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Unsupervised MRI Reconstruction with Generative Adversarial Networks

Unsupervised MRI Reconstruction with Generative Adversarial Networks

29 August 2020
Elizabeth K. Cole
John M. Pauly
S. Vasanawala
Frank Ong
    GAN
    MedIm
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Papers citing "Unsupervised MRI Reconstruction with Generative Adversarial Networks"

15 / 15 papers shown
Title
K-band: Self-supervised MRI Reconstruction via Stochastic Gradient
  Descent over K-space Subsets
K-band: Self-supervised MRI Reconstruction via Stochastic Gradient Descent over K-space Subsets
Frédéric Wang
Han Qi
A. D. Goyeneche
Reinhard Heckel
Michael Lustig
Efrat Shimron
33
5
0
05 Aug 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
40
17
0
18 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
36
5
0
27 Jan 2023
Adaptive Diffusion Priors for Accelerated MRI Reconstruction
Adaptive Diffusion Priors for Accelerated MRI Reconstruction
Alper Gungor
S. Dar
cSaban Ozturk
Yilmaz Korkmaz
Gokberk Elmas
Muzaffer Özbey
Tolga cCukur
DiffM
MedIm
29
184
0
12 Jul 2022
A theoretical framework for self-supervised MR image reconstruction
  using sub-sampling via variable density Noisier2Noise
A theoretical framework for self-supervised MR image reconstruction using sub-sampling via variable density Noisier2Noise
Charles Millard
M. Chiew
40
33
0
20 May 2022
Self-supervised Deep Unrolled Reconstruction Using Regularization by
  Denoising
Self-supervised Deep Unrolled Reconstruction Using Regularization by Denoising
Peizhou Huang
C. Zhang
Xiaoliang Zhang
Xiaojuan Li
Liang Dong
L. Ying
41
14
0
07 May 2022
Scale-Equivariant Unrolled Neural Networks for Data-Efficient
  Accelerated MRI Reconstruction
Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction
Beliz Gunel
Arda Sahiner
Arjun D Desai
Akshay S. Chaudhari
S. Vasanawala
Mert Pilanci
John M. Pauly
MedIm
14
7
0
21 Apr 2022
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and
  Methodologies from CNN, GAN to Attention and Transformers
Data and Physics Driven Learning Models for Fast MRI -- Fundamentals and Methodologies from CNN, GAN to Attention and Transformers
Jiahao Huang
Yingying Fang
Yang Nan
Huanjun Wu
Yinzhe Wu
...
Zidong Wang
Pietro Lio'
Daniel Rueckert
Yonina C. Eldar
Guang Yang
OOD
MedIm
39
3
0
01 Apr 2022
Monarch: Expressive Structured Matrices for Efficient and Accurate
  Training
Monarch: Expressive Structured Matrices for Efficient and Accurate Training
Tri Dao
Beidi Chen
N. Sohoni
Arjun D Desai
Michael Poli
Jessica Grogan
Alexander Liu
Aniruddh Rao
Atri Rudra
Christopher Ré
22
87
0
01 Apr 2022
Assessment of Data Consistency through Cascades of Independently
  Recurrent Inference Machines for fast and robust accelerated MRI
  reconstruction
Assessment of Data Consistency through Cascades of Independently Recurrent Inference Machines for fast and robust accelerated MRI reconstruction
D. Karkalousos
S. Noteboom
H. Hulst
F. Vos
M. Caan
OOD
AI4CE
25
10
0
30 Nov 2021
Robust Compressed Sensing MRI with Deep Generative Priors
Robust Compressed Sensing MRI with Deep Generative Priors
A. Jalal
Marius Arvinte
Giannis Daras
Eric Price
A. Dimakis
Jonathan I. Tamir
MedIm
41
322
0
03 Aug 2021
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial
  Transformers
Unsupervised MRI Reconstruction via Zero-Shot Learned Adversarial Transformers
Yilmaz Korkmaz
S. Dar
Mahmut Yurt
Muzaffer Özbey
Tolga Çukur
ViT
MedIm
27
190
0
15 May 2021
Machine Learning in Magnetic Resonance Imaging: Image Reconstruction
Machine Learning in Magnetic Resonance Imaging: Image Reconstruction
Javier Montalt-Tordera
V. Muthurangu
A. Hauptmann
J. Steeden
AI4CE
29
40
0
09 Dec 2020
Two-Stage Deep Learning for Accelerated 3D Time-of-Flight MRA without
  Matched Training Data
Two-Stage Deep Learning for Accelerated 3D Time-of-Flight MRA without Matched Training Data
Hyungjin Chung
Eunju Cha
Leonard Sunwoo
J. C. Ye
MedIm
28
26
0
04 Aug 2020
Wasserstein GANs for MR Imaging: from Paired to Unpaired Training
Wasserstein GANs for MR Imaging: from Paired to Unpaired Training
Ke Lei
Morteza Mardani
John M. Pauly
S. Vasanawala
GAN
MedIm
38
64
0
15 Oct 2019
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