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Unpaired Deep Learning for Accelerated MRI using Optimal Transport
  Driven CycleGAN

Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGAN

29 August 2020
Gyutaek Oh
Byeongsu Sim
Hyungjin Chung
Leonard Sunwoo
J. C. Ye
    OOD
    MedIm
ArXivPDFHTML

Papers citing "Unpaired Deep Learning for Accelerated MRI using Optimal Transport Driven CycleGAN"

29 / 29 papers shown
Title
Benchmarking Self-Supervised Learning Methods for Accelerated MRI Reconstruction
Benchmarking Self-Supervised Learning Methods for Accelerated MRI Reconstruction
Andrew Wang
Steven McDonagh
Mike Davies
OOD
SSL
109
0
0
19 Feb 2025
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
28
1
0
20 Sep 2024
Spatial and Modal Optimal Transport for Fast Cross-Modal MRI
  Reconstruction
Spatial and Modal Optimal Transport for Fast Cross-Modal MRI Reconstruction
Qi Wang
Zhijie Wen
Jun Shi
Qian Wang
Dinggang Shen
Shihui Ying
MedIm
25
2
0
04 May 2023
Meta-Learning Enabled Score-Based Generative Model for 1.5T-Like Image
  Reconstruction from 0.5T MRI
Meta-Learning Enabled Score-Based Generative Model for 1.5T-Like Image Reconstruction from 0.5T MRI
S. He
Congcong Liu
Chentao Cao
Yuanyuan Liu
Yaxiong Lei
Qingyong Zhu
Yanjie Zhu
Haifeng Wang
Dong Liang
MedIm
DiffM
11
2
0
04 May 2023
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
32
5
0
24 Nov 2022
Measurement-Consistent Networks via a Deep Implicit Layer for Solving
  Inverse Problems
Measurement-Consistent Networks via a Deep Implicit Layer for Solving Inverse Problems
Rahul Mourya
João F. C. Mota
22
2
0
06 Nov 2022
High-Frequency Space Diffusion Models for Accelerated MRI
High-Frequency Space Diffusion Models for Accelerated MRI
Chentao Cao
Zhuoxu Cui
Yue Wang
Shaonan Liu
Taijin Chen
Hairong Zheng
Dong Liang
Yanjie Zhu
DiffM
MedIm
30
50
0
10 Aug 2022
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
24
184
0
12 Jul 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
33
14
0
07 May 2022
Physics-Driven Deep Learning for Computational Magnetic Resonance
  Imaging
Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging
Kerstin Hammernik
Thomas Kustner
Burhaneddin Yaman
Zhengnan Huang
Daniel Rueckert
Florian Knoll
Mehmet Akçakaya
PINN
MedIm
AI4CE
24
69
0
23 Mar 2022
Federated Learning of Generative Image Priors for MRI Reconstruction
Federated Learning of Generative Image Priors for MRI Reconstruction
Gokberk Elmas
S. Dar
Yilmaz Korkmaz
Emir Ceyani
Burak Susam
Muzaffer Özbey
Salman Avestimehr
Tolga cCukur
FedML
MedIm
AI4CE
11
87
0
08 Feb 2022
AI-based Reconstruction for Fast MRI -- A Systematic Review and
  Meta-analysis
AI-based Reconstruction for Fast MRI -- A Systematic Review and Meta-analysis
Yutong Chen
Carola-Bibiane Schönlieb
Pietro Lio'
T. Leiner
P. Dragotti
Ge Wang
Daniel Rueckert
D. Firmin
Guang Yang
20
85
0
23 Dec 2021
Tunable Image Quality Control of 3-D Ultrasound using Switchable
  CycleGAN
Tunable Image Quality Control of 3-D Ultrasound using Switchable CycleGAN
Jaeyoung Huh
Shujaat Khan
S. Choi
Dongkuk Shin
Eunha Lee
Jong Chul Ye
MedIm
9
1
0
06 Dec 2021
Score-based diffusion models for accelerated MRI
Score-based diffusion models for accelerated MRI
Hyungjin Chung
