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A Theoretically Guaranteed Deep Optimization Framework for Robust
  Compressive Sensing MRI

A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI

9 November 2018
Risheng Liu
Yuxi Zhang
Shichao Cheng
Xin-Yue Fan
Zhongxuan Luo
ArXivPDFHTML

Papers citing "A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI"

3 / 3 papers shown
Title
Learning with Multiclass AUC: Theory and Algorithms
Learning with Multiclass AUC: Theory and Algorithms
Zhiyong Yang
Qianqian Xu
Shilong Bao
Xiaochun Cao
Qingming Huang
31
66
0
28 Jul 2021
Learning Deformable Image Registration from Optimization: Perspective,
  Modules, Bilevel Training and Beyond
Learning Deformable Image Registration from Optimization: Perspective, Modules, Bilevel Training and Beyond
Risheng Liu
Zi Li
Xin-Yue Fan
Chenying Zhao
Hao Huang
Zhongxuan Luo
3DH
11
32
0
30 Apr 2020
DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI
  Reconstruction with Deep T1 Prior
DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior
Bo Zhou
S. Kevin Zhou
31
153
0
11 Jan 2020
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