3 papers
eess.IV2025
UPMRI: Unsupervised Parallel MRI Reconstruction via Projected Conditional Flow Matching
Xinzhe Luo, Yingzhen Li, Chen Qin
Reconstructing high-quality images from substantially undersampled k-space data for accelerated MRI presents a challenging ill-posed inverse problem. While supervised deep learning…
eess.IV2025
Spectral Bias Correction in PINNs for Myocardial Image Registration of Pathological Data
Bastien C. Baluyot, Marta Varela, Chen Qin
Accurate myocardial image registration is essential for cardiac strain analysis and disease diagnosis. However, spectral bias in neural networks impedes modeling high-frequency def…
eess.IV2025
Unsupervised Accelerated MRI Reconstruction via Ground-Truth-Free Flow Matching
Xinzhe Luo, Yingzhen Li, Chen Qin
Accelerated magnetic resonance imaging involves reconstructing fully sampled images from undersampled k-space measurements. Current state-of-the-art approaches have mainly focused…