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Scalable Learning-Based Sampling Optimization for Compressive Dynamic
  MRI

Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI

1 February 2019
Thomas Sanchez
Baran Gözcü
R. Heeswijk
Armin Eftekhari
E. Ilıcak
Tolga Çukur
V. Cevher
ArXivPDFHTML

Papers citing "Scalable Learning-Based Sampling Optimization for Compressive Dynamic MRI"

12 / 12 papers shown
Title
Optimal OnTheFly Feedback Control of Event Sensors
Optimal OnTheFly Feedback Control of Event Sensors
V. Vishnevskiy
Greg Burman
Sebastian Kozerke
Diederik Paul Moeys
37
1
0
23 Aug 2024
Simultaneous q-Space Sampling Optimization and Reconstruction for Fast
  and High-fidelity Diffusion Magnetic Resonance Imaging
Simultaneous q-Space Sampling Optimization and Reconstruction for Fast and High-fidelity Diffusion Magnetic Resonance Imaging
Jing Yang
Jian Cheng
Cheng Li
Wen-Jie Fan
J. Zou
Shanshan Wang
Shanshan Wang
DiffM
15
0
0
03 Jan 2024
On Sensitivity and Robustness of Normalization Schemes to Input
  Distribution Shifts in Automatic MR Image Diagnosis
On Sensitivity and Robustness of Normalization Schemes to Input Distribution Shifts in Automatic MR Image Diagnosis
Divyam Madaan
D. Sodickson
K. Cho
S. Chopra
OOD
MedIm
35
1
0
23 Jun 2023
L2SR: Learning to Sample and Reconstruct for Accelerated MRI via
  Reinforcement Learning
L2SR: Learning to Sample and Reconstruct for Accelerated MRI via Reinforcement Learning
Pu Yang
Bin Dong
OffRL
AI4TS
18
0
0
05 Dec 2022
JoJoNet: Joint-contrast and Joint-sampling-and-reconstruction Network
  for Multi-contrast MRI
JoJoNet: Joint-contrast and Joint-sampling-and-reconstruction Network for Multi-contrast MRI
Lin Zhao
Xiao Chen
Eric Z. Chen
Yikang Liu
Dinggang Shen
Terrence Chen
Shanhui Sun
35
5
0
22 Oct 2022
Learning Optimal K-space Acquisition and Reconstruction using
  Physics-Informed Neural Networks
Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks
Wei Peng
Li Feng
Guoying Zhao
F. Liu
OOD
17
19
0
05 Apr 2022
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
Learning-Augmented $k$-means Clustering
Learning-Augmented kkk-means Clustering
Jon Ergun
Zhili Feng
Sandeep Silwal
David P. Woodruff
Samson Zhou
23
29
0
27 Oct 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
21
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
Learning Sampling and Model-Based Signal Recovery for Compressed Sensing
  MRI
Learning Sampling and Model-Based Signal Recovery for Compressed Sensing MRI
Iris A. M. Huijben
Bastiaan S. Veeling
Ruud J. G. van Sloun
6
33
0
22 Apr 2020
Deep-learning-based Optimization of the Under-sampling Pattern in MRI
Deep-learning-based Optimization of the Under-sampling Pattern in MRI
C. D. Bahadir
Alan Q. Wang
Adrian V. Dalca
M. Sabuncu
21
9
0
26 Jul 2019
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