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Roger G. Mark
Researcher at Massachusetts Institute of Technology
Publications - 186
Citations - 24786
Roger G. Mark is an academic researcher from Massachusetts Institute of Technology. The author has contributed to research in topics: Intensive care & ST segment. The author has an hindex of 48, co-authored 179 publications receiving 19120 citations. Previous affiliations of Roger G. Mark include Beth Israel Deaconess Medical Center & Brigham and Women's Hospital.
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Journal ArticleDOI
PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals.
Ary L. Goldberger,Luís A. Nunes Amaral,Leon Glass,Jeffrey M. Hausdorff,Plamen Ch. Ivanov,Roger G. Mark,Joseph E. Mietus,George B. Moody,Chung-Kang Peng,H. Eugene Stanley +9 more
TL;DR: The newly inaugurated Research Resource for Complex Physiologic Signals (RRSPS) as mentioned in this paper was created under the auspices of the National Center for Research Resources (NCR Resources).
Journal ArticleDOI
The impact of the MIT-BIH Arrhythmia Database
George B. Moody,Roger G. Mark +1 more
TL;DR: The history of the database, its contents, what is learned about database design and construction, and some of the later projects that have been stimulated by both the successes and the limitations of the MIT-BIH Arrhythmia Database are reviewed.
Proceedings ArticleDOI
A database for evaluation of algorithms for measurement of QT and other waveform intervals in the ECG
TL;DR: A QT database designed for evaluation of algorithms that detect waveform boundaries in the ECG, consisting of 105 fifteen-minute excerpts of two-channel ECG Holter recordings, chosen to include a broad variety of QRS and ST-T morphologies.
Proceedings ArticleDOI
AF classification from a short single lead ECG recording: The PhysioNet/computing in cardiology challenge 2017
Gari D. Clifford,Chengyu Liu,Benjamin Moody,Li-wei H. Lehman,Ikaro Silva,Qiao Li,Alistair E. W. Johnson,Roger G. Mark +7 more
TL;DR: A mid-competition bootstrap approach to expert relabeling of the data, levering the best performing Challenge entrants' algorithms to identify contentious labels is implemented, indicating that a voting approach can boost performance.
Journal ArticleDOI
MIMIC-CXR, a de-identified publicly available database of chest radiographs with free-text reports
Alistair E. W. Johnson,Tom J. Pollard,Seth A. Berkowitz,Nathaniel R. Greenbaum,Matthew P. Lungren,Chih-Ying Deng,Roger G. Mark,Steven Horng +7 more
TL;DR: A large dataset of 227,835 imaging studies for 65,379 patients presenting to the Beth Israel Deaconess Medical Center Emergency Department between 2011–2016 is described, making freely available to facilitate and encourage a wide range of research in computer vision, natural language processing, and clinical data mining.