To improve the performance of neural networks for parameter estimation in quantitative MRI, in particular when the noise propagation varies throughout the space of biophysical parameters.
Authors
Kangning Liu
2 papers
C. Fernandez‐Granda
2 papers
Xiaoxia Zhang
1 papers
Quentin Duchemin
1 papers
Sebastian Flassbeck
1 papers
Cem Gultekin
1 papers
Jakob Assländer
1 papers
References58 items
1
Generalized Bloch model: A theory for pulsed magnetization transfer
2
Understanding deep learning (still) requires rethinking generalization
3
A Perspective on MR Fingerprinting
4
Rapid three-dimensional multiparametric MRI with quantitative transient-state imaging
5
Machine Learning for Rapid Magnetic Resonance Fingerprinting Tissue Property Quantification
6
Submillimeter MR fingerprinting using deep learning–based tissue quantification
7
Deep Learning for Fast and Spatially Constrained Tissue Quantification From Highly Accelerated Data in Magnetic Resonance Fingerprinting
8
HYDRA: Hybrid Deep Magnetic Resonance Fingerprinting
9
Magnetic Resonance Fingerprinting Using Recurrent Neural Networks
10
Geometry of Deep Learning for Magnetic Resonance Fingerprinting
11
Magnetic Resonance Fingerprinting Reconstruction via Spatiotemporal Convolutional Neural Networks
12
Hybrid-state free precession in nuclear magnetic resonance
13
Dictionary-Free MR Fingerprinting Parameter Estimation Via Inverse Regression
14
Low rank approximation methods for MR fingerprinting with large scale dictionaries
15
Group Normalization
16
Deep Learning using Rectified Linear Units (ReLU)
17
Deep Learning for Real-time Gravitational Wave Detection and Parameter Estimation with Advanced LIGO Data
18
MR fingerprinting Deep RecOnstruction NEtwork (DRONE)
19
Dictionary-Free MRI PERK: Parameter Estimation via Regression with Kernels
20
Better than real: Complex-valued neural nets for MRI fingerprinting
21
Joint system relaxometry (JSR) and Crámer‐Rao lower bound optimization of sequence parameters: A framework for enhanced precision of DESPOT T1 and T2 estimation
22
Optimized quantification of spin relaxation times in the hybrid state
23
Low‐rank magnetic resonance fingerprinting
24
T2 shuffling: Sharp, multicontrast, volumetric fast spin‐echo imaging
25
Low rank alternating direction method of multipliers reconstruction for MR fingerprinting
26
Optimal experiment design for magnetic resonance fingerprinting
27
Magnetic Resonance Fingerprinting with compressed sensing and distance metric learning
28
Degeneracy in model parameter estimation for multi‐compartmental diffusion in neuronal tissue
29
Deep Residual Learning for Image Recognition
30
Fast group matching for MR fingerprinting reconstruction
31
Adam: A Method for Stochastic Optimization
32
SVD Compression for Magnetic Resonance Fingerprinting in the Time Domain
33
A Compressed Sensing Framework for Magnetic Resonance Fingerprinting
34
Longitudinal MR imaging of iron in multiple sclerosis: an imaging marker of disease.
35
Magnetic Resonance Fingerprinting
36
Quantitative MRI techniques of cartilage composition.
37
Volume and iron content in basal ganglia and thalamus
38
Temporal stability of adaptive 3D radial MRI using multidimensional golden means
39
Et al
40
Compressed Sensing MRI
41
Quantitative MRI of the brain—measuring changes caused by disease
42
The clinico‐radiological paradox in multiple sclerosis revisited
43
Advances in sensitivity encoding with arbitrary k‐space trajectories
44
Simultaneous acquisition of spatial harmonics (SMASH): Fast imaging with radiofrequency coil arrays
45
Optimal Sampling Strategies for the Measurement of Relaxation Times in Proteins
46
Optimal Sampling Strategies for the Measurement of Spin–Spin Relaxation Times
47
Quantitative interpretation of magnetization transfer
48
Minimization of eddy current related artefacts in hybrid-state sequences
49
Quantitative magnetization transfer imaging in the hybrid state
50
Deep Learning for Magnetic Resonance Fingerprinting : Accelerating the Reconstruction of Quantitative Relaxation Maps
51
Learning contrast synthesis from mr fingerprinting
52
Deep Learning for Magnetic Resonance Fingerprinting: A New Approach for Predicting Quantitative Parameter Values from Time Series
53
Bart toolbox for computational magnetic resonance imaging, 2016
54
Local versus Global Low-Rank Promotion in Dynamic MRI Series Reconstruction
55
An Optimal Radial Profile Order Based on the Golden Ratio for Time-Resolved MRI
56
Information and the Accuracy Attainable in the Estimation of Statistical Parameters