| Estimation of the warfarin dose with clinical and pharmacogenetic data International Warfarin Pharmacogenetics Consortium New England Journal of Medicine 360 (8), 753-764, 2009 | 1820 | 2009 |
| Clinical assessment incorporating a personal genome EA Ashley, AJ Butte, MT Wheeler, R Chen, TE Klein, FE Dewey, ... The Lancet 375 (9725), 1525-1535, 2010 | 803 | 2010 |
| Warfarin pharmacogenetics: a single VKORC1 polymorphism is predictive of dose across 3 racial groups NA Limdi, M Wadelius, L Cavallari, N Eriksson, DC Crawford, MTM Lee, ... Blood, The Journal of the American Society of Hematology 115 (18), 3827-3834, 2010 | 402 | 2010 |
| Genetic variants associated with warfarin dose in African-American individuals: a genome-wide association study MA Perera, LH Cavallari, NA Limdi, ER Gamazon, A Konkashbaev, ... The Lancet 382 (9894), 790-796, 2013 | 304 | 2013 |
| VKORC1 pharmacogenomics summary RP Owen, L Gong, H Sagreiya, TE Klein, RB Altman Pharmacogenetics and genomics 20 (10), 642-644, 2010 | 152 | 2010 |
| Extending and evaluating a warfarin dosing algorithm that includes CYP4F2 and pooled rare variants of CYP2C9 H Sagrieya, C Berube, A Wen, R Ramakrishnan, A Mir, A Hamilton, ... Pharmacogenetics and genomics 20 (7), 407-413, 2010 | 96 | 2010 |
| Impact of the CYP4F2 p.V433M Polymorphism on Coumarin Dose Requirement: Systematic Review and MetaAnalysis E Danese, M Montagnana, JA Johnson, AE Rettie, CF Zambon, SA Lubitz, ... Clinical Pharmacology & Therapeutics 92 (6), 746-756, 2012 | 86 | 2012 |
| Cross-modal data programming enables rapid medical machine learning JA Dunnmon, AJ Ratner, K Saab, N Khandwala, M Markert, H Sagreiya, ... Patterns 1 (2), 2020 | 55 | 2020 |
| Effect of CYP4F2, VKORC1, and CYP2C9 in Influencing Coumarin Dose: A SinglePatient Data MetaAnalysis in More Than 15,000 Individuals E Danese, S Raimondi, M Montagnana, A Tagetti, T Langaee, P Borgiani, ... Clinical Pharmacology & Therapeutics 105 (6), 1477-1491, 2019 | 34 | 2019 |
| Pathway analysis of genome-wide data improves warfarin dose prediction R Daneshjou, NP Tatonetti, KJ Karczewski, H Sagreiya, S Bourgeois, ... BMC genomics 14, 1-12, 2013 | 31 | 2013 |
| Doubly weak supervision of deep learning models for head CT K Saab, J Dunnmon, R Goldman, A Ratner, H Sagreiya, C Ré, D Rubin Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 26 | 2019 |
| Liver Imaging Reporting and Data System (LI-RADS) v2018: diagnostic value of ancillary features favoring malignancy in hypervascular observations≥ 10 mm at intermediate (LR-3 … R Cannella, F Vernuccio, H Sagreiya, KR Choudhury, N Iranpour, D Marin, ... European Radiology 30, 3770-3781, 2020 | 24 | 2020 |
| International Warfarin Pharmacogenetics Consortium: Warfarin pharmacogenetics: a single VKORC1 polymorphism is predictive of dose across 3 racial groups NA Limdi, M Wadelius, L Cavallari, N Eriksson, DC Crawford, MT Lee, ... Blood 115 (18), 3827-3834, 2010 | 24 | 2010 |
| Differences in antipsychotic-related adverse events in adult, pediatric, and geriatric populations H Sagreiya, YR Chen, NA Kumarasamy, K Ponnusamy, D Chen, AK Das Cureus 9 (2), 2017 | 21 | 2017 |
| The utility of general purpose versus specialty clinical databases for research: warfarin dose estimation from extracted clinical variables H Sagreiya, RB Altman Journal of biomedical informatics 43 (5), 747-751, 2010 | 21 | 2010 |
| An integrative method for scoring candidate genes from association studies: application to warfarin dosing NP Tatonetti, JT Dudley, H Sagreiya, AJ Butte, RB Altman BMC bioinformatics 11, 1-7, 2010 | 21 | 2010 |
| Explaining the footsteps, belly dancer, Wenceslas, and kickback illusions PDL Howe, PG Thompson, SM Anstis, H Sagreiya, MS Livingstone Journal of vision 6 (12), 5-5, 2006 | 21 | 2006 |
| Automatic inference of BI-RADS final assessment categories from narrative mammography report findings I Banerjee, S Bozkurt, E Alkim, H Sagreiya, AW Kurian, DL Rubin Journal of biomedical informatics 92, 103137, 2019 | 19 | 2019 |
| Cross-modal data programming enables rapid medical machine learning J Dunnmon, A Ratner, N Khandwala, K Saab, M Markert, H Sagreiya, ... arXiv preprint arXiv:1903.11101, 2019 | 18 | 2019 |
| Quantification of abdominal fat from computed tomography using deep learning and its association with electronic health records in an academic biobank MT MacLean, Q Jehangir, M Vujkovic, YA Ko, H Litt, A Borthakur, ... Journal of the American Medical Informatics Association 28 (6), 1178-1187, 2021 | 16 | 2021 |
