ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1811.08839
  4. Cited By
fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
v1v2 (latest)

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

21 November 2018
Jure Zbontar
Florian Knoll
Anuroop Sriram
Tullie Murrell
Zhengnan Huang
Matthew Muckley
Aaron Defazio
Ruben Stern
Patricia M. Johnson
M. Bruno
Marc Parente
Krzysztof J. Geras
Joe Katsnelson
H. Chandarana
Zizhao Zhang
M. Drozdzal
Adriana Romero
Michael G. Rabbat
Pascal Vincent
N. Yakubova
James Pinkerton
Duo Wang
Erich Owens
C. L. Zitnick
M. Recht
D. Sodickson
Yvonne W. Lui
    OOD
ArXiv (abs)PDFHTML

Papers citing "fastMRI: An Open Dataset and Benchmarks for Accelerated MRI"

50 / 399 papers shown
Title
CL-MRI: Self-Supervised Contrastive Learning to Improve the Accuracy of
  Undersampled MRI Reconstruction
CL-MRI: Self-Supervised Contrastive Learning to Improve the Accuracy of Undersampled MRI Reconstruction
Mevan Ekanayake
Zhiwen Chen
Mehrtash Harandi
Gary Egan
Zhaolin Chen
83
3
0
01 Jun 2023
Analyzing the Sample Complexity of Self-Supervised Image Reconstruction
  Methods
Analyzing the Sample Complexity of Self-Supervised Image Reconstruction Methods
Tobit Klug
Dogukan Atik
Reinhard Heckel
68
8
0
30 May 2023
Physics-Informed Computer Vision: A Review and Perspectives
Physics-Informed Computer Vision: A Review and Perspectives
C. Banerjee
Kien Nguyen
Clinton Fookes
G. Karniadakis
PINNAI4CE
90
33
0
29 May 2023
Constrained Probabilistic Mask Learning for Task-specific Undersampled
  MRI Reconstruction
Constrained Probabilistic Mask Learning for Task-specific Undersampled MRI Reconstruction
Tobias Weber
Michael Ingrisch
Bernd Bischl
David Rügamer
77
2
0
25 May 2023
GSURE-Based Diffusion Model Training with Corrupted Data
GSURE-Based Diffusion Model Training with Corrupted Data
Bahjat Kawar
Noam Elata
T. Michaeli
Michael Elad
DiffM
145
31
0
22 May 2023
Refining Amortized Posterior Approximations using Gradient-Based Summary
  Statistics
Refining Amortized Posterior Approximations using Gradient-Based Summary Statistics
Rafael Orozco
Ali Siahkoohi
M. Louboutin
Felix J. Herrmann
71
3
0
15 May 2023
Uncertainty Estimation and Out-of-Distribution Detection for Deep
  Learning-Based Image Reconstruction using the Local Lipschitz
Uncertainty Estimation and Out-of-Distribution Detection for Deep Learning-Based Image Reconstruction using the Local Lipschitz
D. Bhutto
Bo Zhu
J. Liu
Neha Koonjoo
H. Li
Bruce Rosen
Matthew S. Rosen
UQCVOOD
141
2
0
12 May 2023
Deep Learning for Retrospective Motion Correction in MRI: A
  Comprehensive Review
Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review
Veronika Spieker
H. Eichhorn
Kerstin Hammernik
Daniel Rueckert
C. Preibisch
D. Karampinos
Julia A. Schnabel
MedIm
83
37
0
11 May 2023
A Variational Perspective on Solving Inverse Problems with Diffusion
  Models
A Variational Perspective on Solving Inverse Problems with Diffusion Models
Morteza Mardani
Jiaming Song
Jan Kautz
Arash Vahdat
DiffM
100
146
0
07 May 2023
Solving Inverse Problems with Score-Based Generative Priors learned from
  Noisy Data
Solving Inverse Problems with Score-Based Generative Priors learned from Noisy Data
Asad Aali
Marius Arvinte
Sidharth Kumar
Jonathan I. Tamir
DiffMMedIm
100
33
0
02 May 2023
DD-CISENet: Dual-Domain Cross-Iteration Squeeze and Excitation Network
  for Accelerated MRI Reconstruction
DD-CISENet: Dual-Domain Cross-Iteration Squeeze and Excitation Network for Accelerated MRI Reconstruction
Xiongchao Chen
Zhigang Peng
Gerardo Hermosillo Valadez
50
3
0
28 Apr 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
Fast MRI Reconstruction via Edge Attention
Fast MRI Reconstruction via Edge Attention
Hanhui Yang
Juncheng Li
L. Lui
Shihui Ying
Jun Shi
T. Zeng
52
7
0
22 Apr 2023
A Comparison of Image Denoising Methods
A Comparison of Image Denoising Methods
Zhaoming Kong
Fang Deng
Haomin Zhuang
Jun Yu
Lifang He
Xiaowei Yang
103
7
0
18 Apr 2023
Uncertainty-Aware Null Space Networks for Data-Consistent Image
  Reconstruction
Uncertainty-Aware Null Space Networks for Data-Consistent Image Reconstruction
Christoph Angermann
Simon Göppel
Markus Haltmeier
65
2
0
14 Apr 2023
SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for
  Accelerated MRI
SPIRiT-Diffusion: Self-Consistency Driven Diffusion Model for Accelerated MRI
Zhuoxu Cui
Chentao Cao
Yue Wang
Seng Jia
Jing Cheng
Xin Liu
Hairong Zheng
Dong Liang
Yanjie Zhu
MedImDiffM
58
9
0
11 Apr 2023
GA-HQS: MRI reconstruction via a generically accelerated unfolding
  approach
GA-HQS: MRI reconstruction via a generically accelerated unfolding approach
Jiawei Jiang
Yuchao Feng
Honghui Xu
Wanjun Chen
Jian Zheng
MedIm
80
11
0
06 Apr 2023
Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance
  Reconstruction: A Comparison Study
Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction: A Comparison Study
Jiahao Huang
Pedro F. Ferreira
Lichao Wang
Yinzhe Wu
Angelica I. Aviles-Rivero
...
