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1902.03051
Cited By
Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition
8 February 2019
Zizhao Zhang
Adriana Romero
Matthew Muckley
Pascal Vincent
Lin Yang
M. Drozdzal
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Papers citing
"Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition"
50 / 59 papers shown
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252
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MS-Glance: Bio-Insipred Non-semantic Context Vectors and their Applications in Supervising Image Reconstruction
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Wendi Yang
Yujia Li
Lei Xing
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275
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31 Oct 2024
Adaptive Selection of Sampling-Reconstruction in Fourier Compressed Sensing
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Jaehyeok Bae
Jongho Lee
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188
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18 Sep 2024
LSST: Learned Single-Shot Trajectory and Reconstruction Network for MR Imaging
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Sudhanya Chatterjee
D. Shanbhag
Uday Patil
K.V.S. Hari
194
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08 Aug 2024
Adaptive Compressed Sensing with Diffusion-Based Posterior Sampling
Noam Elata
T. Michaeli
Michael Elad
DiffM
MedIm
247
12
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11 Jul 2024
The MRI Scanner as a Diagnostic: Image-less Active Sampling
Yuning Du
R. Dharmakumar
Sotirios A. Tsaftaris
185
3
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24 Jun 2024
Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction
International Conference on Machine Learning (ICML), 2024
Chen-Yu Yen
Raghav Singhal
Umang Sharma
Rajesh Ranganath
S. Chopra
Lerrel Pinto
193
5
0
06 Jun 2024
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
231
1
0
08 Mar 2024
Uncertainty Estimation in Contrast-Enhanced MR Image Translation with Multi-Axis Fusion
IEEE International Symposium on Biomedical Imaging (ISBI), 2023
Ivo M. Baltruschat
Parvaneh Janbakhshi
Melanie Dohmen
Matthias Lenga
MedIm
213
2
0
20 Nov 2023
On the Quantification of Image Reconstruction Uncertainty without Training Data
Sirui Bi
Victor Fung
Jiaxin Zhang
202
5
0
16 Nov 2023
A comprehensive survey on deep active learning in medical image analysis
Haoran Wang
Q. Jin
Shiman Li
Siyu Liu
Manning Wang
Zhijian Song
VLM
395
72
0
22 Oct 2023
A review of uncertainty quantification in medical image analysis: probabilistic and non-probabilistic methods
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S. Ruan
Yucheng Xing
Mengling Feng
344
48
0
09 Oct 2023
Reinforcement Learning for Sampling on Temporal Medical Imaging Sequences
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247
1
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28 Aug 2023
Variational Imbalanced Regression: Fair Uncertainty Quantification via Probabilistic Smoothing
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Ziyan Wang
Hao Wang
UQCV
617
0
0
11 Jun 2023
USIM-DAL: Uncertainty-aware Statistical Image Modeling-based Dense Active Learning for Super-resolution
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Vikrant Rangnekar
Uddeshya Upadhyay
Zeynep Akata
Biplab Banerjee
198
5
0
27 May 2023
Learning Task-Specific Strategies for Accelerated MRI
IEEE Transactions on Computational Imaging (IEEE Trans. Comput. Imaging), 2023
Zihui Wu
Tianwei Yin
Yu Sun
R. Frost
A. Kouwe
Adrian Dalca
Katherine Bouman
193
7
0
25 Apr 2023
ALUM: Adversarial Data Uncertainty Modeling from Latent Model Uncertainty Compensation
Wei Wei
Jiahuan Zhou
Hongze Li
Yingying Wu
124
1
0
29 Mar 2023
Learning Federated Visual Prompt in Null Space for MRI Reconstruction
Computer Vision and Pattern Recognition (CVPR), 2023
Chun-Mei Feng
Bangjun Li
Xinxing Xu
Yong Liu
Huazhu Fu
W. Zuo
FedML
256
63
0
28 Mar 2023
PixCUE: Joint Uncertainty Estimation and Image Reconstruction in MRI using Deep Pixel Classification
Mevan Ekanayake
Kamlesh Pawar
Gary Egan
Zhaolin Chen
UQCV
158
1
0
28 Feb 2023
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
159
23
0
18 Feb 2023
A Review of Uncertainty Estimation and its Application in Medical Imaging
K. Zou
Zhihao Chen
Xuedong Yuan
Xiaojing Shen
Meng Wang
Huazhu Fu
UQCV
297
131
0
16 Feb 2023
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
289
5
0
27 Jan 2023
On Retrospective k-space Subsampling schemes For Deep MRI Reconstruction
Magnetic Resonance Imaging (MRI), 2023
George Yiasemis
Clara I. Sánchez
Jan-Jakob Sonke
Jonas Teuwen
430
23
0
20 Jan 2023
L2SR: Learning to Sample and Reconstruct for Accelerated MRI via Reinforcement Learning
Inverse Problems (IP), 2022
Pu Yang
Bin Dong
OffRL
AI4TS
192
0
0
05 Dec 2022
ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference
Nikita Durasov
Nik Dorndorf
Hieu M. Le
Pascal Fua
UQCV
281
17
0
21 Nov 2022
Active CT Reconstruction with a Learned Sampling Policy
ACM Multimedia (ACM MM), 2022
Member Ieee Ce Wang
Kun Shang
Member Ieee Haimiao Zhang
Shang Zhao
Senior Member Ieee Dong Liang
F. I. S. Kevin Zhou
175
7
0
03 Nov 2022
