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Dictionary-Free MRI PERK: Parameter Estimation via Regression with Kernels

Dictionary-Free MRI PERK: Parameter Estimation via Regression with Kernels

Gopal Nataraj
J. Nielsen
Clayton Scott
Jeffrey A. Fessler
ArXiv (abs)PDFHTML

Papers citing "Dictionary-Free MRI PERK: Parameter Estimation via Regression with Kernels"

4 / 4 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
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
Optimizing MRF-ASL Scan Design for Precise Quantification of Brain Hemodynamics using Neural Network Regression
Optimizing MRF-ASL Scan Design for Precise Quantification of Brain Hemodynamics using Neural Network Regression
Anish Lahiri
Jeffrey A. Fessler
L. Hernandez-Garcia
25
21
0
15 May 2019
Fast, Precise Myelin Water Quantification using DESS MRI and Kernel Learning
Fast, Precise Myelin Water Quantification using DESS MRI and Kernel Learning
Gopal Nataraj
J. Nielsen
Mingjie Gao
Jeffrey A. Fessler
18
6
0
24 Sep 2018