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Geoffrey H Tison

Showing results (1-10 of 75) with videos related to

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JAMA Cardiology|February 10, 2021
Finding New Meaning in Everyday Electrocardiograms-Leveraging Deep Learning to Expand Our Diagnostic ToolkitGeoffrey H Tison
Cell Reports. Medicine|February 2, 2022
Using machine learning to uncover heterogeneity of beta blocker response in heart failureGeoffrey H Tison
The Lancet. Digital Health|December 16, 2020
Will the smartphone become a useful tool to promote physical activity?Geoffrey H Tison, Gregory M Marcus
Cell Reports. Medicine|December 21, 2022
Advancing cardiovascular medicine with machine learning: Progress, potential, and perspectiveJoshua P Barrios, Geoffrey H Tison
The Canadian Journal of Cardiology|July 7, 2020
The Rise of Open-Sourced Machine Learning in Small and Imbalanced Datasets: Predicting In-Stent RestenosisRobert Avram, Jeffrey E Olgin, Geoffrey H Tison
Atherosclerosis|December 7, 2010
Atherosclerosis imaging in multiple vascular beds--enough heterogeneity to improve risk prediction?Geoffrey H Tison, Michael J Blaha, Khurram Nasir
European Heart Journal. Digital Health|July 24, 2025
A deep foundation model for electrocardiogram interpretation: enabling rare disease detection through transfer learningStephanie M Hu, Joshua P Barrios, Geoffrey H Tison
JACC. Cardiooncology|May 22, 2024
Artificial Intelligence to Complement, Not Replace, Clinical Knowledge: Reading Between the LinesJoshua P Barrios, Madhav R Seshadri, Geoffrey H Tison
Methodist Debakey Cardiovascular Journal|July 17, 2020
Artificial Intelligence in Cardiovascular ImagingLisa J Lim, Geoffrey H Tison, Francesca N Delling
Transfusion|September 21, 2007
Influences of general and traditional Chinese beliefs on the decision to donate blood among employer-organized and volunteer donors in Beijing, ChinaGeoffrey H Tison, Changli Liu, Furong Ren, et al.
Pageof 8

Showing results (1-10 of 75) with videos related to

Sort By:
Pageof 8
JAMA Cardiology|February 10, 2021
Finding New Meaning in Everyday Electrocardiograms-Leveraging Deep Learning to Expand Our Diagnostic ToolkitGeoffrey H Tison
Cell Reports. Medicine|February 2, 2022
Using machine learning to uncover heterogeneity of beta blocker response in heart failureGeoffrey H Tison
The Lancet. Digital Health|December 16, 2020
Will the smartphone become a useful tool to promote physical activity?Geoffrey H Tison, Gregory M Marcus
Cell Reports. Medicine|December 21, 2022
Advancing cardiovascular medicine with machine learning: Progress, potential, and perspectiveJoshua P Barrios, Geoffrey H Tison
The Canadian Journal of Cardiology|July 7, 2020
The Rise of Open-Sourced Machine Learning in Small and Imbalanced Datasets: Predicting In-Stent RestenosisRobert Avram, Jeffrey E Olgin, Geoffrey H Tison
Atherosclerosis|December 7, 2010
Atherosclerosis imaging in multiple vascular beds--enough heterogeneity to improve risk prediction?Geoffrey H Tison, Michael J Blaha, Khurram Nasir
European Heart Journal. Digital Health|July 24, 2025
A deep foundation model for electrocardiogram interpretation: enabling rare disease detection through transfer learningStephanie M Hu, Joshua P Barrios, Geoffrey H Tison
JACC. Cardiooncology|May 22, 2024
Artificial Intelligence to Complement, Not Replace, Clinical Knowledge: Reading Between the LinesJoshua P Barrios, Madhav R Seshadri, Geoffrey H Tison
Methodist Debakey Cardiovascular Journal|July 17, 2020
Artificial Intelligence in Cardiovascular ImagingLisa J Lim, Geoffrey H Tison, Francesca N Delling
Transfusion|September 21, 2007
Influences of general and traditional Chinese beliefs on the decision to donate blood among employer-organized and volunteer donors in Beijing, ChinaGeoffrey H Tison, Changli Liu, Furong Ren, et al.
Pageof 8