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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
From Coarse to Continuous: Progressive Refinement Implicit Neural Representation for Motion-Robust Anisotropic MRI Reconstruction
From Coarse to Continuous: Progressive Refinement Implicit Neural Representation for Motion-Robust Anisotropic MRI Reconstruction
Zhenxuan Zhang
Lipei Zhang
Yanqi Cheng
Zi Wang
Fanwen Wang
...
Jiahao Huang
Angelica I Aviles-Rivero
Zhifan Gao
Guang Yang
Peter J. Lally
21
0
0
19 Jun 2025
Purifying Shampoo: Investigating Shampoo's Heuristics by Decomposing its Preconditioner
Purifying Shampoo: Investigating Shampoo's Heuristics by Decomposing its Preconditioner
Runa Eschenhagen
Aaron Defazio
Tsung-Hsien Lee
Richard Turner
Hao-Jun Michael Shi
80
0
0
04 Jun 2025
Edge Computing for Physics-Driven AI in Computational MRI: A Feasibility Study
Edge Computing for Physics-Driven AI in Computational MRI: A Feasibility Study
Yasar Utku Alçalar
Yu Cao
Mehmet Akçakaya
18
0
0
30 May 2025
Towards Prospective Medical Image Reconstruction via Knowledge-Informed Dynamic Optimal Transport
Taoran Zheng
Xing Li
Yan Yang
Xiang Gu
Zongben Xu
Jian Sun
MedIm
85
0
0
23 May 2025
Guided Diffusion Sampling on Function Spaces with Applications to PDEs
Guided Diffusion Sampling on Function Spaces with Applications to PDEs
Jiachen Yao
Abbas Mammadov
Julius Berner
Gavin Kerrigan
Jong Chul Ye
Kamyar Azizzadenesheli
A. Anandkumar
DiffM
94
3
0
22 May 2025
Restoration Score Distillation: From Corrupted Diffusion Pretraining to One-Step High-Quality Generation
Restoration Score Distillation: From Corrupted Diffusion Pretraining to One-Step High-Quality Generation
Yasi Zhang
Tianyu Chen
Zhendong Wang
Ying Nian Wu
Mingyuan Zhou
Oscar Leong
DiffM
77
1
0
19 May 2025
Measurement Score-Based Diffusion Model
Measurement Score-Based Diffusion Model
Chicago Y. Park
Shirin Shoushtari
Hongyu An
Ulugbek S. Kamilov
DiffMMedIm
97
0
0
17 May 2025
Unsupervised Detection of Distribution Shift in Inverse Problems using Diffusion Models
Unsupervised Detection of Distribution Shift in Inverse Problems using Diffusion Models
Shirin Shoushtari
Edward P. Chandler
Yuanhao Wang
M. Salman Asif
Ulugbek S. Kamilov
DiffM
145
0
0
16 May 2025
UGoDIT: Unsupervised Group Deep Image Prior Via Transferable Weights
UGoDIT: Unsupervised Group Deep Image Prior Via Transferable Weights
Shijun Liang
Ismail Alkhouri
Siddhant Gautam
Qing Qu
S. Ravishankar
DiffMMedIm
70
0
0
16 May 2025
Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems
Conformal Bounds on Full-Reference Image Quality for Imaging Inverse Problems
Jeffrey Wen
Rizwan Ahmad
Philip Schniter
91
0
0
14 May 2025
Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review
Computationally Efficient Diffusion Models in Medical Imaging: A Comprehensive Review
Abdullah
Wei Chen
Ickjai Lee
Euijoon Ahn
MedIm
75
0
0
09 May 2025
Score-based Self-supervised MRI Denoising
Score-based Self-supervised MRI Denoising
Jiachen Tu
Yaokun Shi
Fan Lam
DiffM
89
3
0
08 May 2025
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
61
0
0
07 May 2025
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
Uncertainty Quantification for Machine Learning in Healthcare: A Survey
L. J. L. Lopez
Shaza Elsharief
Dhiyaa Al Jorf
Firas Darwish
Congbo Ma
Farah E. Shamout
544
0
0
04 May 2025
SCOPE-MRI: Bankart Lesion Detection as a Case Study in Data Curation and Deep Learning for Challenging Diagnoses
SCOPE-MRI: Bankart Lesion Detection as a Case Study in Data Curation and Deep Learning for Challenging Diagnoses
Sahil Sethi
Sai Reddy
Mansi Sakarvadia
Jordan Serotte
Darlington Nwaudo
Nicholas Maassen
Lewis Shi
82
0
0
29 Apr 2025
RSFR: A Coarse-to-Fine Reconstruction Framework for Diffusion Tensor Cardiac MRI with Semantic-Aware Refinement
RSFR: A Coarse-to-Fine Reconstruction Framework for Diffusion Tensor Cardiac MRI with Semantic-Aware Refinement
Jiahao Huang
Fanwen Wang
Pedro F. Ferreira
Haiqi Zhang
Yinzhe Wu
...
