Matthew B. A. McDermott

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Dr. Marzyeh GhassemiAssociate Professor, EECS/IMES, MITEmail verificata su mit.edu
Tristan NaumannPrincipal Researcher, Microsoft Research Health FuturesEmail verificata su microsoft.com
Emily AlsentzerAssistant Professor, Stanford UniversityEmail verificata su stanford.edu
Peter SzolovitsProfessor of Computer Science and Engineering, MITEmail verificata su mit.edu
William BoagMassachusetts Institute of TechnologyEmail verificata su mit.edu
Wei-Hung WengGoogle ResearchEmail verificata su mit.edu
Irene Y. ChenAssistant Professor, UC Berkeley and UC San FranciscoEmail verificata su berkeley.edu
Di JinSenior Research Scientist, Meta GenAIEmail verificata su mit.edu
Laleh Seyyed-KalantariAssistant Professor, York University, Vector InstituteEmail verificata su yorku.ca
Bret NestorPostdoctoral Researcher, University of WashingtonEmail verificata su cs.washington.edu
Tzu-Ming Harry HsuMassachusetts Institute of TechnologyEmail verificata su mit.edu
Haoran ZhangPhD Student, Massachusetts Institute of TechnologyEmail verificata su mit.edu
Geeticka ChauhanGoogle DeepMindEmail verificata su mit.edu
Guanxiong LiuUniversity of TorontoEmail verificata su cs.toronto.edu
Michael C. HughesAssistant Professor of Computer Science, Tufts UniversityEmail verificata su michaelchughes.com
Rajesh RanganathAssistant Professor, NYUEmail verificata su cs.princeton.edu
Luca FoschiniPresident & CEO, Sage BionetworksEmail verificata su sagebionetworks.org
Anna GoldenbergScientist, SickKids Research Institute; Assistant Professor Department of Computer Science, University of TorontoEmail verificata su utoronto.ca
Samuel G. FinlaysonMD-PhD. Pediatrics-Genetics Resident at UW/Seattle Children'sEmail verificata su seattlechildrens.org
Adrian V DalcaHarvard Medical School & Massachusetts Institute of TechnologyEmail verificata su mit.edu

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Matthew B. A. McDermott

Postdoctoral Researcher, Harvard Medical School, Department of Biomedical Informatics

Email verificata su hms.harvard.edu

Machine Learning Biomedical Informatics


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
Publicly available clinical BERT embeddings E Alsentzer, JR Murphy, W Boag, WH Weng, D Jin, T Naumann, ... Proceedings of the 2nd Clinical Natural Language Processing Workshop 2 (W19 …, 2019	2581	2019
Underdiagnosis bias of artificial intelligence algorithms applied to chest radiographs in under-served patient populations L Seyyed-Kalantari, H Zhang, MBA McDermott, IY Chen, M Ghassemi Nature medicine 27 (12), 2176-2182, 2021	575	2021
CheXclusion: Fairness gaps in deep chest X-ray classifiers L Seyyed-Kalantari, G Liu, M McDermott, IY Chen, M Ghassemi BIOCOMPUTING 2021: proceedings of the Pacific symposium, 232-243, 2020	337	2020
Clinically accurate chest x-ray report generation G Liu, TMH Hsu, M McDermott, W Boag, WH Weng, P Szolovits, ... Machine Learning for Healthcare Conference, 249-269, 2019	317	2019
Reproducibility in machine learning for health research: Still a ways to go MBA McDermott, S Wang, N Marinsek, R Ranganath, L Foschini, ... Science Translational Medicine 13 (586), eabb1655, 2021	285*	2021
Mimic-extract: A data extraction, preprocessing, and representation pipeline for mimic-iii S Wang, MBA McDermott, G Chauhan, M Ghassemi, MC Hughes, ... Proceedings of the ACM conference on health, inference, and learning, 222-235, 2020	273	2020
Hurtful words: quantifying biases in clinical contextual word embeddings H Zhang, AX Lu, M Abdalla, M McDermott, M Ghassemi proceedings of the ACM Conference on Health, Inference, and Learning, 110-120, 2020	213	2020
Rethinking clinical prediction: why machine learning must consider year of care and feature aggregation B Nestor, M McDermott, G Chauhan, T Naumann, MC Hughes, ... Proceedings of the 4th Machine Learning for Healthcare Conference 106, 381-405, 2019	202*	2019
Baselines for chest x-ray report generation W Boag, TMH Hsu, M McDermott, G Berner, E Alesentzer, P Szolovits Machine learning for health workshop, 126-140, 2020	74	2020
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	69	2019
A comprehensive EHR timeseries pre-training benchmark M McDermott, B Nestor, E Kim, W Zhang, A Goldenberg, P Szolovits, ... Proceedings of the Conference on Health, Inference, and Learning, 257-278, 2021	68*	2021
Unsupervised multimodal representation learning across medical images and reports TMH Hsu, WH Weng, W Boag, M McDermott, P Szolovits arXiv preprint arXiv:1811.08615, 2018	50	2018
Meta-learning to improve pre-training A Raghu, J Lorraine, S Kornblith, M McDermott, DK Duvenaud Advances in Neural Information Processing Systems 34, 23231-23244, 2021	39	2021
Chexpert++: Approximating the chexpert labeler for speed, differentiability, and probabilistic output MBA McDermott, TMH Hsu, WH Weng, M Ghassemi, P Szolovits Machine Learning for Healthcare Conference, 913-927, 2020	38	2020
Semi-supervised biomedical translation with cycle wasserstein regression GANs M McDermott, T Yan, T Naumann, N Hunt, HS Suresh, P Szolovits, ... AAAI Conference on Artificial Intelligence 32, 2363-2370, 2018	36	2018
APPRAISE-AI tool for quantitative evaluation of AI studies for clinical decision support JCC Kwong, A Khondker, K Lajkosz, MBA McDermott, XB Frigola, ... JAMA Network Open 6 (9), e2335377-e2335377, 2023	34	2023
A closer look at auroc and auprc under class imbalance M McDermott, H Zhang, L Hansen, G Angelotti, J Gallifant Advances in Neural Information Processing Systems 37, 44102-44163, 2024	29	2024
Event Stream GPT: a data pre-processing and modeling library for generative, pre-trained transformers over continuous-time sequences of complex events M McDermott, B Nestor, P Argaw, IS Kohane Advances in Neural Information Processing Systems 36, 24322-24334, 2023	26	2023
Modeling the role of negative cooperativity in metabolic regulation and homeostasis EC Bush, AE Clark, CM DeBoever, LE Haynes, S Hussain, S Ma, ... PLoS One 7 (11), e48920, 2012	25	2012
Deep learning benchmarks on L1000 gene expression data MBA McDermott, J Wang, WN Zhao, SD Sheridan, P Szolovits, I Kohane, ... IEEE/ACM transactions on computational biology and bioinformatics 17 (6 …, 2019	20	2019

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