2 papers
eess.IV2026
CogGen: Cognitive-Load-Inspired Fully Unsupervised Deep Generative Modeling for Compressively Sampled MRI Reconstruction
Qingyong Zhu, Yumin Tan, Xiang Gu +1
Fully unsupervised deep generative modeling (FU-DGM) offers significant potential for compressively sampled magnetic resonance imaging (CS-MRI) reconstruction. Representative FU-DG…
eess.IV2026
UEPS: Robust and Efficient MRI Reconstruction
Xiang Zhou, Hong Shang, Zijian Zhan +3
Deep unrolled models (DUMs) have become the state of the art for accelerated MRI reconstruction, yet their robustness under domain shift remains a critical barrier to clinical adop…