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Learning Sampling and Model-Based Signal Recovery for Compressed Sensing
  MRI

Learning Sampling and Model-Based Signal Recovery for Compressed Sensing MRI

22 April 2020
Iris A. M. Huijben
Bastiaan S. Veeling
Ruud J. G. van Sloun
ArXivPDFHTML

Papers citing "Learning Sampling and Model-Based Signal Recovery for Compressed Sensing MRI"

4 / 4 papers shown
Title
Reinforcement Learning for Sampling on Temporal Medical Imaging
  Sequences
Reinforcement Learning for Sampling on Temporal Medical Imaging Sequences
Zhishen Huang
31
1
0
28 Aug 2023
Single-pass Object-adaptive Data Undersampling and Reconstruction for
  MRI
Single-pass Object-adaptive Data Undersampling and Reconstruction for MRI
Zhishen Huang
S. Ravishankar
MedIm
65
9
0
17 Nov 2021
A Review of the Gumbel-max Trick and its Extensions for Discrete
  Stochasticity in Machine Learning
A Review of the Gumbel-max Trick and its Extensions for Discrete Stochasticity in Machine Learning
Iris A. M. Huijben
W. Kool
Max B. Paulus
Ruud J. G. van Sloun
28
94
0
04 Oct 2021
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
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