no code implementations • 29 Oct 2019 • Risheng Liu, Yuxi Zhang, Shichao Cheng, Zhongxuan Luo, Xin Fan
Compressed Sensing Magnetic Resonance Imaging (CS-MRI) significantly accelerates MR data acquisition at a sampling rate much lower than the Nyquist criterion.
no code implementations • NeurIPS 2018 • Risheng Liu, Shichao Cheng, Xiaokun Liu, Long Ma, Xin Fan, Zhongxuan Luo
Different from these existing network based iterations, which often lack theoretical investigations, we provide strict convergence analysis for PODM in the challenging nonconvex and nonsmooth scenarios.
no code implementations • 9 Nov 2018 • Risheng Liu, Yuxi Zhang, Shichao Cheng, Xin Fan, Zhongxuan Luo
Magnetic Resonance Imaging (MRI) is one of the most dynamic and safe imaging techniques available for clinical applications.
no code implementations • 16 Aug 2018 • Risheng Liu, Shichao Cheng, Yi He, Xin Fan, Zhouchen Lin, Zhongxuan Luo
Moreover, there is a lack of rigorous analysis about the convergence behaviors of these reimplemented iterations, and thus the significance of such methods is a little bit vague.
no code implementations • 31 Jul 2018 • Risheng Liu, Yi He, Shichao Cheng, Xin Fan, Zhongxuan Luo
Blind image deblurring plays a very important role in many vision and multimedia applications.
no code implementations • 28 Apr 2018 • Risheng Liu, Shichao Cheng, Yi He, Xin Fan, Zhongxuan Luo
Operator splitting methods have been successfully used in computational sciences, statistics, learning and vision areas to reduce complex problems into a series of simpler subproblems.
no code implementations • 21 Nov 2017 • Risheng Liu, Xin Fan, Shichao Cheng, Xiangyu Wang, Zhongxuan Luo
Deep learning models have gained great success in many real-world applications.