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RinQ Fingerprinting: Recurrence-informed Quantile Networks for Magnetic
  Resonance Fingerprinting

RinQ Fingerprinting: Recurrence-informed Quantile Networks for Magnetic Resonance Fingerprinting

9 July 2019
Elisabeth Hoppe
Florian Thamm
Gregor Körzdörfer
Christopher Syben
Franziska Schirrmacher
M. Nittka
J. Pfeuffer
H. Meyer
Andreas Maier
ArXivPDFHTML

Papers citing "RinQ Fingerprinting: Recurrence-informed Quantile Networks for Magnetic Resonance Fingerprinting"

4 / 4 papers shown
Title
Channel Attention Networks for Robust MR Fingerprinting Matching
Channel Attention Networks for Robust MR Fingerprinting Matching
Refik Soyak
Ebru Navruz
Eda Ozgu Ersoy
G. Cruz
Claudia Prieto
A. King
D. Unay
Ilkay Oksuz
11
1
0
02 Dec 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
21
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
19
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 H. Menze
Mike Davies
Pedro A. Gómez
MedIm
26
5
0
23 Jan 2020
1