R. Rajakulasingam
Ranil De Silva
D. Pennell
S. Nielles-Vallespin
Guang Yang
DiffM
64
8
0
31 Mar 2023
Zero-Shot Noise2Noise: Efficient Image Denoising without any Data
Zero-Shot Noise2Noise: Efficient Image Denoising without any Data
Youssef Mansour
Reinhard Heckel
VLM
84
86
0
20 Mar 2023
Exploring the Power of Generative Deep Learning for Image-to-Image
  Translation and MRI Reconstruction: A Cross-Domain Review
Exploring the Power of Generative Deep Learning for Image-to-Image Translation and MRI Reconstruction: A Cross-Domain Review
Yuda Bi
MedIm
69
0
0
16 Mar 2023
SMUG: Towards robust MRI reconstruction by smoothed unrolling
SMUG: Towards robust MRI reconstruction by smoothed unrolling
Hui Li
Jinghan Jia
Shijun Liang
Yuguang Yao
S. Ravishankar
Sijia Liu
90
4
0
14 Mar 2023
Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse
  Problems
Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems
Hyungjin Chung
Suhyeon Lee
Jong Chul Ye
DiffMMedIm
83
80
0
10 Mar 2023
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty
  Quantification
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification
Rafael Orozco
M. Louboutin
Ali Siahkoohi
G. Rizzuti
Tristan van Leeuwen
Felix J. Herrmann
OOD
75
13
0
06 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
AliasNet: Alias Artefact Suppression Network for Accelerated
  Phase-Encode MRI
AliasNet: Alias Artefact Suppression Network for Accelerated Phase-Encode MRI
M. B. Lorenzana
Shekhar S. Chandra
Feng Liu
86
1
0
17 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
Complex Network for Complex Problems: A comparative study of CNN and
  Complex-valued CNN
Complex Network for Complex Problems: A comparative study of CNN and Complex-valued CNN
S. Chatterjee
Pavan Tummala
Oliver Speck
A. Nürnberger
66
10
0
09 Feb 2023
An Unsupervised Framework for Joint MRI Super Resolution and Gibbs
  Artifact Removal
An Unsupervised Framework for Joint MRI Super Resolution and Gibbs Artifact Removal
Yikang Liu
Eric Z. Chen
Xiao Chen
Terrence Chen
Shanhui Sun
MedIm
64
1
0
06 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
Hierarchical Perception Adversarial Learning Framework for Compressed
  Sensing MRI
Hierarchical Perception Adversarial Learning Framework for Compressed Sensing MRI
Zhifan Gao
Yifeng Guo
Jiajing Zhang
T. Zeng
Guang Yang
MedIm
77
20
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
Learning-Rate-Free Learning by D-Adaptation
Learning-Rate-Free Learning by D-Adaptation
Aaron Defazio
Konstantin Mishchenko
110
85
0
18 Jan 2023
Large-scale Global Low-rank Optimization for Computational Compressed
  Imaging
Large-scale Global Low-rank Optimization for Computational Compressed Imaging
Daoyu Li
Hanwen Xu
Miao Cao
Xin Yuan
D. Brady
Liheng Bian
42
0
0
08 Jan 2023
Explicit Abnormality Extraction for Unsupervised Motion Artifact
  Reduction in Magnetic Resonance Imaging
Explicit Abnormality Extraction for Unsupervised Motion Artifact Reduction in Magnetic Resonance Imaging
Yusheng Zhou
Hao Li
Tao Huang
Zhengmin Kong
Tao Huang
Euijoon Ah
Zhihan Lv
Jinman Kim
David Dagan Feng
MedIm
87
1
0
04 Jan 2023
Holistic Multi-Slice Framework for Dynamic Simultaneous Multi-Slice MRI
  Reconstruction
Holistic Multi-Slice Framework for Dynamic Simultaneous Multi-Slice MRI Reconstruction
Daniel H. Pak
Xiao Chen
Eric Z. Chen
Yikang Liu
