3 papers
eess.IV2026
Harnessing Magnitude-Only and Complex Measurements for Improved Dynamic MRI Reconstruction with Learned Priors
Mahdi Saberi, Yaşar Utku Alçalar, Merve Gülle +2
MRI reconstruction methods for undersampled k-space data naturally utilize complex-valued measurements. Parallel developments in sparse phase retrieval have shown that magnitude-on…
eess.IV2026
UMPIRE-Net: Unrolled Magnitude-Phase Regularization Network for Accelerated MRI
Mahdi Saberi, Toygan Kiliç, Mehmet Akçakaya
MRI reconstruction from undersampled k-space measurements is an ill-posed inverse problem. Physics-driven deep learning (PD-DL) methods have shown strong performance for this task…
cs.CV2025
Training-Free Adversarial Robustness in Computational MRI
Mahdi Saberi, Chi Zhang, Mehmet Akçakaya
Deep learning (DL) methods have become the state-of-the-art for reconstructing sub-sampled magnetic resonance imaging (MRI) data. However, studies have shown that these methods are…