| A machine learning approach to liver histological evaluation predicts clinically significant portal hypertension in NASH cirrhosis J Bosch, C Chung, OM CarrascoZevallos, SA Harrison, MF Abdelmalek, ... Hepatology 74 (6), 3146-3160, 2021 | 32 | 2021 |
| Intramodality domain adaptation using self ensembling and adversarial training Z Shanis, S Gerber, M Gao, A Enquobahrie Domain Adaptation and Representation Transfer and Medical Image Learning …, 2019 | 24 | 2019 |
| Active learning technique for multimodal brain tumor segmentation using limited labeled images D Sharma, Z Shanis, CK Reddy, S Gerber, A Enquobahrie Domain Adaptation and Representation Transfer and Medical Image Learning …, 2019 | 17 | 2019 |
| 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 |
| Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data Z Shanis, S Gerber, M Gao, A Enquobahrie Springer, 2019 | 8 | 2019 |
| 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 |
| 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 |
| 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 |
| 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 |
| Rethinking Machine Learning Model Evaluation in Pathology S Ashar Javed, D Juyal, Z Shanis, S Chakraborty, H Pokkalla, A Prakash arXiv e-prints, arXiv: 2204.05205, 2022 | | 2022 |
| 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 |
