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2001.02518
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Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge
Magnetic Resonance in Medicine (MRM), 2020
6 January 2020
Florian Knoll
Tullie Murrell
Anuroop Sriram
N. Yakubova
Jure Zbontar
Michael G. Rabbat
Aaron Defazio
Matthew Muckley
D. Sodickson
C. L. Zitnick
M. Recht
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Papers citing
"Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge"
50 / 67 papers shown
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Efficient Noise Calculation in Deep Learning-based MRI Reconstructions
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JotlasNet: Joint Tensor Low-Rank and Attention-based Sparse Unrolling Network for Accelerating Dynamic MRI
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A Trust-Guided Approach to MR Image Reconstruction with Side Information
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Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI
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Jan-Jakob Sonke
Jonas Teuwen
467
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27 Nov 2024
The object detection method aids in image reconstruction evaluation and clinical interpretation of meniscal abnormalities
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Aniket A. Tolpadi
Felix Liu
Zehra Akkaya
F. Gassert
...
J. Luitjens
Misung Han
E. Bahroos
Sharmila Majumdar
V. Pedoia
317
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16 Jul 2024
On Instabilities of Unsupervised Denoising Diffusion Models in Magnetic Resonance Imaging Reconstruction
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S. Nebelung
Firas Khader
Jakob Nikolas Kather
Daniel Truhn
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271
1
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23 Jun 2024
Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction
International Conference on Machine Learning (ICML), 2024
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Raghav Singhal
Umang Sharma
Rajesh Ranganath
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Lerrel Pinto
277
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A study of why we need to reassess full reference image quality assessment with medical images
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A. Biguri
Malena Sabaté Landman
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Lipeng Ning
Sören Dittmer
Michael Roberts
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Carola-Bibiane Schönlieb
389
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NeRF Solves Undersampled MRI Reconstruction
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Chang Min Hyun
284
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20 Feb 2024
Robustness of Deep Learning for Accelerated MRI: Benefits of Diverse Training Data
International Conference on Machine Learning (ICML), 2023
Kang Lin
Reinhard Heckel
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243
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16 Dec 2023
Towards Architecture-Agnostic Untrained Network Priors for Image Reconstruction with Frequency Regularization
European Conference on Computer Vision (ECCV), 2023
Yilin Liu
Yunkui Pang
Jiang-Ping Li
Yong Chen
P. Yap
455
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15 Dec 2023
NoSENSE: Learned unrolled cardiac MRI reconstruction without explicit sensitivity maps
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A. Kofler
219
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27 Sep 2023
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private data
L. Boulogne
Julian Lorenz
Daniel Kienzle
Robin Schon
K. Ludwig
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C. Russ
R. Ionasec
Nikos Paragios
Bram van Ginneken
Marieke Dubois
286
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18 Jun 2023
Predicting dynamic, motion-related changes in B0 field in the brain at a 7 T MRI using a subject-specific fine-tuned U-net
Stanislav Motyka
Paul Weiser
Beáta Bachratá
L. Hingerl
Bernhard Strasser
...
M. Zaitsev
S. Robinson
Georg Langs
S. Trattnig
W. Bogner
MedIm
196
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17 Apr 2023
HyperSLICE: HyperBand optimized Spiral for Low-latency Interactive Cardiac Examination
Magnetic Resonance in Medicine (MRM), 2023
Oliver Jaubert
Javier Montalt-Tordera
Dan Knight
Simon Arridge
J. Steeden
V. Muthurangu
214
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06 Feb 2023
On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease
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Mukund Sudarshan
Anish Mahishi
S. Kaushik
L. Ginocchio
A. Tong
H. Chandarana
D. Sodickson
Rajesh Ranganath
S. Chopra
396
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27 Jan 2023
Computationally Efficient 3D MRI Reconstruction with Adaptive MLP
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023
Eric Z. Chen
Chi Zhang
Xiao Chen
Yikang Liu
Terrence Chen
Shanhui Sun
MedIm
232
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0
21 Jan 2023
Experimental Design for Multi-Channel Imaging via Task-Driven Feature Selection
International Conference on Learning Representations (ICLR), 2022
Stefano B. Blumberg
Paddy J. Slator
Daniel C. Alexander
460
1
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13 Oct 2022
Scaling Laws For Deep Learning Based Image Reconstruction
International Conference on Learning Representations (ICLR), 2022
Tobit Klug
Reinhard Heckel
292
18
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27 Sep 2022
A Densely Interconnected Network for Deep Learning Accelerated MRI
Magnetic Resonance Materials in Physics, Biology and Medicine (MAGMA), 2022
Jon André Ottesen
M. Caan
I. Groote
A. Bjørnerud
328
12
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05 Jul 2022
Near-Exact Recovery for Tomographic Inverse Problems via Deep Learning
International Conference on Machine Learning (ICML), 2022
Martin Genzel
Ingo Gühring
Jan Macdonald
M. März
289
31
0
14 Jun 2022
Invertible Sharpening Network for MRI Reconstruction Enhancement
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Siyuan Dong
Eric Z. Chen
Lin Zhao
Xiao Chen
Yikang Liu
Terrence Chen
Shanhui Sun
241
5
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06 Jun 2022
Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Beliz Gunel
Arda Sahiner
Arjun D Desai
Akshay S. Chaudhari
S. Vasanawala
Mert Pilanci
John M. Pauly
MedIm
204
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21 Apr 2022
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers
Jiahao Huang
D. C. Marshall
Yang Nan
Huanjun Wu
Yinzhe Wu
...
