| Interpretable classification models for recidivism prediction J Zeng, B Ustun, C Rudin Journal of the Royal Statistical Society Series A 180 (3), 689-722, 2017 | 311 | 2017 |
| Automated detection of rockfish in unconstrained underwater videos using haar cascades and a new image dataset: Labeled fishes in the wild G Cutter, K Stierhoff, J Zeng 2015 IEEE Winter Applications and Computer Vision Workshops, 57-62, 2015 | 104 | 2015 |
| Write it like you see it: Detectable differences in clinical notes by race lead to differential model recommendations H Adam, MY Yang, K Cato, I Baldini, C Senteio, LA Celi, J Zeng, M Singh, ... Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society, 7-21, 2022 | 38 | 2022 |
| Uncovering interpretable potential confounders in electronic medical records J Zeng, MF Gensheimer, DL Rubin, S Athey, RD Shachter Nature communications 13 (1), 1014, 2022 | 35 | 2022 |
| Natural language processing to identify cancer treatments with electronic medical records J Zeng, I Banerjee, AS Henry, DJ Wood, RD Shachter, MF Gensheimer, ... JCO Clinical Cancer Informatics 5, 379-393, 2021 | 33 | 2021 |
| The relevance of Bayesian layer positioning to model uncertainty in deep Bayesian active learning J Zeng, A Lesnikowski, JM Alvarez Third workshop on Bayesian Deep Learning, NeurIPS 2018, 2018 | 29 | 2018 |
| A probabilistic model to support radiologists’ classification decisions in mammography practice J Zeng, F Gimenez, ES Burnside, DL Rubin, R Shachter Medical Decision Making 39 (3), 208-216, 2019 | 6 | 2019 |
| Downstream Fairness Caveats with Synthetic Healthcare Data K Bhanot, I Baldini, D Wei, J Zeng, KP Bennett Conference on Health, Inference, and Learning (CHIL), 2022 | 4 | 2022 |
| Stress-Testing Bias Mitigation Algorithms to Understand Fairness Vulnerabilities K Bhanot, I Baldini, D Wei, J Zeng, K Bennett Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society, 764-774, 2023 | 2 | 2023 |
| Developing a machine learning tool for dynamic cancer treatment strategies J Zeng Proceedings of the AAAI Conference on Artificial Intelligence 34 (10), 13742 …, 2020 | 2 | 2020 |
| Stress-testing Fairness Mitigation Techniques under Distribution Shift using Synthetic Data K Bhanot, I Baldini, D Wei, J Zeng, K Bennett Processings of the 2022 Knowledge Discovery in Databases (KDD), 2022 | 1* | 2022 |
| Cancer treatment classification with electronic medical health records (student abstract) J Zeng, I Banerjee, M Gensheimer, D Rubin Proceedings of the AAAI Conference on Artificial Intelligence 34 (10), 13981 …, 2020 | 1 | 2020 |
| Commissioning pencil beam scanning for pre-clinical ultra-high dose rate (UHDR) irradiations J Saini, D Erickson, L Palmer, N Cao, C Bloch, T Wong, J Zeng, ... International Journal of Particle Therapy 11, 100080, 2024 | | 2024 |
| Adaptation of a Clinical Proton Pencil Beam Scanning System for FLASH Experiments DPJ Erickson, J Saini, N Cao, EC Ford, R Emery, M Kranz, PH Goff, ... International Journal of Radiation Oncology, Biology, Physics 117 (2), e664, 2023 | | 2023 |
| FLASH vs. Conventional Dose Rate Proton Radiation in Mouse Abdomen N Cao, DPJ Erickson, S Tan, D Argento, R Emery, M Kranz, R Rengan, ... International Journal of Radiation Oncology, Biology, Physics 114 (3), e520, 2022 | | 2022 |
| Transition to Disease-Site Specific Chart Rounds: An Evaluation of Impact on Quality and Perceptions of Practitioners P Zaki, MD Greer, MH Blau, EY Kim, S Apisarnthanarax, J Zeng, JN Kim, ... International Journal of Radiation Oncology, Biology, Physics 114 (3), e474, 2022 | | 2022 |
| FLASH Mechanisms Track (Oral Presentations) MOUSE ABDOMEN RADIATION USING A 50 MEV PROTON BEAM: FLASH VS. CONVENTIONAL DOSE RATE N Cao, D Erickson, S Tan, D Argento, R Emery, M Kranz, R Rengan, ... Physica Medica 94, S10-S11, 2022 | | 2022 |
| Evaluating Fairness of Synthetic Healthcare Data Models KPB K. Bhanot, I. Baldini, D. Wei, J. Zeng AMIA Annual Symposium, 2022 | | 2022 |
| Perceptions of Disease-Site Specific Chart Rounds at an Academic Institution P Zaki, MD Greer, MH Blau, EY Kim, S Apisarnthanarax, J Zeng, JN Kim, ... International Journal of Radiation Oncology, Biology, Physics 111 (3), e505-e506, 2021 | | 2021 |
| Mining Electronic Medical Records for Cancer Treatment Decisions J Zeng Stanford University, 2021 | | 2021 |
Michael F. GensheimerStanford University在 stanford.edu 的电子邮件经过验证
