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Journal of Thoracic Imaging|May 27, 2020
Four-dimensional Flow Magnetic Resonance Imaging Quantification of Blood Flow in Bicuspid Aortic ValveDaniel Z Gordon, Muhannad A Abbasi, Jeesoo Lee, et al.Frontiers in Cardiovascular Medicine|September 2, 2022
Predicting post-contrast information from contrast agent free cardiac MRI using machine learning: Challenges and methodsMusa Abdulkareem, Asmaa A Kenawy, Elisa Rauseo, et al.Journal of Cardiovascular Magnetic Resonance : Official Journal of the Society for Cardiovascular Magnetic Resonance|April 12, 2022
Assessment of right ventricular size and function from cardiovascular magnetic resonance images using artificial intelligenceShuo Wang, Daksh Chauhan, Hena Patel, et al.Pediatric Cardiology|January 4, 2021
Retraining Convolutional Neural Networks for Specialized Cardiovascular Imaging Tasks: Lessons from Tetralogy of FallotAnimesh Tandon, Navina Mohan, Cory Jensen, et al.Neuroradiology|May 23, 2022
Validation of a machine learning software tool for automated large vessel occlusion detection in patients with suspected acute strokePetra Cimflova, Rotem Golan, Johanna M Ospel, et al.Frontiers in Cardiovascular Medicine|March 4, 2022
A Systematic Quality Scoring Analysis to Assess Automated Cardiovascular Magnetic Resonance Segmentation AlgorithmsElisa Rauseo, Muhammad Omer, Alborz Amir-Khalili, et al.IEEE Journal of Biomedical and Health Informatics|April 17, 2023
Deep Learning Segmentation of the Right Ventricle in Cardiac MRI: The M&Ms ChallengeCarlos Martin-Isla, Victor M Campello, Cristian Izquierdo, et al.IEEE Transactions on Medical Imaging|June 17, 2021
Multi-Centre, Multi-Vendor and Multi-Disease Cardiac Segmentation: The M&Ms ChallengeVictor M Campello, Polyxeni Gkontra, Cristian Izquierdo, et al.Pageof 2