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M Narayan

Showing results (301-310 of 409) with videos related to

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Diabetes Care|October 27, 2001
Performance of recommended screening tests for undiagnosed diabetes and dysglycemiaD B Rolka, K M Narayan, T J Thompson, et al.
Ebiomedicine|February 11, 2023
Machine learning of electrophysiological signals for the prediction of ventricular arrhythmias: systematic review and examination of heterogeneity between studiesMaarten Z H Kolk, Brototo Deb, Samuel Ruipérez-Campillo, et al.
Journal of Cardiovascular Electrophysiology|June 5, 2010
Accurate ECG diagnosis of atrial tachyarrhythmias using quantitative analysis: a prospective diagnostic and cost-effectiveness studyDavid E Krummen, Mitul Patel, Hong Nguyen, et al.
JAMA|February 5, 1998
Comparison of paroxetine and nortriptyline in depressed patients with ischemic heart diseaseS P Roose, F Laghrissi-Thode, J S Kennedy, et al.
Journal of the American College of Cardiology|July 1, 2017
Treating Specialty and Outcomes in Newly Diagnosed Atrial Fibrillation: From the TREAT-AF StudyAlexander C Perino, Jun Fan, Susan K Schmitt, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|November 1, 1996
Comparison of technetium-99m-HMPAO and technetium-99m-ECD cerebral SPECT images in Alzheimer's diseaseC H van Dyck, C H Lin, E O Smith, et al.
Circulation. Arrhythmia and Electrophysiology|July 8, 2020
Machine Learning to Classify Intracardiac Electrical Patterns During Atrial Fibrillation: Machine Learning of Atrial FibrillationMahmood I Alhusseini, Firas Abuzaid, Albert J Rogers, et al.
Journal of the American College of Cardiology|September 17, 2011
Microvolt T-wave alternans physiological basis, methods of measurement, and clinical utility--consensus guideline by International Society for Holter and Noninvasive ElectrocardiologyRichard L Verrier, Thomas Klingenheben, Marek Malik, et al.
Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology|March 18, 2023
Quantifying a spectrum of clinical response in atrial tachyarrhythmias using spatiotemporal synchronization of electrogramsPrasanth Ganesan, Brototo Deb, Ruibin Feng, et al.
Circulation. Arrhythmia and Electrophysiology|July 22, 2022
Machine Learning-Enabled Multimodal Fusion of Intra-Atrial and Body Surface Signals in Prediction of Atrial Fibrillation Ablation OutcomesSiyi Tang, Orod Razeghi, Ridhima Kapoor, et al.
Pageof 41

Showing results (301-310 of 409) with videos related to

Sort By:
Pageof 41
Diabetes Care|October 27, 2001
Performance of recommended screening tests for undiagnosed diabetes and dysglycemiaD B Rolka, K M Narayan, T J Thompson, et al.
Ebiomedicine|February 11, 2023
Machine learning of electrophysiological signals for the prediction of ventricular arrhythmias: systematic review and examination of heterogeneity between studiesMaarten Z H Kolk, Brototo Deb, Samuel Ruipérez-Campillo, et al.
Journal of Cardiovascular Electrophysiology|June 5, 2010
Accurate ECG diagnosis of atrial tachyarrhythmias using quantitative analysis: a prospective diagnostic and cost-effectiveness studyDavid E Krummen, Mitul Patel, Hong Nguyen, et al.
JAMA|February 5, 1998
Comparison of paroxetine and nortriptyline in depressed patients with ischemic heart diseaseS P Roose, F Laghrissi-Thode, J S Kennedy, et al.
Journal of the American College of Cardiology|July 1, 2017
Treating Specialty and Outcomes in Newly Diagnosed Atrial Fibrillation: From the TREAT-AF StudyAlexander C Perino, Jun Fan, Susan K Schmitt, et al.
Journal of Nuclear Medicine : Official Publication, Society of Nuclear Medicine|November 1, 1996
Comparison of technetium-99m-HMPAO and technetium-99m-ECD cerebral SPECT images in Alzheimer's diseaseC H van Dyck, C H Lin, E O Smith, et al.
Circulation. Arrhythmia and Electrophysiology|July 8, 2020
Machine Learning to Classify Intracardiac Electrical Patterns During Atrial Fibrillation: Machine Learning of Atrial FibrillationMahmood I Alhusseini, Firas Abuzaid, Albert J Rogers, et al.
Journal of the American College of Cardiology|September 17, 2011
Microvolt T-wave alternans physiological basis, methods of measurement, and clinical utility--consensus guideline by International Society for Holter and Noninvasive ElectrocardiologyRichard L Verrier, Thomas Klingenheben, Marek Malik, et al.
Europace : European Pacing, Arrhythmias, and Cardiac Electrophysiology : Journal of the Working Groups on Cardiac Pacing, Arrhythmias, and Cardiac Cellular Electrophysiology of the European Society of Cardiology|March 18, 2023
Quantifying a spectrum of clinical response in atrial tachyarrhythmias using spatiotemporal synchronization of electrogramsPrasanth Ganesan, Brototo Deb, Ruibin Feng, et al.
Circulation. Arrhythmia and Electrophysiology|July 22, 2022
Machine Learning-Enabled Multimodal Fusion of Intra-Atrial and Body Surface Signals in Prediction of Atrial Fibrillation Ablation OutcomesSiyi Tang, Orod Razeghi, Ridhima Kapoor, et al.
Pageof 41