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Showing results (431-440 of 483) with videos related to

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Heart Rhythm|May 1, 2024
Automated interpretations of single-lead electrocardiograms predict incident atrial fibrillation: The VITAL-AF trialDaniel C Pipilas, Shaan Khurshid, Mostafa A Al-Alusi, et al.
JACC. Clinical Electrophysiology|November 23, 2019
Development and Validation of a Prediction Model for Atrial Fibrillation Using Electronic Health RecordsOlivia L Hulme, Shaan Khurshid, Lu-Chen Weng, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 15, 1998
Neural basis of an inherited speech and language disorderF Vargha-Khadem, K E Watkins, C J Price, et al.
Journal of the American Heart Association|December 29, 2023
Characteristics and Attitudes of Wearable Device Users and Nonusers in a Large Health Care SystemRachael A Venn, Shaan Khurshid, Mia Grayson, et al.
Neuroimage|January 25, 2019
hMRI - A toolbox for quantitative MRI in neuroscience and clinical researchKarsten Tabelow, Evelyne Balteau, John Ashburner, et al.
Medrxiv : the Preprint Server for Health Sciences|August 23, 2023
Characteristics and Attitudes of Wearable Device Users and Non-Users in a Large Healthcare SystemRachael A Venn, Shaan Khurshid, Mia Grayson, et al.
American Heart Journal|July 14, 2023
Accuracy and variability of cardiologist interpretation of single lead electrocardiograms for atrial fibrillation: The VITAL-AF trialDaniel C Pipilas, Shaan Khurshid, Steven J Atlas, et al.
Stroke|December 10, 2020
Automated Electronic Phenotyping of Cardioembolic StrokeWyliena Guan, Darae Ko, Shaan Khurshid, et al.
Frontiers in Neuroscience|June 2, 2015
Objective Bayesian fMRI analysis-a pilot study in different clinical environmentsJoerg Magerkurth, Laura Mancini, William Penny, et al.
Data in Brief|July 13, 2019
Example dataset for the hMRI toolboxMartina F Callaghan, Antoine Lutti, John Ashburner, et al.
Pageof 49

Showing results (431-440 of 483) with videos related to

Sort By:
Pageof 49
Heart Rhythm|May 1, 2024
Automated interpretations of single-lead electrocardiograms predict incident atrial fibrillation: The VITAL-AF trialDaniel C Pipilas, Shaan Khurshid, Mostafa A Al-Alusi, et al.
JACC. Clinical Electrophysiology|November 23, 2019
Development and Validation of a Prediction Model for Atrial Fibrillation Using Electronic Health RecordsOlivia L Hulme, Shaan Khurshid, Lu-Chen Weng, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 15, 1998
Neural basis of an inherited speech and language disorderF Vargha-Khadem, K E Watkins, C J Price, et al.
Journal of the American Heart Association|December 29, 2023
Characteristics and Attitudes of Wearable Device Users and Nonusers in a Large Health Care SystemRachael A Venn, Shaan Khurshid, Mia Grayson, et al.
Neuroimage|January 25, 2019
hMRI - A toolbox for quantitative MRI in neuroscience and clinical researchKarsten Tabelow, Evelyne Balteau, John Ashburner, et al.
Medrxiv : the Preprint Server for Health Sciences|August 23, 2023
Characteristics and Attitudes of Wearable Device Users and Non-Users in a Large Healthcare SystemRachael A Venn, Shaan Khurshid, Mia Grayson, et al.
American Heart Journal|July 14, 2023
Accuracy and variability of cardiologist interpretation of single lead electrocardiograms for atrial fibrillation: The VITAL-AF trialDaniel C Pipilas, Shaan Khurshid, Steven J Atlas, et al.
Stroke|December 10, 2020
Automated Electronic Phenotyping of Cardioembolic StrokeWyliena Guan, Darae Ko, Shaan Khurshid, et al.
Frontiers in Neuroscience|June 2, 2015
Objective Bayesian fMRI analysis-a pilot study in different clinical environmentsJoerg Magerkurth, Laura Mancini, William Penny, et al.
Data in Brief|July 13, 2019
Example dataset for the hMRI toolboxMartina F Callaghan, Antoine Lutti, John Ashburner, et al.
Pageof 49