Samuel G. Finlayson

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	Wszystkie	Od 2018
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Isaac KohaneHarvard Medical School, Children's Hospital, Brigham and Women's HospitalZweryfikowany adres z hms.harvard.edu
Andrew L. BeamAssistant Professor, Harvard UniversityZweryfikowany adres z hms.harvard.edu
Nigam ShahProfessor of Medicine, and Biomedical Data Science, Stanford UniversityZweryfikowany adres z stanford.edu
Jonathan ZittrainGeorge Bemis Professor of Law and Professor of Computer Science, Harvard UniversityZweryfikowany adres z law.harvard.edu
Brett Beaulieu-JonesUniversity of ChicagoZweryfikowany adres z uchicago.edu
Suzanne R. TamangStanford University School of MedicineZweryfikowany adres z stanford.edu
Paea LePenduUniversity of California, RiversideZweryfikowany adres z ucr.edu
Joichi ItoDirector, Center for Radical Transformation, Chiba Institute of TechnologyZweryfikowany adres z p.chibakoudai.jp
Matthew B. A. McDermottPostdoctoral Researcher, Harvard Medical School, Department of Biomedical InformaticsZweryfikowany adres z hms.harvard.edu
Emily AlsentzerPhD Student, MITZweryfikowany adres z mit.edu
Rave HarpazSenior Director, Oracle Health SciencesZweryfikowany adres z oracle.com
Alison CallahanStanford UniversityZweryfikowany adres z stanford.edu
Yen Sia LowStanford UniversityZweryfikowany adres z stanford.edu
Hyung Won ChungGoogle BrainZweryfikowany adres z google.com
Adarsh SubbaswamyPhD candidate, Johns Hopkins UniversityZweryfikowany adres z jhu.edu
Karandeep SinghAssistant Professor of Learning Health Sciences, Internal Medicine, Urology, and InformationZweryfikowany adres z umich.edu
Dr. Suchi SariaJohn C. Malone Associate Professor of Computer Science, Statistics, Health Policy, Johns HopkinsZweryfikowany adres z cs.jhu.edu
Michelle M. LiPhD Candidate, Harvard Medical SchoolZweryfikowany adres z g.harvard.edu
Corey ChiversUniversity of Pennsylvania Health SystemZweryfikowany adres z pennmedicine.upenn.edu
Tristan NaumannPrincipal Researcher, Microsoft Research Health FuturesZweryfikowany adres z microsoft.com

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Samuel G. Finlayson

MD-PhD. Pediatrics-Genetics Resident at UW/Seattle Children's

Zweryfikowany adres z seattlechildrens.org - Strona główna

Machine Learning Informatics Pediatrics Rare Disease


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Adversarial attacks on medical machine learning SG Finlayson, JD Bowers, J Ito, JL Zittrain, AL Beam, IS Kohane Science 363 (6433), 1287-1289, 2019	567	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	226	2014
Adversarial Attacks Against Medical Deep Learning Systems SG Finlayson, IS Kohane, AL Beam arXiv preprint arXiv:1804.05296, 2018	191	2018
The clinician and dataset shift in artificial intelligence SG Finlayson, A Subbaswamy, K Singh, J Bowers, A Kupke, J Zittrain, ... New England Journal of Medicine 385 (3), 283-286, 2021	151	2021
Building the graph of medicine from millions of clinical narratives SG Finlayson, P LePendu, NH Shah Scientific Data 1, 2014	80	2014
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	77	2019
Code-free deep learning for multi-modality medical image classification E Korot, Z Guan, D Ferraz, SK Wagner, G Zhang, X Liu, L Faes, ... Nature Machine Intelligence 3 (4), 288-298, 2021	62	2021
Subgraph neural networks E Alsentzer, SG Finlayson, MM Li, M Zitnik Advances in Neural Information Processing Systems (NeurIPS 2020), 2020	59	2020
Privacy-preserving distributed deep learning for clinical data BK Beaulieu-Jones, W Yuan, SG Finlayson, ZS Wu NeurIPS Machine Learning for Healthcare Workshop 2018, 2018	48	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	47	2019
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	43	2019
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	40	2017
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	36	2018
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	33	2016
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	22	2015
Towards generative adversarial networks as a new paradigm for radiology education SG Finlayson, H Lee, IS Kohane, L Oakden-Rayner NeurIPS Machine Learning for Healthcare Workshop 2018, 2018	19	2018
Potential adverse effects of broad-spectrum antimicrobial exposure in the intensive care unit J Wiens, GM Snyder, SG Finlayson, MV Mahoney, LA Celi Open forum infectious diseases 5 (2), ofx270, 2018	9	2018
Data Preparation T Pollard, F Dernoncourt, SG Finlayson, A Velasquez Secondary Analysis of Electronic Health Records, 101-114, 2016	8	2016
Cross-modal representation alignment of molecular structure and perturbation-induced transcriptional profiles SG Finlayson, MBA McDermott, AV Pickering, SL Lipnick, IS Kohane Pacific Symposium on Biocomputing 2021, 2021	7*	2021
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	4	2020

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