Terrence Chen
Shanhui Sun
33
0
0
03 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
63
0
0
05 Dec 2022
Deep unfolding as iterative regularization for imaging inverse problems
Deep unfolding as iterative regularization for imaging inverse problems
Zhuoxu Cui
Qingyong Zhu
Jing Cheng
Dong Liang
79
5
0
24 Nov 2022
Iterative Data Refinement for Self-Supervised MR Image Reconstruction
Iterative Data Refinement for Self-Supervised MR Image Reconstruction
Xuechi Liu
J. Zou
Xiawu Zheng
Cheng Li
Hairong Zheng
Shanshan Wang
56
1
0
24 Nov 2022
Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models
Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models
Hyungjin Chung
Dohoon Ryu
Michael T. McCann
M. Klasky
J. C. Ye
DiffMMedIm
98
113
0
19 Nov 2022
Diffusion Models for Medical Image Analysis: A Comprehensive Survey
Diffusion Models for Medical Image Analysis: A Comprehensive Survey
Amirhossein Kazerouni
Ehsan Khodapanah Aghdam
Moein Heidari
Reza Azad
Mohsen Fayyaz
Ilker Hacihaliloglu
Dorit Merhof
DiffMMedIm
135
397
0
14 Nov 2022
Improving Lipschitz-Constrained Neural Networks by Learning Activation
  Functions
Improving Lipschitz-Constrained Neural Networks by Learning Activation Functions
Stanislas Ducotterd
Alexis Goujon
Pakshal Bohra
Dimitris Perdios
Sebastian Neumayer
M. Unser
84
13
0
28 Oct 2022
Compressed Sensing MRI Reconstruction Regularized by VAEs with
  Structured Image Covariance
Compressed Sensing MRI Reconstruction Regularized by VAEs with Structured Image Covariance
Margaret Duff
Ivor J. A. Simpson
Matthias Joachim Ehrhardt
Neill D. F. Campbell
DiffMMedIm
47
5
0
26 Oct 2022
Stable Deep MRI Reconstruction using Generative Priors
Stable Deep MRI Reconstruction using Generative Priors
Martin Zach
Florian Knoll
Thomas Pock
OODMedImDiffM
149
17
0
25 Oct 2022
A Regularized Conditional GAN for Posterior Sampling in Image Recovery
  Problems
A Regularized Conditional GAN for Posterior Sampling in Image Recovery Problems
Matthew Bendel
Rizwan Ahmad
Philip Schniter
MedIm
108
6
0
24 Oct 2022
E-Valuating Classifier Two-Sample Tests
E-Valuating Classifier Two-Sample Tests
T. Pandeva
Tim Bakker
C. A. Naesseth
Patrick Forré
78
12
0
24 Oct 2022
A Faithful Deep Sensitivity Estimation for Accelerated Magnetic
  Resonance Imaging
A Faithful Deep Sensitivity Estimation for Accelerated Magnetic Resonance Imaging
Zehao Wang
H. Fang
Chen Qian
Boxuan Shi
L. Bao
...
Jianjun Zhou
Wenping Wei
Jianzhong Lin
D. Guo
X. Qu
95
10
0
23 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
57
6
0
22 Oct 2022
Task-Based Assessment for Neural Networks: Evaluating Undersampled MRI
  Reconstructions based on Human Observer Signal Detection
Task-Based Assessment for Neural Networks: Evaluating Undersampled MRI Reconstructions based on Human Observer Signal Detection
Joshua Herman
Rachel E. Roca
Alexandra G. OÑeill
M. L. Wong
S. Lingala
A. Pineda
81
0
0
21 Oct 2022
Physics-informed Deep Diffusion MRI Reconstruction with Synthetic Data:
  Break Training Data Bottleneck in Artificial Intelligence
Physics-informed Deep Diffusion MRI Reconstruction with Synthetic Data: Break Training Data Bottleneck in Artificial Intelligence
Chen Qian
Yuncheng Gao
Mingyang Han
Zi Wang
Dan Ruan
...
Meijin Lin
D. Guo
Jianjun Zhou
Meiyun Wang
Xiaobo Qu
DiffMMedImOOD
130
0
0
20 Oct 2022
Previous
12345678
Next