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Compressive MRI quantification using convex spatiotemporal priors and
  deep auto-encoders
v1v2 (latest)

Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders

23 January 2020
Mohammad Golbabaee
Guido Bounincontri
Carolin M. Pirkl
Marion I. Menzel
Bjoern Menze
Mike Davies
Pedro A. Gómez
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Compressive MRI quantification using convex spatiotemporal priors and deep auto-encoders"

2 / 2 papers shown
An off-the-grid approach to multi-compartment magnetic resonance
  fingerprinting
An off-the-grid approach to multi-compartment magnetic resonance fingerprintingInverse Problems (IP), 2020
Mohammad Golbabaee
C. Poon
235
4
0
23 Nov 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
263
18
0
27 Jun 2020
1
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