2 papers
eess.IV2025
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…
eess.IV2024
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…