Cardiology | Radiology Improving the efficiency and accuracy of CMR with AI – review of evidence and proposition of a roadmap to clinical translation. June 23, 2024
Cardiology Evaluation of Deep Learning Estimation of Whole Heart Anatomy from Automated Cardiovascular Magnetic Resonance Short- and Long-Axis Analyses in UK Biobank. May 9, 2024
Cardiology | Radiology SwinUNet: a multiscale feature learning approach to cardiovascular magnetic resonance parametric mapping for myocardial tissue characterization. February 22, 2024
Cardiology Deep Learning for Automatic Volumetric Segmentation of Left Ventricular Myocardium and Ischemic Scar from Multi-Slice LGE-CMR. January 20, 2024
Cardiology | Radiology Segmentation of Pericardial Adipose Tissue in CMR Images: a Benchmark Dataset MRPEAT and a Triple-Stage Network 3SUnet. April 7, 2023
Cardiology | Computational Medicine | Radiology A deep learning approach for fully automated cardiac shape modeling in tetralogy of Fallot. February 28, 2023
Cardiology | Radiology Cardiovascular magnetic resonance images with susceptibility artifacts: artificial intelligence with spatial-attention for ventricular volumes and mass assessment. November 27, 2022
Cardiology | Radiology A deep learning approach to real-time volumetric measurements without image reconstruction for cardiovascular magnetic resonance. September 16, 2022
Cardiology | Radiology Towards automatic classification of cardiovascular magnetic resonance Task Force Criteria for diagnosis of arrhythmogenic right ventricular cardiomyopathy. September 6, 2022
Cardiology | Radiology An inline deep learning based free-breathing ECG-free cine for exercise cardiovascular magnetic resonance. August 10, 2022
Cardiology | Radiology Artificial intelligence and cardiovascular magnetic resonance imaging in myocardial infarction patients. July 23, 2022
Cardiology | Radiology Radiomics and deep learning for myocardial scar screening in hypertrophic cardiomyopathy. June 27, 2022