Prediction of chronological and biological age from laboratory data L Sagers, L Melas-Kyriazi, CJ Patel, AK Manrai Aging 12 (9), 7626-7638, 2020 | 26 | 2020 |
Improving dermatology classifiers across populations using images generated by large diffusion models LW Sagers, JA Diao, M Groh, P Rajpurkar, AS Adamson, AK Manrai NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research, 2022 | 19 | 2022 |
Predicting suicidal thoughts and behavior among adolescents using the risk and protective factor framework: A large-scale machine learning approach O Weller, L Sagers, C Hanson, M Barnes, Q Snell, ES Tass Plos one 16 (11), e0258535, 2021 | 12 | 2021 |
Augmenting medical image classifiers with synthetic data from latent diffusion models LW Sagers, JA Diao, L Melas-Kyriazi, M Groh, P Rajpurkar, AS Adamson, ... arXiv preprint arXiv:2308.12453, 2023 | 5 | 2023 |
Harmonized US National Health and Nutrition Examination Survey 1988-2018 for high throughput exposome-health discovery VK Nguyen, LYM Middleton, L Huang, N Zhao, E Verly Jr, J Kvasnicka, ... medRxiv, 2023 | 5 | 2023 |
Augmenting medical image classifiers with synthetic data across populations LW Sagers | | 2024 |
527. Antimicrobial stewardship for empirical treatment of bloodstream infection using machine learning clinical decision support S Kanjilal, L Sagers, K Li, A Byambajargal, D Sontag Open Forum Infectious Diseases 9 (Supplement_2), ofac492. 582, 2022 | | 2022 |