Bioinformatics | Cardiology | Radiology Multi-Modality Deep Infarct: Non-invasive identification of infarcted myocardium using composite in-silico-human data learning. June 19, 2024
Radiology Cardiac function in a large animal model of myocardial infarction at 7 T: deep learning based automatic segmentation increases reproducibility. May 14, 2024
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 DeepMesh: Mesh-based Cardiac Motion Tracking using Deep Learning. December 8, 2023
Cardiology | Radiology Identifying Mitral Valve Prolapse at Risk for Arrhythmias and Fibrosis From Electrocardiograms Using Deep Learning. November 8, 2023
Cardiology | Radiology Uncertainty aware training to improve deep learning model calibration for classification of cardiac MR images. June 16, 2023
Cardiology | Radiology Left Ventricle Detection from Cardiac Magnetic Resonance Relaxometry Images Using Visual Transformer. March 30, 2023
Cardiology | Radiology Regional perception and multi-scale feature fusion network for cardiac segmentation. March 23, 2023
Cardiology | Radiology Image-based estimation of the left ventricular cavity volume using deep learning and Gaussian process with cardio-mechanical applications. February 27, 2023
Cardiology | Radiology Deep learning can yield clinically useful right ventricular segmentations faster than fully manual analysis. January 21, 2023
Cardiology | Radiology On the usability of synthetic data for improving the robustness of deep learning-based segmentation of cardiac magnetic resonance images. December 9, 2022
Cardiology | Radiology DragNet: Learning-based deformable registration for realistic cardiac MR sequence generation from a single frame. November 20, 2022