| Multimodal learning with graphs Y Ektefaie, G Dasoulas, A Noori, M Farhat, M Zitnik Nature Machine Intelligence, 1-11, 2023 | 69 | 2023 |
| Globally diverse Mycobacterium tuberculosis resistance acquisition: a retrospective geographical and temporal analysis of whole genome sequences Y Ektefaie, A Dixit, L Freschi, MR Farhat The Lancet Microbe 2 (3), e96-e104, 2021 | 44 | 2021 |
| A convolutional neural network highlights mutations relevant to antimicrobial resistance in Mycobacterium tuberculosis AG Green, CH Yoon, ML Chen, Y Ektefaie, M Fina, L Freschi, MI Gröschel, ... Nature communications 13, 2022 | 37 | 2022 |
| Integrative multiomics-histopathology analysis for breast cancer classification Y Ektefaie, W Yuan, DA Dillon, NU Lin, JA Golden, IS Kohane, KH Yu NPJ Breast Cancer 7 (1), 1-6, 2021 | 27 | 2021 |
| Empowering Biomedical Discovery with AI Agents S Gao, A Fang, Y Huang, V Giunchiglia, A Noori, JR Schwarz, Y Ektefaie, ... arXiv preprint arXiv:2404.02831, 2024 | 7 | 2024 |
| Enriching the Study Population for Ischemic Stroke Therapeutic Trials Using a Machine Learning Algorithm J Maharjan, Y Ektefaie, L Ryan, S Mataraso, G Barnes, S Shokouhi, ... Frontiers in Neurology, 2577, 2022 | 4 | 2022 |
| Geometric multimodal representation learning Y Ektefaie, G Dasoulas, A Noori, M Farhat, M Zitnik arXiv preprint arXiv:2209.03299, 2022 | 2 | 2022 |
| Modern lineages of Mycobacterium tuberculosis were recently introduced in western India and demonstrate increased transmissibility A Dixit, A Kagal, Y Ektefaie, L Freschi, R Karyakarte, R Lokhande, ... medRxiv, 2022 | 2 | 2022 |
| Tuberculosis resistance acquisition in space and time: an analysis of globally diverse M. tuberculosis whole genome sequences Y Ektefaie, A Dixit, L Freschi, M Farhat bioRxiv, 837096, 2019 | 2 | 2019 |
| Evaluating generalizability of artificial intelligence models for molecular datasets Y Ektefaie, A Shen, D Bykova, M Marin, M Zitnik, MR Farhat bioRxiv, 2024.02. 25.581982, 2024 | 1 | 2024 |
| Is Ignorance Bliss? The Role of Post Hoc Explanation Faithfulness and Alignment in Model Trust T Han, Y Ektefaie, M Farhat, M Zitnik, H Lakkaraju arXiv preprint arXiv:2312.05690, 2023 | 1 | 2023 |
| Sa102 A MACHINE LEARNING ALGORITHM TO PREDICT GASTROINTESTINAL BLEEDING REQUIRING INTERVENTION A Allen, Y Ektefaie, A Garikipati, C Lam, A Green-Saxena, A Siefkas, ... Gastroenterology 160 (6), S-422, 2021 | 1 | 2021 |
| Drug resistance and epidemiological success of modern Mycobacterium tuberculosis lineages in western India A Dixit, Y Ektefaie, A Kagal, L Freschi, R Karyakarte, R Lokhande, ... The Journal of Infectious Diseases, jiae240, 2024 | | 2024 |
| Percent of lung involved in disease on chest X-ray predicts unfavorable treatment outcome in pulmonary tuberculosis M Ghanem, R Srivastava, Y Ektefaie, D Hoppes, G Rosenfeld, Z Yaniv, ... medRxiv, 2024.08. 19.24311411, 2024 | | 2024 |
| 1397. Modern Lineages of Mycobacterium tuberculosis Were Recently Introduced in Western India and Demonstrate Increased Transmissibility A Dixit, A Kagal, Y Ektefaie, L Freschi, R Lokhande, M Groeschel, ... Open Forum Infectious Diseases 8 (Supplement_1), S783-S784, 2021 | | 2021 |
| 1069: Enriching the Study Population for Ischemic Stroke Therapeutic Trials Using Machine Learning Y Ektefaie, S Mataraso, G Barnes, A Lynn-Palevsky, E Pellegrini, ... Critical Care Medicine 49 (1), 535, 2021 | | 2021 |
