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Joint Diffusion: Mutual Consistency-Driven Diffusion Model for PET-MRI Co-Reconstruction., , , , , , , , , and 3 other author(s). CoRR, (2023)Deep unfolding as iterative regularization for imaging inverse problems., , , and . CoRR, (2022)Learning Data Consistency and its Application to Dynamic MR Imaging., , , , , , , and . IEEE Trans. Medical Imaging, 40 (11): 3140-3153 (2021)PS-Net: Deep Partially Separable Modelling for Dynamic Magnetic Resonance Imaging., , , , and . CoRR, (2022)Matrix Completion-Informed Deep Unfolded Equilibrium Models for Self-Supervised k-Space Interpolation in MRI., , , , , , and . CoRR, (2023)A nonconvex nonsmooth regularization method for compressed sensing and low rank matrix completion., and . Digit. Signal Process., (2017)Physics-Driven Deep Learning Methods for Fast Quantitative Magnetic Resonance Imaging: Performance improvements through integration with deep neural networks., , , , , and . IEEE Signal Process. Mag., 40 (2): 116-128 (March 2023)On the Non-ergodic Convergence Rate of the Directed Nonsmooth Composite Optimization., , , and . PDCAT, volume 12606 of Lecture Notes in Computer Science, page 129-140. Springer, (2020)Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation., , , , , , , , , and 4 other author(s). CoRR, (2023)K-UNN: k-space interpolation with untrained neural network., , , , , , , , , and 1 other author(s). Medical Image Anal., (August 2023)