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Experimental design for MRI by greedy policy search

Experimental design for MRI by greedy policy search

30 October 2020
Tim Bakker
H. V. Hoof
Max Welling
ArXivPDFHTML

Papers citing "Experimental design for MRI by greedy policy search"

28 / 28 papers shown
Title
Active Sampling for MRI-based Sequential Decision Making
Active Sampling for MRI-based Sequential Decision Making
Yuning Du
Jingshuai Liu
R. Dharmakumar
Sotirios A. Tsaftaris
49
0
0
07 May 2025
Adaptive Selection of Sampling-Reconstruction in Fourier Compressed
  Sensing
Adaptive Selection of Sampling-Reconstruction in Fourier Compressed Sensing
Seongmin Hong
Jaehyeok Bae
Jongho Lee
S. Chun
21
0
0
18 Sep 2024
Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling
Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling
Noam Elata
T. Michaeli
Michael Elad
DiffM
MedIm
29
9
0
11 Jul 2024
Reinforcement Learning of Adaptive Acquisition Policies for Inverse
  Problems
Reinforcement Learning of Adaptive Acquisition Policies for Inverse Problems
Gianluigi Silvestri
F. V. Massoli
Tribhuvanesh Orekondy
Afshin Abdi
Arash Behboodi
21
0
0
10 Jul 2024
Variational Learning ISTA
Variational Learning ISTA
F. V. Massoli
Christos Louizos
Arash Behboodi
28
0
0
09 Jul 2024
The MRI Scanner as a Diagnostic: Image-less Active Sampling
The MRI Scanner as a Diagnostic: Image-less Active Sampling
Yuning Du
R. Dharmakumar
Sotirios A. Tsaftaris
35
2
0
24 Jun 2024
Active Diffusion Subsampling
Active Diffusion Subsampling
Oisin Nolan
Tristan S. W. Stevens
Wessel L. van Nierop
Ruud J. G. van Sloun
DiffM
MedIm
37
2
0
20 Jun 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
Simulating, Fast and Slow: Learning Policies for Black-Box Optimization
Simulating, Fast and Slow: Learning Policies for Black-Box Optimization
F. V. Massoli
Tim Bakker
Thomas M. Hehn
Tribhuvanesh Orekondy
Arash Behboodi
48
0
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
30
2
0
15 Mar 2024
Indirectly Parameterized Concrete Autoencoders
Indirectly Parameterized Concrete Autoencoders
Alfred Nilsson
Klas Wijk
Sai Bharath Chandra Gutha
Erik Englesson
A. Hotti
Carlo Saccardi
Oskar Kviman
Jens Lagergren
Ricardo Vinuesa
Hossein Azizpour
33
1
0
01 Mar 2024
A comprehensive survey on deep active learning in medical image analysis
A comprehensive survey on deep active learning in medical image analysis
Haoran Wang
Q. Jin
Shiman Li
Siyu Liu
Manning Wang
Zhijian Song
VLM
46
22
0
22 Oct 2023
Reinforcement Learning for Sampling on Temporal Medical Imaging
  Sequences
Reinforcement Learning for Sampling on Temporal Medical Imaging Sequences
Zhishen Huang
28
1
0
28 Aug 2023
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
20
1
0
23 Jun 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
30
5
0
27 Jan 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
13
0
0
05 Dec 2022
E-Valuating Classifier Two-Sample Tests
E-Valuating Classifier Two-Sample Tests
T. Pandeva
Tim Bakker
C. A. Naesseth
Patrick Forré
26
10
0
24 Oct 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
A Path Towards Clinical Adaptation of Accelerated MRI
A Path Towards Clinical Adaptation of Accelerated MRI
Michael S. Yao
M. Hansen
MedIm
39
1
0
26 Aug 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
On learning adaptive acquisition policies for undersampled multi-coil
  MRI reconstruction
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction
Timothy C. Bakker
Matthew Muckley
Adriana Romero Soriano
M. Drozdzal
Luis Villaseñor-Pineda
14
18
0
30 Mar 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
18
2
0
11 Mar 2022
Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement
  Learning
Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement Learning
Tristan S. W. Stevens
Nishith Chennakeshava
F. D. Bruijn
M. Pekar
Ruud J. G. van Sloun
18
4
0
24 Jan 2022
Optimal MRI Undersampling Patterns for Ultimate Benefit of Medical
  Vision Tasks
Optimal MRI Undersampling Patterns for Ultimate Benefit of Medical Vision Tasks
A. Razumov
Oleg Y. Rogov
Dmitry V. Dylov
35
9
0
10 Aug 2021
Active 3D Shape Reconstruction from Vision and Touch
Active 3D Shape Reconstruction from Vision and Touch
Edward James Smith
D. Meger
Luis Villaseñor-Pineda
Roberto Calandra
Jitendra Malik
Adriana Romero
M. Drozdzal
13
43
0
20 Jul 2021
Towards Robust Active Feature Acquisition
Towards Robust Active Feature Acquisition
Yang Li
Siyuan Shan
Qin Liu
Junier B. Oliva
TPM
10
4
0
09 Jul 2021
End-to-End Sequential Sampling and Reconstruction for MRI
End-to-End Sequential Sampling and Reconstruction for MRI
Tianwei Yin
Zihui Wu
He Sun
Adrian V. Dalca
Yisong Yue
Katherine L. Bouman
16
19
0
13 May 2021
Towards Ultrafast MRI via Extreme k-Space Undersampling and
  Superresolution
Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution
A. Belov
J. Stadelmann
Sergey Kastryulin
Dmitry V. Dylov
17
6
0
04 Mar 2021
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