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Learned Proximal Networks for Quantitative Susceptibility Mapping

Learned Proximal Networks for Quantitative Susceptibility Mapping

International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2020
11 August 2020
Kuo-Wei Lai
M. Aggarwal
P. Zijl
Xu Li
Jeremias Sulam
ArXiv (abs)PDFHTML

Papers citing "Learned Proximal Networks for Quantitative Susceptibility Mapping"

11 / 11 papers shown
Accelerating multiparametric quantitative MRI using self-supervised scan-specific implicit neural representation with model reinforcement
Accelerating multiparametric quantitative MRI using self-supervised scan-specific implicit neural representation with model reinforcement
Ruimin Feng
Albert Jang
Xingxin He
Fang Liu
161
0
0
27 Jul 2025
IR2QSM: Quantitative Susceptibility Mapping via Deep Neural Networks
  with Iterative Reverse Concatenations and Recurrent Modules
IR2QSM: Quantitative Susceptibility Mapping via Deep Neural Networks with Iterative Reverse Concatenations and Recurrent Modules
Min Li
Chen Chen
Z. Xiong
Ying Liu
Pengfei Rong
Shanshan Shan
Feng Liu
Hongfu Sun
Yang Gao
152
0
0
18 Jun 2024
What's in a Prior? Learned Proximal Networks for Inverse Problems
What's in a Prior? Learned Proximal Networks for Inverse ProblemsInternational Conference on Learning Representations (ICLR), 2023
Zhenghan Fang
Sam Buchanan
Jeremias Sulam
481
26
0
22 Oct 2023
Quantitative Susceptibility Mapping through Model-based Deep Image Prior
  (MoDIP)
Quantitative Susceptibility Mapping through Model-based Deep Image Prior (MoDIP)NeuroImage (NeuroImage), 2023
Z. Xiong
Yang Gao
Yin Liu
Amir Fazlollahi
P. Nestor
Feng Liu
Hongfu Sun
MedIm
151
21
0
18 Aug 2023
High-pass filtered fidelity-imposed network edit (HP-FINE) for robust quantitative susceptibility mapping from high-pass filtered phase
High-pass filtered fidelity-imposed network edit (HP-FINE) for robust quantitative susceptibility mapping from high-pass filtered phase
Jinwei Zhang
A. Dimov
Chao Li
Hang Zhang
Thanh D. Nguyen
P. Spincemaille
Yi Wang
206
0
0
05 May 2023
Affine Transformation Edited and Refined Deep Neural Network for
  Quantitative Susceptibility Mapping
Affine Transformation Edited and Refined Deep Neural Network for Quantitative Susceptibility MappingNeuroImage (NeuroImage), 2022
Z. Xiong
Yang Gao
Yifan Zhang
Hongfu Sun
MedIm
218
16
0
25 Nov 2022
Interpretable Modeling and Reduction of Unknown Errors in Mechanistic
  Operators
Interpretable Modeling and Reduction of Unknown Errors in Mechanistic OperatorsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Maryam Toloubidokhti
Nilesh Kumar
Zhiyuan Li
P. Gyawali
B. Zenger
W. Good
Rob S. MacLeod
Linwei Wang
MedImAI4CE
190
1
0
02 Nov 2022
DeepSTI: Towards Tensor Reconstruction using Fewer Orientations in
  Susceptibility Tensor Imaging
DeepSTI: Towards Tensor Reconstruction using Fewer Orientations in Susceptibility Tensor Imaging
Zhenghan Fang
Kuo-Wei Lai
P. Zijl
Xu Li
Jeremias Sulam
309
7
0
09 Sep 2022
WORD: A large scale dataset, benchmark and clinical applicable study for
  abdominal organ segmentation from CT image
WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image
Xiangde Luo
Wenjun Liao
Jianghong Xiao
Jieneng Chen
Tao Song
Xiaofan Zhang
Kang Li
Dimitris N. Metaxas
Guotai Wang
Shaoting Zhang
380
167
0
03 Nov 2021
NeXtQSM -- A complete deep learning pipeline for data-consistent
  quantitative susceptibility mapping trained with hybrid data
NeXtQSM -- A complete deep learning pipeline for data-consistent quantitative susceptibility mapping trained with hybrid data
Francesco Cognolato
Kieran O’Brien
Jin Jin
S. Robinson
F. Laun
M. Barth
S. Bollmann
204
9
0
16 Jul 2021
MoDL-QSM: Model-based Deep Learning for Quantitative Susceptibility
  Mapping
MoDL-QSM: Model-based Deep Learning for Quantitative Susceptibility MappingNeuroImage (NeuroImage), 2021
Rui-jun Feng
Jiayi Zhao
He Wang
Baofeng Yang
Jie Feng
...
Ming Zhang
Chunlei Liu
Yuyao Zhang
Zhuang Jie
Hongjiang Wei
289
46
0
21 Jan 2021
1
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