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Rima Arnaout

Showing results (11-20 of 55) with videos related to

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Arxiv|January 20, 2025
Beyond Size and Class Balance: Alpha as a New Dataset Quality Metric for Deep LearningJosiah Couch, Rima Arnaout, Ramy Arnaout
NPJ Digital Medicine|March 5, 2019
Fast and accurate view classification of echocardiograms using deep learningAli Madani, Ramy Arnaout, Mohammad Mofrad, et al.
Journal of the American Medical Informatics Association : JAMIA|April 10, 2023
ENRICHing medical imaging training sets enables more efficient machine learningErin Chinn, Rohit Arora, Ramy Arnaout, et al.
Journal of the American College of Cardiology|January 22, 2021
Machine Learning and the Future of Cardiovascular Care: JACC State-of-the-Art ReviewGiorgio Quer, Ramy Arnaout, Michael Henne, et al.
Journal of Visualized Experiments : Jove|December 31, 2014
Recovery of adult zebrafish hearts for high-throughput applicationsRima Arnaout, Sven Reischauer, Didier Y R Stainier
Arxiv|June 10, 2025
X-Factor: Quality Is a Dataset-Intrinsic PropertyJosiah Couch, Miao Li, Rima Arnaout, et al.
Nature Communications|April 30, 2025
Self-supervised learning for label-free segmentation in cardiac ultrasoundDanielle L Ferreira, Connor Lau, Zaynaf Salaymang, et al.
Arxiv|January 13, 2025
Grade Inflation in Generative ModelsPhuc Nguyen, Miao Li, Alexandra Morgan, et al.
Physiological Reviews|May 5, 2017
LITTLE FISH, BIG DATA: ZEBRAFISH AS A MODEL FOR CARDIOVASCULAR AND METABOLIC DISEASEPhilipp Gut, Sven Reischauer, Didier Y R Stainier, et al.
Journal of the American Society of Echocardiography : Official Publication of the American Society of Echocardiography|August 29, 2024
Improving Prenatal Detection of Congenital Heart Disease With a Scalable Composite Analysis of 6 Fetal Cardiac Ultrasound BiometricsAneela Reddy, Sara Rizvi, Anita J Moon-Grady, et al.
Pageof 6

Showing results (11-20 of 55) with videos related to

Sort By:
Pageof 6
Arxiv|January 20, 2025
Beyond Size and Class Balance: Alpha as a New Dataset Quality Metric for Deep LearningJosiah Couch, Rima Arnaout, Ramy Arnaout
NPJ Digital Medicine|March 5, 2019
Fast and accurate view classification of echocardiograms using deep learningAli Madani, Ramy Arnaout, Mohammad Mofrad, et al.
Journal of the American Medical Informatics Association : JAMIA|April 10, 2023
ENRICHing medical imaging training sets enables more efficient machine learningErin Chinn, Rohit Arora, Ramy Arnaout, et al.
Journal of the American College of Cardiology|January 22, 2021
Machine Learning and the Future of Cardiovascular Care: JACC State-of-the-Art ReviewGiorgio Quer, Ramy Arnaout, Michael Henne, et al.
Journal of Visualized Experiments : Jove|December 31, 2014
Recovery of adult zebrafish hearts for high-throughput applicationsRima Arnaout, Sven Reischauer, Didier Y R Stainier
Arxiv|June 10, 2025
X-Factor: Quality Is a Dataset-Intrinsic PropertyJosiah Couch, Miao Li, Rima Arnaout, et al.
Nature Communications|April 30, 2025
Self-supervised learning for label-free segmentation in cardiac ultrasoundDanielle L Ferreira, Connor Lau, Zaynaf Salaymang, et al.
Arxiv|January 13, 2025
Grade Inflation in Generative ModelsPhuc Nguyen, Miao Li, Alexandra Morgan, et al.
Physiological Reviews|May 5, 2017
LITTLE FISH, BIG DATA: ZEBRAFISH AS A MODEL FOR CARDIOVASCULAR AND METABOLIC DISEASEPhilipp Gut, Sven Reischauer, Didier Y R Stainier, et al.
Journal of the American Society of Echocardiography : Official Publication of the American Society of Echocardiography|August 29, 2024
Improving Prenatal Detection of Congenital Heart Disease With a Scalable Composite Analysis of 6 Fetal Cardiac Ultrasound BiometricsAneela Reddy, Sara Rizvi, Anita J Moon-Grady, et al.
Pageof 6