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Reducing Uncertainty in Undersampled MRI Reconstruction with Active
  Acquisition

Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition

8 February 2019
Zizhao Zhang
Adriana Romero
Matthew Muckley
Pascal Vincent
Lin Yang
M. Drozdzal
ArXiv (abs)PDFHTML

Papers citing "Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition"

50 / 59 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
59
0
0
07 May 2025
MS-Glance: Bio-Insipred Non-semantic Context Vectors and their
  Applications in Supervising Image Reconstruction
MS-Glance: Bio-Insipred Non-semantic Context Vectors and their Applications in Supervising Image Reconstruction
Ziqi Gao
Wendi Yang
Yujia Li
Lei Xing
S. Kevin Zhou
62
0
0
31 Oct 2024
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
59
0
0
18 Sep 2024
LSST: Learned Single-Shot Trajectory and Reconstruction Network for MR
  Imaging
LSST: Learned Single-Shot Trajectory and Reconstruction Network for MR Imaging
H. Aggarwal
Sudhanya Chatterjee
D. Shanbhag
Uday Patil
K.V.S. Hari
123
0
0
08 Aug 2024
Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling
Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling
Noam Elata
T. Michaeli
Michael Elad
DiffMMedIm
60
9
0
11 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
62
2
0
24 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
54
2
0
06 Jun 2024
DuDoUniNeXt: Dual-domain unified hybrid model for single and
  multi-contrast undersampled MRI reconstruction
DuDoUniNeXt: Dual-domain unified hybrid model for single and multi-contrast undersampled MRI reconstruction
Ziqi Gao
Yue Zhang
Xinwen Liu
Kaiyan Li
S. Kevin Zhou
72
1
0
08 Mar 2024
Uncertainty Estimation in Contrast-Enhanced MR Image Translation with
  Multi-Axis Fusion
Uncertainty Estimation in Contrast-Enhanced MR Image Translation with Multi-Axis Fusion
Ivo M. Baltruschat
Parvaneh Janbakhshi
Melanie Dohmen
Matthias Lenga
MedIm
76
2
0
20 Nov 2023
On the Quantification of Image Reconstruction Uncertainty without
  Training Data
On the Quantification of Image Reconstruction Uncertainty without Training Data
Sirui Bi
Victor Fung
Jiaxin Zhang
53
1
0
16 Nov 2023
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
117
31
0
22 Oct 2023
A review of uncertainty quantification in medical image analysis:
  probabilistic and non-probabilistic methods
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods
Ling Huang
S. Ruan
Yucheng Xing
Mengling Feng
99
27
0
09 Oct 2023
Reinforcement Learning for Sampling on Temporal Medical Imaging
  Sequences
Reinforcement Learning for Sampling on Temporal Medical Imaging Sequences
Zhishen Huang
106
1
0
28 Aug 2023
Variational Imbalanced Regression: Fair Uncertainty Quantification via
  Probabilistic Smoothing
Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing
Ziyan Wang
Hao Wang
UQCV
82
0
0
11 Jun 2023
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense
  Active Learning for Super-resolution
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution
Vikrant Rangnekar
Uddeshya Upadhyay
Zeynep Akata
Biplab Banerjee
72
4
0
27 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 Dalca
Katherine Bouman
60
4
0
25 Apr 2023
ALUM: Adversarial Data Uncertainty Modeling from Latent Model
  Uncertainty Compensation
ALUM: Adversarial Data Uncertainty Modeling from Latent Model Uncertainty Compensation
Wei Wei
Jiahuan Zhou
Hongze Li
Yingying Wu
38
1
0
29 Mar 2023
Learning Federated Visual Prompt in Null Space for MRI Reconstruction
Learning Federated Visual Prompt in Null Space for MRI Reconstruction
Chun-Mei Feng
Bangjun Li
Xinxing Xu
Yong Liu
Huazhu Fu
W. Zuo
FedML
99
47
0
28 Mar 2023
PixCUE: Joint Uncertainty Estimation and Image Reconstruction in MRI
  using Deep Pixel Classification
PixCUE: Joint Uncertainty Estimation and Image Reconstruction in MRI using Deep Pixel Classification
Mevan Ekanayake
Kamlesh Pawar
Gary Egan
Zhaolin Chen
UQCV
50
0
0
28 Feb 2023
Dual-Domain Self-Supervised Learning for Accelerated Non-Cartesian MRI
  Reconstruction
Dual-Domain Self-Supervised Learning for Accelerated Non-Cartesian MRI Reconstruction
Bo Zhou
Jo Schlemper
Neel Dey
Seyed Sadegh Mohseni Salehi
Kevin Sheth
Chi Liu
James S. Duncan
M. Sofka
OOD
76
18
0
18 Feb 2023
A Review of Uncertainty Estimation and its Application in Medical
  Imaging
A Review of Uncertainty Estimation and its Application in Medical Imaging
K. Zou
Zhihao Chen
Xuedong Yuan
Xiaojing Shen
Meng Wang
Huazhu Fu
UQCV
127
92
0
16 Feb 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
132
5
0
27 Jan 2023
On Retrospective k-space Subsampling schemes For Deep MRI Reconstruction
On Retrospective k-space Subsampling schemes For Deep MRI Reconstruction
George Yiasemis
Clara I. Sánchez
