| A machine learning algorithm to increase COVID-19 inpatient diagnostic capacity D Goodman-Meza, A Rudas, JN Chiang, PC Adamson, J Ebinger, N Sun, ... Plos one 15 (9), e0239474, 2020 | 73 | 2020 |
| Machine Learning–Based Diagnosis of Covid-19 using Clinical Data MN Gowda, D Singh, M Rakhra 2022 3rd International Conference on Intelligent Engineering and Management …, 2022 | 15 | 2022 |
| Automated identification of incomplete and complete retinal epithelial pigment and outer retinal atrophy using machine learning JN Chiang, G Corradetti, MG Nittala, F Corvi, N Rakocz, A Rudas, ... Ophthalmology Retina 7 (2), 118-126, 2023 | 12 | 2023 |
| Deep learning-based phenotype imputation on population-scale biobank data increases genetic discoveries U An, A Pazokitoroudi, M Alvarez, L Huang, S Bacanu, AJ Schork, ... Nature Genetics 55 (12), 2269-2276, 2023 | 11 | 2023 |
| Forecasting sparse traffic congestion patterns using message-passing rnns SR Iyer, U An, L Subramanian ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 9 | 2020 |
| Modeling fine-grained spatio-temporal pollution maps with low-cost sensors SR Iyer, A Balashankar, WH Aeberhard, S Bhattacharyya, G Rusconi, ... npj Climate and Atmospheric Science 5 (1), 76, 2022 | 5 | 2022 |
| Phenotype integration improves power and preserves specificity in biobank-based genetic studies of major depressive disorder A Dahl, M Thompson, U An, M Krebs, V Appadurai, R Border, SA Bacanu, ... Nature Genetics 55 (12), 2082-2093, 2023 | 3 | 2023 |
| STENSL: Microbial Source Tracking with ENvironment SeLection U An, L Shenhav, CA Olson, EY Hsiao, E Halperin, S Sankararaman Msystems 7 (5), e00995-21, 2022 | 3 | 2022 |
| Traffic speed forecasting via spatio-temporal attentive graph isomorphism network Q Yang, T Zhong, F Zhou ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 2 | 2021 |
| SLIViT: a general AI framework for clinical-feature diagnosis from limited 3D biomedical-imaging data O Avram, B Durmus, N Rakocz, G Corradetti, U An, MG Nitalla, A Rudas, ... Research Square, 2023 | 1 | 2023 |
| Automated Identification of Incomplete and Complete Retinal Epithelial Pigment and Outer Retinal Atrophy Using Machine Learning G Corradetti, JN Chiang, F Corvi, N Rakocz, A Rudas, B Durmus, A Chiu, ... Investigative Ophthalmology & Visual Science 63 (7), 3860-3860, 2022 | 1 | 2022 |
| AutoComplete: Deep Learning-Based Phenotype Imputation for Large-Scale Biomedical Data U An, N Cai, A Dahl, S Sankararaman International Conference on Research in Computational Molecular Biology, 385-386, 2022 | 1 | 2022 |
| Research in Computational Molecular Biology: 27th Annual International Conference, RECOMB 2023, Istanbul, Turkey, April 16–19, 2023, Proceedings H Tang Springer Nature, 2023 | | 2023 |
| Expanding COVID-19 symptom screening to retail, restaurants, and schools by preserving privacy using relaxed digital signatures B Jew, A Korb, P Lou, JN Chiang, U An, A Sahai, E Halperin, E Eskin medRxiv, 2020.08. 06.20169839, 2020 | | 2020 |
| Projecting hospital resource utilization during a surge using parametric bootstrapping JN Chiang, U An, M Kordi, B Jew, C Kravit, WJ Dunne, R Perez, ... medRxiv, 2020.07. 30.20164475, 2020 | | 2020 |
Eran HalperinUniversity of California, Los AngelesVerified email at cs.ucla.edu
