| 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 |
| See the e-waste! training visual intelligence to see dense circuit boards for recycling A Jahanian, QH Le, K Youcef-Toumi, D Tsetserukou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 12 | 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 |
| Machine learning-enabled continuous scoring of histologic features facilitates prediction of clinical disease progression in patients with non-alcoholic steatohepatitis J Iyer, C Biddle-Snead, Q Le, P Mistry, I Finberg, V Mountain, R Myers, ... Journal of Hepatology 77, S700-S701, 2022 | 3 | 2022 |
| ARTIFICIAL INTELLIGENCE-POWERED DIGITAL PATHOLOGY MODEL SUPPORTS THAT FIBROSIS IS REDUCED BY SEMAGLUTIDE IN PATENTS WITH NASH SA Harrison, SM Francque, O Carrasco-Zevallos, V Cejvanovic, ... Hepatology 74, 1131A-1132A, 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 |
| 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 |
| Instance Semantic Segmentation Benefits from Generative Adversarial Networks QH Le, K Youcef-Toumi, D Tsetserukou, A Jahanian NeurIPS 2021 Workshop on Deep Generative Models and Downstream Applications, 2021 | 1 | 2021 |
| Scoring PD-L1 Expression in Urothelial Carcinoma: An International Multi-Institutional Study on Comparison of Manual and Artificial Intelligence Measurement Model (AIM-PD-L1 … J Rüschoff, G Kumar, S Badve, B Jasani, E Krause, N Rioux-Leclercq, ... Virchows Archiv, 1-12, 2024 | | 2024 |
| Artificial intelligence scoring of liver biopsies in a phase ii trial of semaglutide in non-alcoholic steatohepatitis V Ratziu, S Francque, CA Behling, V Cejvanovic, H Cortez-Pinto, JS Iyer, ... Hepatology, 10.1097, 2023 | | 2023 |
| Retrospective AI-based measurement of NASH histology (AIM-NASH) analysis of biopsies from Phase 2 study of resmetirom confirms significant treatment-induced changes in … S Harrison, J Iyer, C Biddle-Snead, S Hoffman, Q Le, V Mountain, ... JOURNAL OF HEPATOLOGY 77, S711-S712, 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 |
| 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 |
Oscar M. Carrasco-ZevallosAI/ML for Drug Development - Janssen R&D Data Science, J&J在 its.jnj.com 的电子邮件经过验证
