scholarly journals Overview of quantitative susceptibility mapping using deep learning: Current status, challenges and opportunities

2020 ◽  
pp. e4292 ◽  
Author(s):  
Woojin Jung ◽  
Steffen Bollmann ◽  
Jongho Lee
Keyword(s):  
Deep Learning ◽  
Susceptibility Mapping ◽  
Current Status ◽  
Quantitative Susceptibility Mapping ◽  
Challenges And Opportunities

Quantitative susceptibility mapping: current status and future directions

2015 ◽  
Vol 33 (1) ◽  
pp. 1-25 ◽  
Author(s):  
E. Mark Haacke ◽  
Saifeng Liu ◽  
Sagar Buch ◽  
Weili Zheng ◽  
Dongmei Wu ◽  
...  
Keyword(s):  
Susceptibility Mapping ◽  
Current Status ◽  
Quantitative Susceptibility Mapping ◽  
Future Directions

scholarly journals DeepQSM - using deep learning to solve the dipole inversion for quantitative susceptibility mapping

NeuroImage ◽  
2019 ◽  
Vol 195 ◽  
pp. 373-383 ◽  
Author(s):  
Steffen Bollmann ◽  
Kasper Gade Bøtker Rasmussen ◽  
Mads Kristensen ◽  
Rasmus Guldhammer Blendal ◽  
Lasse Riis Østergaard ◽  
...  
Keyword(s):  
Deep Learning ◽  
Susceptibility Mapping ◽  
Quantitative Susceptibility Mapping

scholarly journals MoDL-QSM: Model-based Deep Learning for Quantitative Susceptibility Mapping

NeuroImage ◽  
2021 ◽  
pp. 118376
Author(s):  
Ruimin Feng ◽  
Jiayi Zhao ◽  
He Wang ◽  
Baofeng Yang ◽  
Jie Feng ◽  
...  
Keyword(s):  
Deep Learning ◽  
Susceptibility Mapping ◽  
Quantitative Susceptibility Mapping ◽  
Model Based
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