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M Narayan

Showing results (211-220 of 409) with videos related to

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Frontiers in Oncology|April 1, 2024
Mechanism of action of nadofaragene firadenovec-vncgVikram M Narayan, Joshua J Meeks, Jørn S Jakobsen, et al.
Journal of Cardiovascular Electrophysiology|January 4, 2014
Intermittent atrial tachycardia promotes repolarization alternans and conduction slowing during rapid rates, and increases susceptibility to atrial fibrillation in a free-behaving sheep modelJoanna Monigatti-Tenkorang, Florian Jousset, Patrizio Pascale, et al.
Circulation. Heart Failure|December 21, 2023
Race, Sex, and Age Disparities in the Performance of ECG Deep Learning Models Predicting Heart FailureDhamanpreet Kaur, J Weston Hughes, Albert J Rogers, et al.
Computers in Biology and Medicine|April 16, 2022
Atrial fibrillation signatures on intracardiac electrograms identified by deep learningMiguel Rodrigo, Mahmood I Alhusseini, Albert J Rogers, et al.
The American Journal of Psychiatry|August 31, 2007
Regional cortical thinning in subjects with violent antisocial personality disorder or schizophreniaVeena M Narayan, Katherine L Narr, Veena Kumari, et al.
Urologic Oncology|February 2, 2019
The impact of squamous histology on survival in patients with muscle-invasive bladder cancerJustin T Matulay, Solomon L Woldu, Amy Lim, et al.
Population Research and Policy Review|June 14, 2011
Region of Birth and Disability Among Recent U.S. Immigrants: Evidence from the 2000 CensusCheng Huang, Neil K Mehta, Irma T Elo, et al.
JCO Clinical Cancer Informatics|October 31, 2023
Evaluation of a Natural Language Processing Model to Identify and Characterize Patients in the United States With High-Risk Non-Muscle-Invasive Bladder CancerVikram M Narayan, Despina Siolas, Eric S Meadows, et al.
Nature Reviews. Cardiology|October 10, 2020
Integration of novel monitoring devices with machine learning technology for scalable cardiovascular managementChayakrit Krittanawong, Albert J Rogers, Kipp W Johnson, et al.
British Journal of Pharmacology|July 16, 2020
Populations of in silico myocytes and tissues reveal synergy of multiatrial-predominant K<sup>+</sup> -current block in atrial fibrillationHaibo Ni, Alex Fogli Iseppe, Wayne R Giles, et al.
Pageof 41

Showing results (211-220 of 409) with videos related to

Sort By:
Pageof 41
Frontiers in Oncology|April 1, 2024
Mechanism of action of nadofaragene firadenovec-vncgVikram M Narayan, Joshua J Meeks, Jørn S Jakobsen, et al.
Journal of Cardiovascular Electrophysiology|January 4, 2014
Intermittent atrial tachycardia promotes repolarization alternans and conduction slowing during rapid rates, and increases susceptibility to atrial fibrillation in a free-behaving sheep modelJoanna Monigatti-Tenkorang, Florian Jousset, Patrizio Pascale, et al.
Circulation. Heart Failure|December 21, 2023
Race, Sex, and Age Disparities in the Performance of ECG Deep Learning Models Predicting Heart FailureDhamanpreet Kaur, J Weston Hughes, Albert J Rogers, et al.
Computers in Biology and Medicine|April 16, 2022
Atrial fibrillation signatures on intracardiac electrograms identified by deep learningMiguel Rodrigo, Mahmood I Alhusseini, Albert J Rogers, et al.
The American Journal of Psychiatry|August 31, 2007
Regional cortical thinning in subjects with violent antisocial personality disorder or schizophreniaVeena M Narayan, Katherine L Narr, Veena Kumari, et al.
Urologic Oncology|February 2, 2019
The impact of squamous histology on survival in patients with muscle-invasive bladder cancerJustin T Matulay, Solomon L Woldu, Amy Lim, et al.
Population Research and Policy Review|June 14, 2011
Region of Birth and Disability Among Recent U.S. Immigrants: Evidence from the 2000 CensusCheng Huang, Neil K Mehta, Irma T Elo, et al.
JCO Clinical Cancer Informatics|October 31, 2023
Evaluation of a Natural Language Processing Model to Identify and Characterize Patients in the United States With High-Risk Non-Muscle-Invasive Bladder CancerVikram M Narayan, Despina Siolas, Eric S Meadows, et al.
Nature Reviews. Cardiology|October 10, 2020
Integration of novel monitoring devices with machine learning technology for scalable cardiovascular managementChayakrit Krittanawong, Albert J Rogers, Kipp W Johnson, et al.
British Journal of Pharmacology|July 16, 2020
Populations of in silico myocytes and tissues reveal synergy of multiatrial-predominant K<sup>+</sup> -current block in atrial fibrillationHaibo Ni, Alex Fogli Iseppe, Wayne R Giles, et al.
Pageof 41