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
181
6
0
22 Oct 2022
A Path Towards Clinical Adaptation of Accelerated MRI
Michael S. Yao
M. Hansen
MedIm
311
2
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26 Aug 2022
PUERT: Probabilistic Under-sampling and Explicable Reconstruction Network for CS-MRI
IEEE Journal on Selected Topics in Signal Processing (IEEE JSTSP), 2022
Jingfen Xie
Jian Zhang
Yongbing Zhang
Xiangyang Ji
154
35
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24 Apr 2022
Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks
Computer Vision and Pattern Recognition (CVPR), 2022
Wei Peng
Li Feng
Guoying Zhao
Fan Liu
OOD
192
23
0
05 Apr 2022
On learning adaptive acquisition policies for undersampled multi-coil MRI reconstruction
International Conference on Medical Imaging with Deep Learning (MIDL), 2022
Timothy C. Bakker
Matthew Muckley
Adriana Romero Soriano
M. Drozdzal
Luis Villaseñor-Pineda
173
19
0
30 Mar 2022
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
245
2
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11 Mar 2022
Dual-Domain Reconstruction Networks with V-Net and K-Net for fast MRI
Magnetic Resonance in Medicine (MRM), 2022
Xiaohan Liu
Yanwei Pang
Ruiqi Jin
Yu Liu
Zhenchang Wang
164
40
0
11 Mar 2022
DSFormer: A Dual-domain Self-supervised Transformer for Accelerated Multi-contrast MRI Reconstruction
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Bo Zhou
Neel Dey
Jo Schlemper
S. Salehi
Chi Liu
James S. Duncan
M. Sofka
MedIm
185
66
0
26 Jan 2022
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
154
4
0
11 Nov 2021
A Survey on Epistemic (Model) Uncertainty in Supervised Learning: Recent Advances and Applications
Xinlei Zhou
Han Liu
Farhad Pourpanah
T. Zeng
Xizhao Wang
UQCV
UD
321
73
0
03 Nov 2021
Uncertainty-aware GAN with Adaptive Loss for Robust MRI Image Enhancement
Uddeshya Upadhyay
Viswanath P. Sudarshan
Suyash P. Awate
MedIm
197
25
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07 Oct 2021
A review and experimental evaluation of deep learning methods for MRI reconstruction
Arghya Pal
Yogesh Rathi
3DV
326
55
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17 Sep 2021
Deep MRI Reconstruction with Radial Subsampling
George Yiasemis
Chaoping Zhang
C. Sánchez
Jan-Jakob Sonke
Jonas Teuwen
325
9
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17 Aug 2021
Active 3D Shape Reconstruction from Vision and Touch
Neural Information Processing Systems (NeurIPS), 2021
Edward James Smith
David Meger
Luis Villaseñor-Pineda
Roberto Calandra
Jitendra Malik
Adriana Romero
M. Drozdzal
227
56
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20 Jul 2021
Unsupervised Embedding Learning from Uncertainty Momentum Modeling
Jiahuan Zhou
Yansong Tang
Fuchun Sun
Ying Nian Wu
145
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19 Jul 2021
Real-Time Mapping of Tissue Properties for Magnetic Resonance Fingerprinting
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
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Yong Chen
P. Yap
143
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Towards Robust Active Feature Acquisition
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Siyuan Shan
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Junier B. Oliva
TPM
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Uncertainty-Guided Progressive GANs for Medical Image Translation
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
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Yanbei Chen
Tobias Hepp
S. Gatidis
Zeynep Akata
MedIm
217
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End-to-End Sequential Sampling and Reconstruction for MRI
Tianwei Yin
Zihui Wu
He Sun
Adrian Dalca
Yisong Yue
Katherine Bouman
261
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13 May 2021
Deep reinforcement learning in medical imaging: A literature review
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Hoang Ngan Le
Khoa Luu
Hien V Nguyen
N. Ayache
LM&MA
OffRL
MedIm
161
168
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Active Sampling for Accelerated MRI with Low-Rank Tensors
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020
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Bo Zhao
Zheng Zhang
MedIm
258
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A Review of Uncertainty Quantification in Deep Learning: Techniques, Applications and Challenges
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Sadiq Hussain
Dana Rezazadegan
Tianpeng Liu
...
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Abbas Khosravi
U. Acharya
V. Makarenkov
S. Nahavandi
BDL
UQCV
955
2,296
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Experimental design for MRI by greedy policy search
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H. V. Hoof
Max Welling
249
62
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Towards learned optimal q-space sampling in diffusion MRI
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S. Vedula
Ortal Senouf
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A. Bronstein
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07 Sep 2020
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