R. Rajakulasingam
Ranil De Silva
D. Pennell
Guang Yang
S. Nielles-Vallespin
DiffMMedIm
82
0
0
25 Apr 2025
Explicit and Implicit Representations in AI-based 3D Reconstruction for Radiology: A Systematic Review
Explicit and Implicit Representations in AI-based 3D Reconstruction for Radiology: A Systematic Review
Yuezhe Yang
Boyu Yang
Yaqian Wang
Yang He
Xingbo Dong
Zhe Jin
94
0
0
15 Apr 2025
DiffDenoise: Self-Supervised Medical Image Denoising with Conditional Diffusion Models
DiffDenoise: Self-Supervised Medical Image Denoising with Conditional Diffusion Models
Basar Demir
Yikang Liu
Xiao Chen
Eric Z. Chen
Lin Zhao
Boris Mailhe
Terrence Chen
Shanhui Sun
DiffMMedIm
102
0
0
31 Mar 2025
SNRAware: Improved Deep Learning MRI Denoising with SNR Unit Training and G-factor Map Augmentation
SNRAware: Improved Deep Learning MRI Denoising with SNR Unit Training and G-factor Map Augmentation
H. Xue
Sarah M. Hooper
Iain Pierce
R. Davies
John Stairs
...
C. Manisty
James C. Moon
T. Treibel
Peter Kellman
Michael S. Hansen
MedIm
106
0
0
23 Mar 2025
Deep End-to-End Posterior ENergy (DEEPEN) for image recovery
Deep End-to-End Posterior ENergy (DEEPEN) for image recovery
Jyothi Rikhab Chand
M. Jacob
DiffM
73
0
0
21 Mar 2025
Lightweight Hypercomplex MRI Reconstruction: A Generalized Kronecker-Parameterized Approach
Haiqi Zhang
Jiahao Huang
Yinzhe Wu
Congren Dai
Fanwen Wang
Zhenxuan Zhang
Guang Yang
148
0
0
13 Mar 2025
The R2D2 Deep Neural Network Series for Scalable Non-Cartesian Magnetic Resonance Imaging
Yiwei Chen
Amir Aghabiglou
Shijie Chen
Motahare Torki
Chao Tang
Ruud B. van Heeswijk
Yves Wiaux
83
0
0
12 Mar 2025
DDO-IN: Dual Domains Optimization for Implicit Neural Network to Eliminate Motion Artifact in Magnetic Resonance Imaging
Zhongyu Mai
Zewei Zhan
Hanyu Guo
Yulang Huang
Weifeng Su
70
0
0
11 Mar 2025
Reconstruct Anything Model: a lightweight foundation model for computational imaging
Reconstruct Anything Model: a lightweight foundation model for computational imaging
Matthieu Terris
Samuel Hurault
Maxime Song
Julian Tachella
MedImDiffM
136
4
0
11 Mar 2025
SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models
SemiSAM+: Rethinking Semi-Supervised Medical Image Segmentation in the Era of Foundation Models
Yichi Zhang
Bohao Lv
Le Xue
Wenbo Zhang
Yuchen Liu
Yu Fu
Yuan Cheng
Yuan Qi
VLMMedIm
89
0
0
28 Feb 2025
Deep unrolling for learning optimal spatially varying regularisation parameters for Total Generalised Variation
Deep unrolling for learning optimal spatially varying regularisation parameters for Total Generalised Variation
Thanh Trung Vu
Andreas Kofler
Kostas Papafitsoros
77
1
0
23 Feb 2025
JotlasNet: Joint Tensor Low-Rank and Attention-based Sparse Unrolling Network for Accelerating Dynamic MRI
JotlasNet: Joint Tensor Low-Rank and Attention-based Sparse Unrolling Network for Accelerating Dynamic MRI
Yinghao Zhang
Haiyan Gui
Ningdi Yang
Yue Hu
130
0
0
17 Feb 2025
When, Where and Why to Average Weights?
