| From local explanations to global understanding with explainable AI for trees SM Lundberg, G Erion, H Chen, A DeGrave, JM Prutkin, B Nair, R Katz, ... Nature machine intelligence 2 (1), 56-67, 2020 | 5584 | 2020 |
| A suite of tutorials for the WESTPA rare-events sampling software [Article v1. 0] AT Bogetti, B Mostofian, A Dickson, AJ Pratt, AS Saglam, PO Harrison, ... Living journal of computational molecular science 1 (2), 2019 | 807 | 2019 |
| AI for radiographic COVID-19 detection selects shortcuts over signal AJ DeGrave, JD Janizek, SI Lee Nature Machine Intelligence 3 (7), 610-619, 2021 | 632 | 2021 |
| Explainable AI for trees: From local explanations to global understanding SM Lundberg, G Erion, H Chen, A DeGrave, JM Prutkin, B Nair, R Katz, ... arXiv preprint arXiv:1905.04610, 2019 | 411 | 2019 |
| WESTPA 2.0: High-performance upgrades for weighted ensemble simulations and analysis of longer-timescale applications JD Russo, S Zhang, JMG Leung, AT Bogetti, JP Thompson, AJ DeGrave, ... Journal of Chemical Theory and Computation 18 (2), 638-649, 2022 | 65 | 2022 |
| An adversarial approach for the robust classification of pneumonia from chest radiographs JD Janizek, G Erion, AJ DeGrave, SI Lee Proceedings of the ACM conference on health, inference, and learning, 69-79, 2020 | 43 | 2020 |
| Transparent medical image AI via an image–text foundation model grounded in medical literature C Kim, SU Gadgil, AJ DeGrave, JA Omiye, ZR Cai, R Daneshjou, SI Lee Nature Medicine, 1-12, 2024 | 35 | 2024 |
| Large enhancement of response times of a protein conformational switch by computational design AJ DeGrave, JH Ha, SN Loh, LT Chong Nature communications 9 (1), 1013, 2018 | 34 | 2018 |
| Auditing the inference processes of medical-image classifiers by leveraging generative AI and the expertise of physicians AJ DeGrave, ZR Cai, JD Janizek, R Daneshjou, SI Lee Nature Biomedical Engineering, 1-13, 2023 | 29 | 2023 |
| A twist in the road less traveled: The AMBER ff15ipq-m force field for protein mimetics AT Bogetti, HE Piston, JMG Leung, CC Cabalteja, DT Yang, AJ DeGrave, ... The Journal of chemical physics 153 (6), 2020 | 24 | 2020 |
| The RED scheme: Rate-constant estimation from pre-steady state weighted ensemble simulations AJ DeGrave, AT Bogetti, LT Chong The Journal of Chemical Physics 154 (11), 2021 | 18 | 2021 |
| Fostering transparent medical image AI via an image-text foundation model grounded in medical literature C Kim, SU Gadgil, AJ DeGrave, ZR Cai, R Daneshjou, SI Lee medRxiv, 2023 | 10 | 2023 |
| Dissection of medical AI reasoning processes via physician and generative-AI collaboration AJ DeGrave, ZR Cai, JD Janizek, R Daneshjou, SI Lee Medrxiv, 2023 | 8 | 2023 |
| Reducing the impact of transient effects in rate-constant estimation using the weighted ensemble strategy AJ DeGrave, LT Chong bioRxiv, 453647, 2018 | 4 | 2018 |
| Auditing the Reasoning Processes of Medical-Image AI A DeGrave University of Washington, 2024 | 1 | 2024 |
| Discovering mechanisms underlying medical AI prediction of protected attributes S Gadgil, AJ DeGrave, R Daneshjou, SI Lee medRxiv, 2024.04. 09.24305289, 2024 | | 2024 |
| Course Corrections for Clinical AI AJ DeGrave, JD Janizek, SI Lee Kidney360 2 (12), 2019-2023, 2021 | | 2021 |
| From local explanations to global understanding with explainable AI for trees, Nat. Mach. Intell., 2, 56–67 SM Lundberg, G Erion, H Chen, A DeGrave, JM Prutkin, B Nair, R Katz, ... | | 2020 |
| Molecular simulations of alternate frame folding in an engineered Ca2+-sensing protein switch A DeGrave, JH Ha, S Loh, L Chong ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY 251, 2016 | | 2016 |
| Supporting Information For: The RED scheme: Rate-constant estimation from pre-steady state weighted ensemble simulations AJ DeGrave, AT Bogetti, LT Chong | | |
