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Nonlinear Dipole Inversion (NDI) enables Quantitative Susceptibility
  Mapping (QSM) without parameter tuning

Nonlinear Dipole Inversion (NDI) enables Quantitative Susceptibility Mapping (QSM) without parameter tuning

30 September 2019
D. Polak
I. Chatnuntawech
Jaeyeon Yoon
S. Iyer
Jongho Lee
P. Bachert
E. Adalsteinsson
Kawin Setsompop
B. Bilgiç
ArXiv (abs)PDFHTML

Papers citing "Nonlinear Dipole Inversion (NDI) enables Quantitative Susceptibility Mapping (QSM) without parameter tuning"

2 / 2 papers shown
Title
Physics-Driven Deep Learning for Computational Magnetic Resonance
  Imaging
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging
Kerstin Hammernik
Thomas Kustner
Burhaneddin Yaman
Zhengnan Huang
Daniel Rueckert
Florian Knoll
Mehmet Akçakaya
PINNMedImAI4CE
94
75
0
23 Mar 2022
MoDL-QSM: Model-based Deep Learning for Quantitative Susceptibility
  Mapping
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
1