| 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 | 32 | 2021 |
| 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 | 21 | 2022 |
| 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 | 13 | 2022 |
| 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 |
| 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 | 3 | 2023 |
| 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 | 3 | 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 |
| 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 |
| 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 | | 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 |
| AI-BASED CELLULARLEVEL CHARACTERIZATION OF TISSUE MICROARCHITECTURE IN NON-ALCOHOLIC STEATOHEPATITIS N Patel, P Mistry, A Stanford-Moore, R Egger, MG Drage, M Resnick, ... HEPATOLOGY 78, S757-S758, 2023 | | 2023 |
| ContriMix: Unsupervised disentanglement of content and attribute for domain generalization in microscopy image analysis TH Nguyen, D Juyal, J Li, A Prakash, S Nofallah, C Shah, SC Gullapally, ... arXiv preprint arXiv:2306.04527, 2023 | | 2023 |
| WED-522 Characterizing the histologic implications of resmetirom-induced liver volume reduction using artificial intelligence-powered digital pathology P Mistry, A Stanford-Moore, R Egger, J Glickman, B Baker, N Chandra, ... | | 2023 |
| Characterizing the histologic implications of resmetirom-induced liver volume reduction using artificial intelligence-powered digital pathology P Mistry, A Stanford-Moore, R Egger, J Glickman, B Baker, N Chandra, ... Journal of Hepatology 78, S790, 2023 | | 2023 |
| 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 | | 2022 |
| MACHINE LEARNING ENABLES QUANTITATIVE ASSESSMENT OF HISTOPATHOLOGIC SIGNATURES ASSOCIATED WITH ALT NORMALIZATION IN CHRONIC HEPATITIS B PATIENTS TREATED WITH TENOFOVIR … C Shukla, O Carrasco-Zevallos, D Juyal, NHQ Le, V Mountain, H Pokkalla, ... The Liver Meeting Digital Experience™, 2020 | | 2020 |
| A MACHINE LEARNING MODEL BASED ON LIVER HISTOLOGY PREDICTS THE HEPATIC VENOUS PRESSURE GRADIENT (HVPG) IN PATIENTS WITH COMPENSATED CIRRHOSIS DUE TO NONALCOHOLIC … J Bosch, SA Harrison, MF Abdelmalek, ML Shiffman, DC Rockey, D Juyal, ... The Liver Meeting Digital Experience™, 2020 | | 2020 |
| MACHINE LEARNING BASED QUANTIFICATION OF HISTOLOGY FEATURES FROM PATIENTS TREATED FOR CHRONIC HEPATITIS B IDENTIFIES FEATURES ASSOCIATED WITH VIRAL DNA SUPPRESSION AND HBEAG LOSS C Shukla, O Carrasco-Zevallos, D Juyal, NHQ Le, V Mountain, H Pokkalla, ... The Liver Meeting Digital Experience™, 2020 | | 2020 |
Amaro N Taylor-WeinerChief AI Officer, AbsciEmail confirmado em absci.com