When, Where and Why to Average Weights?
Niccolò Ajroldi
Antonio Orvieto
Jonas Geiping
MoMe
287
0
0
10 Feb 2025
A generalizable 3D framework and model for self-supervised learning in medical imaging
A generalizable 3D framework and model for self-supervised learning in medical imaging
Tony Xu
Sepehr Hosseini
Chris Anderson
Anthony Rinaldi
Rahul G. Krishnan
Anne L. Martel
Maged Goubran
MedIm
162
3
0
20 Jan 2025
Estimating Task-based Performance Bounds for Accelerated MRI Image Reconstruction Methods by Use of Learned-Ideal Observers
Estimating Task-based Performance Bounds for Accelerated MRI Image Reconstruction Methods by Use of Learned-Ideal Observers
Kaiyan Li
Prabhat Kc
Hua Li
Kyle J. Myers
M. Anastasio
Rongping Zeng
OOD
44
1
0
17 Jan 2025
Flemme: A Flexible and Modular Learning Platform for Medical Images
Flemme: A Flexible and Modular Learning Platform for Medical Images
Guoqing Zhang
Jingyun Yang
Yang Li
MedIm
79
1
0
08 Jan 2025
MRI Reconstruction with Regularized 3D Diffusion Model (R3DM)
MRI Reconstruction with Regularized 3D Diffusion Model (R3DM)
Arya Bangun
Zhuo Cao
Alessio Quercia
Hanno Scharr
Elisabeth Pfaehler
MedIm
79
1
0
25 Dec 2024
Pruning Unrolled Networks (PUN) at Initialization for MRI Reconstruction
  Improves Generalization
Pruning Unrolled Networks (PUN) at Initialization for MRI Reconstruction Improves Generalization
Shijun Liang
Evan Bell
Avrajit Ghosh
S. Ravishankar
82
0
0
24 Dec 2024
Resolution-Robust 3D MRI Reconstruction with 2D Diffusion Priors:
  Diverse-Resolution Training Outperforms Interpolation
Resolution-Robust 3D MRI Reconstruction with 2D Diffusion Priors: Diverse-Resolution Training Outperforms Interpolation
Anselm Krainovic
Stefan Ruschke
Reinhard Heckel
MedIm
74
0
0
24 Dec 2024
Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency
  Modulation, Spatial Purification, and Scale Diversification
Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification
Yucong Meng
Zhiwei Yang
Yonghong Shi
Zhijian Song
120
2
0
14 Dec 2024
Diff5T: Benchmarking Human Brain Diffusion MRI with an Extensive 5.0
  Tesla K-Space and Spatial Dataset
Diff5T: Benchmarking Human Brain Diffusion MRI with an Extensive 5.0 Tesla K-Space and Spatial Dataset
Shanshan Wang
Shoujun Yu
Jian Cheng
Sen Jia
Changjun Tie
...
