Geometry of Deep Learning for Magnetic Resonance Fingerprinting

Geometry of Deep Learning for Magnetic Resonance Fingerprinting

5 September 2018

Mohammad Golbabaee

Pedro A. Gómez

Marion I. Menzel

Mike E. Davies

Papers citing "Geometry of Deep Learning for Magnetic Resonance Fingerprinting"

9 / 9 papers shown

Title
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 24 19 0 22 Sep 2021
Solving inverse problems with deep neural networks driven by sparse signal decomposition in a physics-based dictionary Gaëtan Rensonnet Louise Adam Benoit Macq MedIm 37 6 0 16 Jul 2021
An off-the-grid approach to multi-compartment magnetic resonance fingerprinting Mohammad Golbabaee C. Poon 16 4 0 23 Nov 2020
Learning Bloch Simulations for MR Fingerprinting by Invertible Neural Networks F. Balsiger Alain Jungo Olivier Scheidegger B. Marty M. Reyes 14 3 0 10 Aug 2020
Compressive MR Fingerprinting reconstruction with Neural Proximal Gradient iterations Dongdong Chen Mike E. Davies Mohammad Golbabaee 11 16 0 27 Jun 2020
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 13 5 0 23 Jan 2020
Deep MR Fingerprinting with total-variation and low-rank subspace priors Mohammad Golbabaee Carolin M. Pirkl Marion I. Menzel G. Buonincontri Pedro A. Gómez 11 6 0 26 Feb 2019
CoverBLIP: accelerated and scalable iterative matched-filtering for Magnetic Resonance Fingerprint reconstruction Mohammad Golbabaee Zhouye Chen Yves Wiaux Mike Davies 17 14 0 03 Oct 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 253 3,239 0 24 Nov 2016