Learned Proximal Networks for Quantitative Susceptibility Mapping

Learned Proximal Networks for Quantitative Susceptibility Mapping

11 August 2020

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Papers citing "Learned Proximal Networks for Quantitative Susceptibility Mapping"

9 / 9 papers shown

Title
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 60 0 0 18 Jun 2024
What's in a Prior? Learned Proximal Networks for Inverse Problems Zhenghan Fang Sam Buchanan Jeremias Sulam 86 12 0 22 Oct 2023
Quantitative Susceptibility Mapping through Model-based Deep Image Prior (MoDIP) Z. Xiong Yang Gao Yin Liu Amir Fazlollahi P. Nestor Feng Liu Hongfu Sun MedIm 30 11 0 18 Aug 2023
Physics-based network fine-tuning 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 52 0 0 05 May 2023
Affine Transformation Edited and Refined Deep Neural Network for Quantitative Susceptibility Mapping Z. Xiong Yang Gao Feng Liu Hongfu Sun MedIm 44 11 0 25 Nov 2022
Interpretable Modeling and Reduction of Unknown Errors in Mechanistic Operators Maryam Toloubidokhti Nilesh Kumar Zhiyuan Li P. Gyawali B. Zenger W. Good Rob S. MacLeod Linwei Wang MedIm AI4CE 27 1 0 02 Nov 2022
DeepSTI: Towards Tensor Reconstruction using Fewer Orientations in Susceptibility Tensor Imaging Zhenghan Fang Kuo-Wei Lai P. Zijl Xu Li Jeremias Sulam 127 5 0 09 Sep 2022
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 40 7 0 16 Jul 2021
MoDL-QSM: Model-based Deep Learning for Quantitative Susceptibility Mapping Rui-jun Feng Jiayi Zhao He Wang Baofeng Yang Jie Feng ... Ming Zhang Chunlei Liu Yuyao Zhang Zhuang Jie Hongjiang Wei 41 34 0 21 Jan 2021