Zidong Wang
Pietro Lio
Daniel Rueckert
Yonina C. Eldar
Guang Yang
OOD
MedIm
183
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01 Apr 2022
FReSCO: Flow Reconstruction and Segmentation for low latency Cardiac Output monitoring using deep artifact suppression and segmentation
Magnetic Resonance in Medicine (MRM), 2022
O. Jaubert
Javier Montalt-Tordera
James T Brown
D. Knight
Simon Arridge
J. Steeden
V. Muthurangu
226
5
0
25 Mar 2022
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging
IEEE Signal Processing Magazine (IEEE Signal Process. Mag.), 2022
Kerstin Hammernik
Thomas Kustner
Burhaneddin Yaman
Zhengnan Huang
Daniel Rueckert
Florian Knoll
Mehmet Akçakaya
PINN
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AI4CE
471
122
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23 Mar 2022
SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation
Arjun D Desai
Andrew M Schmidt
E. Rubin
Christopher M. Sandino
Marianne S. Black
...
R. Boutin
Christopher Ré
G. Gold
B. Hargreaves
Akshay S. Chaudhari
314
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14 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
348
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11 Mar 2022
Undersampled MRI Reconstruction with Side Information-Guided Normalisation
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Xinwen Liu
Jing Wang
Cheng-Fang Peng
Shekhar S. Chandra
Yifan Zhang
S. Kevin Zhou
OOD
218
6
0
07 Mar 2022
Deep, Deep Learning with BART
Magnetic Resonance in Medicine (MRM), 2022
Moritz Blumenthal
Guanxiong Luo
Martin Schilling
H. C. M. Holme
M. Uecker
235
22
0
28 Feb 2022
Gradient-Based Learning of Discrete Structured Measurement Operators for Signal Recovery
IEEE Journal on Selected Areas in Information Theory (JSAIT), 2022
Jonathan Sauder
Martin Genzel
P. Jung
210
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07 Feb 2022
Image-to-Image MLP-mixer for Image Reconstruction
Youssef Mansour
Kang Lin
Reinhard Heckel
SupR
329
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04 Feb 2022
Iterative training of robust k-space interpolation networks for improved image reconstruction with limited scan specific training samples
Magnetic Resonance in Medicine (MRM), 2022
Peter Dawood
F. Breuer
P. Burd
I. Homolya
Johannes Oberberger
P. Jakob
M. Blaimer
283
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10 Jan 2022
Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstruction
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F. Vos
M. Caan
OOD
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358
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WARPd: A linearly convergent first-order method for inverse problems with approximate sharpness conditions
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End-to-End AI-based MRI Reconstruction and Lesion Detection Pipeline for Evaluation of Deep Learning Image Reconstruction
Ruiyang Zhao
Yuxin Zhang
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M. Lungren
M. Hansen
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251
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fastMRI+: Clinical Pathology Annotations for Knee and Brain Fully Sampled Multi-Coil MRI Data
Ruiyang Zhao
Burhaneddin Yaman
Yuxin Zhang
Russell Stewart
Austin X. Dixon
Florian Knoll
Zhengnan Huang
Yvonne W. Lui
M. Hansen
M. Lungren
233
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08 Sep 2021
Multi-Modal MRI Reconstruction Assisted with Spatial Alignment Network
IEEE Transactions on Medical Imaging (IEEE TMI), 2021
Kai Xuan
L. Xiang
Xiaoqian Huang
Lichi Zhang
Shu Liao
Dinggang Shen
Qian Wang
554
43
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12 Aug 2021
Optimal MRI Undersampling Patterns for Ultimate Benefit of Medical Vision Tasks
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
A. Razumov
Oleg Y. Rogov
Dmitry V. Dylov
312
11
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10 Aug 2021
Estimating MRI Image Quality via Image Reconstruction Uncertainty
Richard Shaw
Carole H. Sudre
Sebastien Ourselin
M. Jorge Cardoso
176
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21 Jun 2021
AAPM DL-Sparse-View CT Challenge Submission Report: Designing an Iterative Network for Fanbeam-CT with Unknown Geometry
Martin Genzel
Jan Macdonald
M. März
251
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01 Jun 2021
End-to-End Sequential Sampling and Reconstruction for MRI
Tianwei Yin
Zihui Wu
He Sun
Adrian Dalca
Yisong Yue
Katherine Bouman
311
21
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13 May 2021
Universal Undersampled MRI Reconstruction
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
Xinwen Liu
Jing Wang
Feng Liu
S.Kevin Zhou
OOD
174
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09 Mar 2021
Towards Ultrafast MRI via Extreme k-Space Undersampling and Superresolution
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2021
A. Belov
J. Stadelmann
Sergey Kastryulin
Dmitry V. Dylov
216
7
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04 Mar 2021
On Instabilities of Conventional Multi-Coil MRI Reconstruction to Small Adverserial Perturbations
Fangqiu Yi
Jinghan Jia
Burhaneddin Yaman
S. Moeller
Sijia Liu
Mingyi Hong
Mehmet Akçakaya
AAML
182
8
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25 Feb 2021
A multispeaker dataset of raw and reconstructed speech production real-time MRI video and 3D volumetric images
Scientific Data (Sci Data), 2021
Yongwan Lim
Asterios Toutios
Yannick Bliesener
Ye Tian
S. Lingala
...
Bianca Godinez
Louis Goldstein
D. Byrd
K. Nayak
Shrikanth S. Narayanan
222
66
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16 Feb 2021
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