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Spatially Regularized Parametric Map Reconstruction for Fast Magnetic
  Resonance Fingerprinting

Spatially Regularized Parametric Map Reconstruction for Fast Magnetic Resonance Fingerprinting

9 November 2019
F. Balsiger
Alain Jungo
Olivier Scheidegger
P. Carlier
M. Reyes
B. Marty
ArXivPDFHTML

Papers citing "Spatially Regularized Parametric Map Reconstruction for Fast Magnetic Resonance Fingerprinting"

3 / 3 papers shown
Title
Highly accelerated MR parametric mapping by undersampling the k-space
  and reducing the contrast number simultaneously with deep learning
Highly accelerated MR parametric mapping by undersampling the k-space and reducing the contrast number simultaneously with deep learning
Shaonan Liu
Haoxiang Li
Yuanyuan Liu
Hairong Zheng
Guanxun Cheng
Gang Yang
Haifeng Wang
Dong Liang
MedIm
22
9
0
01 Dec 2021
Learning Bloch Simulations for MR Fingerprinting by Invertible Neural
  Networks
Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks
F. Balsiger
Alain Jungo
Olivier Scheidegger
B. Marty
M. Reyes
16
3
0
10 Aug 2020
Compressive MRI quantification using convex spatiotemporal priors and
  deep auto-encoders
Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders
Mohammad Golbabaee
Guido Bounincontri
Carolin M. Pirkl
Marion I. Menzel
Bjoern H. Menze
Mike Davies
Pedro A. Gómez
MedIm
15
5
0
23 Jan 2020
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