| Identifying causal variants by fine mapping across multiple studies N LaPierre, K Taraszka, H Huang, R He, F Hormozdiari, E Eskin PLoS genetics 17 (9), e1009733, 2021 | 53 | 2021 |
| Predicting inhospital mortality among patients admitted with a diagnosis of heart failure: a machine learning approach Z Jawadi, R He, PK Srivastava, GC Fonarow, SO Khalil, S Krishnan, ... ESC Heart Failure, 2024 | 4 | 2024 |
| Applying joint graph embedding to study Alzheimer’s neurodegeneration patterns in volumetric data R He, D Tward, Alzheimer’s Disease Neuroimaging Initiative Neuroinformatics 21 (3), 601-614, 2023 | 2 | 2023 |
| Individualized multi-horizon MRI trajectory prediction for Alzheimer's Disease R He, G Ang, D Tward arXiv preprint arXiv:2408.02018, 2024 | 1 | 2024 |
| Generative AI models in time varying biomedical data: a systematic review RY He, V Sarwal, X Qiu, Y Zhuang, L Zhang, Y Liu, JN Chiang Apr, 2024 | 1 | 2024 |
| Disease risk and healthcare utilization among ancestrally diverse groups in the Los Angeles region C Caggiano, A Boudaie, R Shemirani, J Mefford, E Petter, A Chiu, ... Nature Medicine 29 (7), 1845-1856, 2023 | 1 | 2023 |
| Statistical testing on generative AI anomaly detection tools in Alzheimer's Disease diagnosis R He, I Takeuchi arXiv preprint arXiv:2410.13363, 2024 | | 2024 |
| TFT-multi: simultaneous forecasting of vital sign trajectories in the ICU RY He, JN Chiang arXiv preprint arXiv:2409.15586, 2024 | | 2024 |
| BioinformaticsBench: A collaboratively built large language model benchmark for Bioinformatics reasoning V Sarwal, S Lee, R He, A Kattapuram, E Eskin, W Wang, S Mangul ICML 2024 Workshop on Efficient and Accessible Foundation Models for …, 0 | | |
Eleazar EskinUniversity of California, Los Angeles在 cs.ucla.edu 的电子邮件经过验证
