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Magnetic Resonance Fingerprinting Reconstruction via Spatiotemporal
  Convolutional Neural Networks
v1v2 (latest)

Magnetic Resonance Fingerprinting Reconstruction via Spatiotemporal Convolutional Neural Networks

17 July 2018
F. Balsiger
A. Konar
Shivaprasad Chikop
V. Chandran
Olivier Scheidegger
S. Geethanath
M. Reyes
ArXiv (abs)PDFHTML

Papers citing "Magnetic Resonance Fingerprinting Reconstruction via Spatiotemporal Convolutional Neural Networks"

12 / 12 papers shown
Title
Cramér-Rao bound-informed training of neural networks for quantitative
  MRI
Cramér-Rao bound-informed training of neural networks for quantitative MRI
Xiaoxia Zhang
Quentin Duchemin
Kangning Liu
Sebastian Flassbeck
Cem Gultekin
C. Fernandez‐Granda
Jakob Assländer
95
21
0
22 Sep 2021
Magnetic Resonance Spectroscopy Deep Learning Denoising Using Few In
  Vivo Data
Magnetic Resonance Spectroscopy Deep Learning Denoising Using Few In Vivo Data
Dicheng Chen
Wanqi Hu
Huiting Liu
Yirong Zhou
Tianyu Qiu
...
Xi Chen
Gen Yan
D. Guo
Jianzhong Lin
X. Qu
63
13
0
26 Jan 2021
An off-the-grid approach to multi-compartment magnetic resonance
  fingerprinting
An off-the-grid approach to multi-compartment magnetic resonance fingerprinting
Mohammad Golbabaee
C. Poon
54
4
0
23 Nov 2020
pymia: A Python package for data handling and evaluation in deep
  learning-based medical image analysis
pymia: A Python package for data handling and evaluation in deep learning-based medical image analysis
Alain Jungo
Olivier Scheidegger
Mauricio Reyes
F. Balsiger
55
39
0
07 Oct 2020
Optimization with learning-informed differential equation constraints
  and its applications
Optimization with learning-informed differential equation constraints and its applications
Guozhi Dong
M. Hintermueller
Kostas Papafitsoros
PINN
51
14
0
25 Aug 2020
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
46
3
0
10 Aug 2020
Compressive MR Fingerprinting reconstruction with Neural Proximal
  Gradient iterations
Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations
Dongdong Chen
Mike E. Davies
Mohammad Golbabaee
66
16
0
27 Jun 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 Menze
Mike Davies
Pedro A. Gómez
MedIm
50
5
0
23 Jan 2020
Spatially Regularized Parametric Map Reconstruction for Fast Magnetic
  Resonance Fingerprinting
Spatially Regularized Parametric Map Reconstruction for Fast Magnetic Resonance Fingerprinting
F. Balsiger
Alain Jungo
Olivier Scheidegger
P. Carlier
M. Reyes
B. Marty
64
26
0
09 Nov 2019
Deep MR Fingerprinting with total-variation and low-rank subspace priors
Deep MR Fingerprinting with total-variation and low-rank subspace priors
Mohammad Golbabaee
Carolin M. Pirkl
Marion I. Menzel
G. Buonincontri
Pedro A. Gómez
44
6
0
26 Feb 2019
Magnetic Resonance Fingerprinting using Recurrent Neural Networks
Magnetic Resonance Fingerprinting using Recurrent Neural Networks
Ilkay Oksuz
G. Cruz
J. Clough
A. Bustin
Nicolo Fuin
René M. Botnar
Claudia Prieto
A. King
Julia A. Schnabel
57
42
0
19 Dec 2018
Geometry of Deep Learning for Magnetic Resonance Fingerprinting
Geometry of Deep Learning for Magnetic Resonance Fingerprinting
Mohammad Golbabaee
Dongdong Chen
Pedro A. Gómez
Marion I. Menzel
Mike E. Davies
69
42
0
05 Sep 2018
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