Qi Yang
Qiyuan Tian
Hua Guo
Guobin Li
Hairong Zheng
MedIm
94
1
0
09 Dec 2024
Continuous K-space Recovery Network with Image Guidance for Fast MRI Reconstruction
Yucong Meng
Zhiwei Yang
Minghong Duan
Yonghong Shi
Zhijian Song
140
1
0
18 Nov 2024
LDPM: Towards undersampled MRI reconstruction with MR-VAE and Latent Diffusion Prior
LDPM: Towards undersampled MRI reconstruction with MR-VAE and Latent Diffusion Prior
Xingjian Tang
Jingwei Guan
Linge Li
Ran Shi
Youmei Zhang
Mengye Lyu
Li Yan
MedImDiffM
171
0
0
05 Nov 2024
pcaGAN: Improving Posterior-Sampling cGANs via Principal Component
  Regularization
pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization
Matthew Bendel
Rizwan Ahmad
P. Schniter
MedImDiffM
82
1
0
01 Nov 2024
Denoising Diffusion Models for Anomaly Localization in Medical Images
Denoising Diffusion Models for Anomaly Localization in Medical Images
Cosmin I. Bercea
P. Cattin
Julia A. Schnabel
J. Wolleb
DiffMMedIm
66
1
0
31 Oct 2024
Loss Landscape Characterization of Neural Networks without
  Over-Parametrization
Loss Landscape Characterization of Neural Networks without Over-Parametrization
Rustem Islamov
Niccolò Ajroldi
Antonio Orvieto
Aurelien Lucchi
80
4
0
16 Oct 2024
Fully Unsupervised Dynamic MRI Reconstruction via Diffeo-Temporal Equivariance
Fully Unsupervised Dynamic MRI Reconstruction via Diffeo-Temporal Equivariance
Andrew Wang
Mike Davies
MedIm
111
3
0
11 Oct 2024
Configurable Multilingual ASR with Speech Summary Representations
Configurable Multilingual ASR with Speech Summary Representations
Harrison Zhu
Ivan Fung
Yingke Zhu
Lahiru Samarakoon
80
5
0
06 Oct 2024
A Unified Model for Compressed Sensing MRI Across Undersampling Patterns
A Unified Model for Compressed Sensing MRI Across Undersampling Patterns
Armeet Singh Jatyani
Jiayun Wang
Zihui Wu
Miguel Liu-Schiaffini
Bahareh Tolooshams
Anima Anandkumar
Anima Anandkumar
77
2
0
05 Oct 2024
Diffusion State-Guided Projected Gradient for Inverse Problems
Diffusion State-Guided Projected Gradient for Inverse Problems
Rayhan Zirvi
Bahareh Tolooshams
Anima Anandkumar
DiffM
201
4
0
04 Oct 2024
Forte : Finding Outliers with Representation Typicality Estimation
Forte : Finding Outliers with Representation Typicality Estimation
Debargha Ganguly
Warren Morningstar
A. Yu
Vipin Chaudhary
OODD
93
2
0
02 Oct 2024
A Survey on Diffusion Models for Inverse Problems
A Survey on Diffusion Models for Inverse Problems
Giannis Daras
Hyungjin Chung
Chieh-Hsin Lai
Yuki Mitsufuji
Jong Chul Ye
P. Milanfar
Alexandros G. Dimakis
M. Delbracio
MedIm
122
65
0
30 Sep 2024
Accelerated Multi-Contrast MRI Reconstruction via Frequency and Spatial
  Mutual Learning
Accelerated Multi-Contrast MRI Reconstruction via Frequency and Spatial Mutual Learning
Qi Chen
Xiaohan Xing
Zhen Chen
Zhiwei Xiong
49
1
0
21 Sep 2024
A Plug-and-Play Method for Guided Multi-contrast MRI Reconstruction based on Content/Style Modeling
A Plug-and-Play Method for Guided Multi-contrast MRI Reconstruction based on Content/Style Modeling
Chinmay Rao
M. Osch
Nicola Pezzotti
J. de Bresser
Laurens Beljaards
J. Meineke
E. Weerdt
Huangling Lu
M. Doneva
Marius Staring
95
1
0
20 Sep 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
61
0
0
18 Sep 2024
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