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Quantitative Susceptibility Mapping through Model-based Deep Image Prior
  (MoDIP)

Quantitative Susceptibility Mapping through Model-based Deep Image Prior (MoDIP)

18 August 2023
Z. Xiong
Yang Gao
Yin Liu
Amir Fazlollahi
P. Nestor
Feng Liu
Hongfu Sun
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Quantitative Susceptibility Mapping through Model-based Deep Image Prior (MoDIP)"

3 / 3 papers shown
Title
Chemical Shift Encoding based Double Bonds Quantification in
  Triglycerides using Deep Image Prior
Chemical Shift Encoding based Double Bonds Quantification in Triglycerides using Deep Image Prior
Chaoxing Huang
Ziqiang Yu
Zijian Gao
Qiuyi Shen
Queenie Chan
V. Wong
Winnie Chiu Wing Chu
Weitian Chen
MedIm
41
0
0
02 Jul 2024
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
60
0
0
18 Jun 2024
A Learnable Prior Improves Inverse Tumor Growth Modeling
A Learnable Prior Improves Inverse Tumor Growth Modeling
Jonas Weidner
Ivan Ezhov
Michal Balcerak
M. Metz
Sergey Litvinov
...
Jana Lipkova
Jonas Latz
Daniel Rueckert
Bjoern Menze
Benedikt Wiestler
MedImAI4CE
85
5
0
07 Mar 2024
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