Cardiology | Radiology ELRL-MD: a deep learning approach for myocarditis diagnosis using cardiac magnetic resonance images with ensemble and reinforcement learning integration. May 2, 2024
Cardiology | Radiology A Generative Adversarial Network to Synthesize 3D Magnetohydrodynamic Distortions for Electrocardiogram Analyses Applied to Cardiac Magnetic Resonance Imaging. November 14, 2023
Cardiology | Radiology Validation of a deep learning-based software for automated analysis of T2 mapping in cardiac magnetic resonance imaging. October 23, 2023
Cardiology | Radiology Left ventricle segmentation combining deep learning and deformable models with anatomical constraints. April 22, 2023
Cardiology | Radiology Comparative Cardiac Magnetic Resonance-Based Feature Tracking and Deep-Learning Strain Assessment in Patients Hospitalized for Acute Myocarditis. February 11, 2023
Cardiology | Radiology MITEA: A dataset for machine learning segmentation of the left ventricle in 3D echocardiography using subject-specific labels from cardiac magnetic resonance imaging. January 27, 2023
Cardiology | Radiology A Generative Adversarial Network technique for high-quality super-resolution reconstruction of cardiac magnetic resonance images. October 26, 2021
Cardiology | Radiology Unsupervised Domain Adaptation from Axial to Short-Axis Multi-Slice Cardiac MR Images by Incorporating Pretrained Task Networks. January 20, 2021
Cardiology | Radiology Fully Automatic Atrial Fibrosis Assessment Using a Multilabel Convolutional Neural Network. December 15, 2020
Cardiology | Radiology A Deep Learning Segmentation Approach in Free-Breathing Real-Time Cardiac Magnetic Resonance Imaging. September 1, 2019