| Adversarial attacks on medical machine learning SG Finlayson, JD Bowers, J Ito, JL Zittrain, AL Beam, IS Kohane Science 363 (6433), 1287-1289, 2019 | 186 | 2019 |
| Text Mining for Adverse Drug Events: the Promise, Challenges, and State of the Art R Harpaz, A Callahan, S Tamang, Y Low, D Odgers, S Finlayson, K Jung, ... Drug Safety 37 (10), 777-790, 2014 | 182 | 2014 |
| Adversarial Attacks Against Medical Deep Learning Systems SG Finlayson, IS Kohane, AL Beam arXiv preprint arXiv:1804.05296, 2018 | 91 | 2018 |
| Building the graph of medicine from millions of clinical narratives SG Finlayson, P LePendu, NH Shah Scientific Data 1, 2014 | 58 | 2014 |
| Automatic categorization and scoring of solid, part-solid and non-solid pulmonary nodules in CT images with convolutional neural network X Tu, M Xie, J Gao, Z Ma, D Chen, Q Wang, SG Finlayson, Y Ou, ... Scientific reports 7 (1), 1-10, 2017 | 28 | 2017 |
| Privacy-preserving distributed deep learning for clinical data BK Beaulieu-Jones, W Yuan, SG Finlayson, ZS Wu arXiv preprint arXiv:1812.01484, 2018 | 27 | 2018 |
| Predictability and persistence of prebiotic dietary supplementation in a healthy human cohort T Gurry, HSTM Consortium, SM Gibbons, SM Kearney, ... Scientific Reports 8 (1), 12699, 2018 | 24 | 2018 |
| Systemic nature of spinal muscular atrophy revealed by studying insurance claims SL Lipnick, DM Agniel, R Aggarwal, NR Makhortova, SG Finlayson, ... PLoS One 14 (3), e0213680, 2019 | 22 | 2019 |
| Toward rapid learning in cancer treatment selection: An analytical engine for practice-based evidence SG Finlayson, M Levy, S Reddy, DL Rubin Journal of biomedical informatics 60, 104-113, 2016 | 19 | 2016 |
| Trends and focus of machine learning applications for health research B Beaulieu-Jones, SG Finlayson, C Chivers, I Chen, M McDermott, ... JAMA network open 2 (10), e1914051-e1914051, 2019 | 18 | 2019 |
| Examining the Use of Real‐World Evidence in the Regulatory Process BK Beaulieu‐Jones, SG Finlayson, W Yuan, RB Altman, IS Kohane, ... Clinical Pharmacology & Therapeutics, 2019 | 15 | 2019 |
| Detecting unplanned care from clinician notes in electronic health records S Tamang, MI Patel, DW Blayney, J Kuznetsov, SG Finlayson, Y Vetteth, ... Journal of oncology practice 11 (3), e313-e319, 2015 | 15 | 2015 |
| Towards generative adversarial networks as a new paradigm for radiology education SG Finlayson, H Lee, IS Kohane, L Oakden-Rayner arXiv preprint arXiv:1812.01547, 2018 | 12 | 2018 |
| Subgraph neural networks E Alsentzer, SG Finlayson, MM Li, M Zitnik arXiv preprint arXiv:2006.10538, 2020 | 7 | 2020 |
| Data Preparation T Pollard, F Dernoncourt, SG Finlayson, A Velasquez Secondary Analysis of Electronic Health Records, 101-114, 2016 | 4 | 2016 |
| Potential adverse effects of broad-spectrum antimicrobial exposure in the intensive care unit J Wiens, GM Snyder, S Finlayson, MV Mahoney, LA Celi Open forum infectious diseases 5 (2), ofx270, 2018 | 3 | 2018 |
| Machine Learning for Health (ML4H) 2019: What Makes Machine Learning in Medicine Different? AV Dalca, MBA McDermott, E Alsentzer, SG Finlayson, M Oberst, F Falck, ... Machine Learning for Health Workshop, 1-9, 2020 | 2 | 2020 |
| Cross-modal representation alignment of molecular structure and perturbation-induced transcriptional profiles SG Finlayson, MBA McDermott, AV Pickering, SL Lipnick, IS Kohane arXiv preprint arXiv:1911.10241, 2019 | 2 | 2019 |
| Approaching Small Molecule Prioritization as a Cross-Modal Information Retrieval Task through Coordinated Representation Learning SG Finlayson, MBA McDermott, AV Pickering, SL Lipnick, W Yuan, ... arXiv preprint arXiv:1911.10241, 2019 | 1 | 2019 |
| Learning Inductive Representations of Biomedical Data SG Finlayson Harvard University, 2020 | | 2020 |
Isaac KohaneHarvard Medical School, Children's Hospital, Brigham and Women's HospitalVerified email at hms.harvard.edu