Jan-Jakob Sonke
Jonas Teuwen
91
17
0
20 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
OffRLAI4TS
54
0
0
05 Dec 2022
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step
  Inference
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference
Nikita Durasov
Nik Dorndorf
Hieu M. Le
Pascal Fua
UQCV
89
10
0
21 Nov 2022
Active CT Reconstruction with a Learned Sampling Policy
Active CT Reconstruction with a Learned Sampling Policy
Member Ieee Ce Wang
Kun Shang
Member Ieee Haimiao Zhang
Shang Zhao
Senior Member Ieee Dong Liang
F. I. S. Kevin Zhou
68
9
0
03 Nov 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
57
6
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
127
1
0
26 Aug 2022
PUERT: Probabilistic Under-sampling and Explicable Reconstruction
  Network for CS-MRI
PUERT: Probabilistic Under-sampling and Explicable Reconstruction Network for CS-MRI
Jingfen Xie
Jian Zhang
Yongbing Zhang
Xiangyang Ji
76
31
0
24 Apr 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
Fan Liu
OOD
56
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
73
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
50
2
0
11 Mar 2022
Dual-Domain Reconstruction Networks with V-Net and K-Net for fast MRI
Dual-Domain Reconstruction Networks with V-Net and K-Net for fast MRI
Xiaohan Liu
Yanwei Pang
Ruiqi Jin
Yu Liu
Zhenchang Wang
47
31
0
11 Mar 2022
DSFormer: A Dual-domain Self-supervised Transformer for Accelerated
  Multi-contrast MRI Reconstruction
DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction
Bo Zhou
Neel Dey
Jo Schlemper
S. Salehi
Chi Liu
James S. Duncan
M. Sofka
MedIm
87
57
0
26 Jan 2022
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
Dinggang Shen
60
4
0
11 Nov 2021
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent
  Advances and Applications
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications
Xinlei Zhou
Han Liu
Farhad Pourpanah
T. Zeng
Xizhao Wang
UQCVUD
124
61
0
03 Nov 2021
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image
  Enhancement
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement
Uddeshya Upadhyay
Viswanath P. Sudarshan
Suyash P. Awate
MedIm
99
21
0
07 Oct 2021
A review and experimental evaluation of deep learning methods for MRI
  reconstruction
A review and experimental evaluation of deep learning methods for MRI reconstruction
Arghya Pal
Yogesh Rathi
3DV
108
47
0
17 Sep 2021
Deep MRI Reconstruction with Radial Subsampling
Deep MRI Reconstruction with Radial Subsampling
George Yiasemis
Chaoping Zhang
C. Sánchez
Jan-Jakob Sonke
Jonas Teuwen
119
9
0
17 Aug 2021
Active 3D Shape Reconstruction from Vision and Touch
Active 3D Shape Reconstruction from Vision and Touch
Edward James Smith
David Meger
Luis Villaseñor-Pineda
Roberto Calandra
Jitendra Malik
Adriana Romero
M. Drozdzal
91
47
0
20 Jul 2021
Unsupervised Embedding Learning from Uncertainty Momentum Modeling
Unsupervised Embedding Learning from Uncertainty Momentum Modeling
Jiahuan Zhou
Yansong Tang
Fuchun Sun
Ying Nian Wu
37
1
0
19 Jul 2021
Real-Time Mapping of Tissue Properties for Magnetic Resonance
  Fingerprinting
Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting
Yilin Liu
Yong Chen
P. Yap
71
5
0
16 Jul 2021
Towards Robust Active Feature Acquisition
Towards Robust Active Feature Acquisition
Yang Li
Siyuan Shan
Qin Liu
Junier B. Oliva
TPM
54
4
0
09 Jul 2021
Uncertainty-Guided Progressive GANs for Medical Image Translation
Uncertainty-Guided Progressive GANs for Medical Image Translation
Uddeshya Upadhyay
Yanbei Chen
Tobias Hepp
S. Gatidis
Zeynep Akata
MedIm
81
24
0
29 Jun 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 Dalca
Yisong Yue
Katherine Bouman
82
20
0
13 May 2021
Deep reinforcement learning in medical imaging: A literature review
Deep reinforcement learning in medical imaging: A literature review
S. Kevin Zhou
Hoang Ngan Le
Khoa Luu
Hien V Nguyen
N. Ayache
LM&MAOffRLMedIm
77
149
0
05 Mar 2021
Active Sampling for Accelerated MRI with Low-Rank Tensors
Active Sampling for Accelerated MRI with Low-Rank Tensors
Zichang He
Bo Zhao
Zheng Zhang
MedIm
61
5
0
23 Dec 2020
A Review of Uncertainty Quantification in Deep Learning: Techniques,
  Applications and Challenges
A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
Moloud Abdar
Farhad Pourpanah
Sadiq Hussain
Dana Rezazadegan
Li Liu
...
Xiaochun Cao
Abbas Khosravi
U. Acharya
V. Makarenkov
S. Nahavandi
BDLUQCV
360
1,947
0
12 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
59
59
0
30 Oct 2020
Towards learned optimal q-space sampling in diffusion MRI
Towards learned optimal q-space sampling in diffusion MRI
Tomer Weiss
S. Vedula
Ortal Senouf
O. Michailovich
A. Bronstein
MedIm
36
3
0
07 Sep 2020
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