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Learning-based Optimization of the Under-sampling Pattern in MRI

Learning-based Optimization of the Under-sampling Pattern in MRI

7 January 2019
C. D. Bahadir
Adrian V. Dalca
M. Sabuncu
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Papers citing "Learning-based Optimization of the Under-sampling Pattern in MRI"

18 / 18 papers shown
Title
Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI
Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI
George Yiasemis
J. Sonke
Jonas Teuwen
73
0
0
27 Nov 2024
Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology
  Prediction
Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction
Chen-Yu Yen
Raghav Singhal
Umang Sharma
Rajesh Ranganath
S. Chopra
Lerrel Pinto
32
1
0
06 Jun 2024
End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI
End-to-end Adaptive Dynamic Subsampling and Reconstruction for Cardiac MRI
George Yiasemis
J. Sonke
Jonas Teuwen
33
2
0
15 Mar 2024
Constrained Probabilistic Mask Learning for Task-specific Undersampled
  MRI Reconstruction
Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI Reconstruction
Tobias Weber
Michael Ingrisch
Bernd Bischl
David Rügamer
29
2
0
25 May 2023
Learning Task-Specific Strategies for Accelerated MRI
Learning Task-Specific Strategies for Accelerated MRI
Zihui Wu
Tianwei Yin
Yu Sun
R. Frost
A. Kouwe
Adrian V. Dalca
Katherine Bouman
35
4
0
25 Apr 2023
On the Feasibility of Machine Learning Augmented Magnetic Resonance for
  Point-of-Care Identification of Disease
On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease
R. Singhal
Mukund Sudarshan
Anish Mahishi
S. Kaushik
L. Ginocchio
A. Tong
H. Chandarana
D. Sodickson
Rajesh Ranganath
S. Chopra
36
5
0
27 Jan 2023
LARO: Learned Acquisition and Reconstruction Optimization to accelerate
  Quantitative Susceptibility Mapping
LARO: Learned Acquisition and Reconstruction Optimization to accelerate Quantitative Susceptibility Mapping
Jinwei Zhang
P. Spincemaille
Hang Zhang
Thanh D. Nguyen
Chao Li
Jiahao Nick Li
I. Kovanlikaya
M. Sabuncu
Yi Wang
26
9
0
01 Nov 2022
A Path Towards Clinical Adaptation of Accelerated MRI
A Path Towards Clinical Adaptation of Accelerated MRI
Michael S. Yao
M. Hansen
MedIm
42
1
0
26 Aug 2022
Active Phase-Encode Selection for Slice-Specific Fast MR Scanning Using
  a Transformer-Based Deep Reinforcement Learning Framework
Active Phase-Encode Selection for Slice-Specific Fast MR Scanning Using a Transformer-Based Deep Reinforcement Learning Framework
Yiming Liu
Yanwei Pang
Ruiqi Jin
Zhenchang Wang
MedIm
21
2
0
11 Mar 2022
AI-based Reconstruction for Fast MRI -- A Systematic Review and
  Meta-analysis
AI-based Reconstruction for Fast MRI -- A Systematic Review and Meta-analysis
Yutong Chen
Carola-Bibiane Schönlieb
Pietro Lio
T. Leiner
Pier Luigi Dragotti
Ge Wang
Daniel Rueckert
D. Firmin
Guang Yang
30
87
0
23 Dec 2021
Fast T2w/FLAIR MRI Acquisition by Optimal Sampling of Information
  Complementary to Pre-acquired T1w MRI
Fast T2w/FLAIR MRI Acquisition by Optimal Sampling of Information Complementary to Pre-acquired T1w MRI
Junwei Yang
Xiao-Xin Li
Feihong Liu
Dong Nie
Pietro Lio
H. Qi
D. Shen
15
4
0
11 Nov 2021
Alternating Learning Approach for Variational Networks and Undersampling
  Pattern in Parallel MRI Applications
Alternating Learning Approach for Variational Networks and Undersampling Pattern in Parallel MRI Applications
M. Zibetti
Florian Knoll
R. Regatte
30
17
0
27 Oct 2021
Optimizing full 3D SPARKLING trajectories for high-resolution
  T2*-weighted Magnetic Resonance Imaging
Optimizing full 3D SPARKLING trajectories for high-resolution T2*-weighted Magnetic Resonance Imaging
R. ChaithyaG.
P. Weiss
Guillaume Daval-Frérot
Aurélien Massire
A. Vignaud
P. Ciuciu
11
8
0
06 Aug 2021
Fast Data-Driven Learning of MRI Sampling Pattern for Large Scale
  Problems
Fast Data-Driven Learning of MRI Sampling Pattern for Large Scale Problems
M. Zibetti
G. Herman
R. Regatte
16
5
0
04 Nov 2020
Experimental design for MRI by greedy policy search
Experimental design for MRI by greedy policy search
Tim Bakker
H. V. Hoof
Max Welling
27
55
0
30 Oct 2020
Improved Supervised Training of Physics-Guided Deep Learning Image
  Reconstruction with Multi-Masking
Improved Supervised Training of Physics-Guided Deep Learning Image Reconstruction with Multi-Masking
Burhaneddin Yaman
S. A. Hosseini
S. Moeller
Mehmet Akçakaya
AI4CE
27
4
0
26 Oct 2020
Extending LOUPE for K-space Under-sampling Pattern Optimization in
  Multi-coil MRI
Extending LOUPE for K-space Under-sampling Pattern Optimization in Multi-coil MRI
Jinwei Zhang
Hang Zhang
Alan Q. Wang
Qihao Zhang
M. Sabuncu
P. Spincemaille
Thanh D. Nguyen
Yi Wang
25
33
0
28 Jul 2020
Scalable Learning-Based Sampling Optimization for Compressive Dynamic
  MRI
Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI
Thomas Sanchez
Baran Gözcü
R. Heeswijk
Armin Eftekhari
E. Ilıcak
Tolga Çukur
V. Cevher
11
29
0
01 Feb 2019
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