Pedawi, ... Nature Medicine, 1-10, 2024 | | 2024 |
| 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 | | 2024 |
| Abstract PO3-07-04: Prediction of PAM50 molecular subtypes from H&E-stained breast cancer specimens using tumor microenvironment features and additive multiple instance … M Guramare, SA Javed, C Kirkup, D Juyal, J Brosnan-Cashman, ... Cancer Research 84 (9_Supplement), PO3-07-04-PO3-07-04, 2024 | | 2024 |
| 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 | | 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 |
Amaro N Taylor-WeinerChief AI Officer, Absci在 absci.com 的电子邮件经过验证
