14 citations · 14 across the 4 of their papers we have counts for
3 papers · 1 filter
The MYOSAIQ Challenge: Myocardial Segmentation with Automated Infarct Quantification
Olivier Bernard, William A. Romero R., Cyprien Bouton +24
Late gadolinium enhancement (LGE) cardiac magnetic resonance (MR) imaging is the modality of choice to assess myocardial infarction (MI) lesions. Nowadays MI volume quantification…
Accelerated Cardiac Parametric Mapping using Deep Learning-Refined Subspace Models
Calder D. Sheagren, Brenden T. Kadota, Jaykumar H. Patel +2
Cardiac parametric mapping is useful for evaluating cardiac fibrosis and edema. Parametric mapping relies on single-shot heartbeat-by-heartbeat imaging, which is susceptible to int…
Low-Rank Conjugate Gradient-Net for Accelerated Cardiac MR Imaging
Jaykumar H. Patel, Brenden T. Kadota, Calder D. Sheagren +2
Cardiovascular diseases (CVDs) remain the leading cause of mortality and morbidity worldwide. Both diagnosis and prognosis of these diseases benefit from high-quality imaging, whic…