2 papers
eess.IV2026
Optimized Multi-Contrast Self-Supervised MRI Reconstruction using Learned k-space Partitioning
Brenden Kadota, Charles Millard, Mark Chiew
Objective: Deep Learning has shown promise in accelerating MRI by reconstructing high-quality images from under-sampled data. While recent work has leveraged multi-contrast informa…
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…