Jong Chul Ye
DiffM
MedIm
31
398
0
08 Oct 2021
Optimal MRI Undersampling Patterns for Ultimate Benefit of Medical
  Vision Tasks
Optimal MRI Undersampling Patterns for Ultimate Benefit of Medical Vision Tasks
A. Razumov
Oleg Y. Rogov
Dmitry V. Dylov
25
9
0
10 Aug 2021
Known Operator Learning and Hybrid Machine Learning in Medical Imaging
  -- A Review of the Past, the Present, and the Future
Known Operator Learning and Hybrid Machine Learning in Medical Imaging -- A Review of the Past, the Present, and the Future
Andreas K. Maier
Harald Kostler
M. Heisig
P. Krauss
S. Yang
MedIm
10
29
0
10 Aug 2021
Regularising Inverse Problems with Generative Machine Learning Models
Regularising Inverse Problems with Generative Machine Learning Models
Margaret Duff
Neill D. F. Campbell
Matthias Joachim Ehrhardt
GAN
MedIm
21
34
0
22 Jul 2021
Federated CycleGAN for Privacy-Preserving Image-to-Image Translation
Federated CycleGAN for Privacy-Preserving Image-to-Image Translation
Joonyoung Song
Jong Chul Ye
FedML
16
10
0
17 Jun 2021
Unsupervised Deep Learning Methods for Biological Image Reconstruction
  and Enhancement
Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement
Mehmet Akccakaya
Burhaneddin Yaman
Hyungjin Chung
Jong Chul Ye
MedIm
30
55
0
17 May 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
19
190
0
15 May 2021
Generative Adversarial Networks (GAN) Powered Fast Magnetic Resonance
  Imaging -- Mini Review, Comparison and Perspectives
Generative Adversarial Networks (GAN) Powered Fast Magnetic Resonance Imaging -- Mini Review, Comparison and Perspectives
Guang Yang
Jun Lv
Yutong Chen
Jiahao Huang
Jin Zhu
MedIm
24
9
0
04 May 2021
Simultaneous super-resolution and motion artifact removal in
  diffusion-weighted MRI using unsupervised deep learning
Simultaneous super-resolution and motion artifact removal in diffusion-weighted MRI using unsupervised deep learning
Hyungjin Chung
Jaehyun Kim
J. Yoon
J. Lee
Jong Chul Ye
DiffM
MedIm
28
8
0
01 May 2021
Cycle-free CycleGAN using Invertible Generator for Unsupervised Low-Dose
  CT Denoising
Cycle-free CycleGAN using Invertible Generator for Unsupervised Low-Dose CT Denoising
Taesung Kwon
Jong Chul Ye
MedIm
6
29
0
17 Apr 2021
CycleQSM: Unsupervised QSM Deep Learning using Physics-Informed CycleGAN
CycleQSM: Unsupervised QSM Deep Learning using Physics-Informed CycleGAN
Gyutaek Oh
Hyokyoung Bae
Hyun-Seo Ahn
Sung-Hong Park
J. C. Ye
MedIm
17
4
0
07 Dec 2020
Overcoming Measurement Inconsistency in Deep Learning for Linear Inverse
  Problems: Applications in Medical Imaging
Overcoming Measurement Inconsistency in Deep Learning for Linear Inverse Problems: Applications in Medical Imaging
Marija Vella
João F. C. Mota
16
4
0
29 Nov 2020
Self-Supervised Physics-Guided Deep Learning Reconstruction For
  High-Resolution 3D LGE CMR
Self-Supervised Physics-Guided Deep Learning Reconstruction For High-Resolution 3D LGE CMR
Burhaneddin Yaman
C. Shenoy
Zilin Deng
S. Moeller
Hossam El-Rewaidy
R. Nezafat
Mehmet Akçakaya
MedIm
12
18
0
18 Nov 2020
Unsupervised MR Motion Artifact Deep Learning using Outlier-Rejecting
  Bootstrap Aggregation
Unsupervised MR Motion Artifact Deep Learning using Outlier-Rejecting Bootstrap Aggregation
Gyutaek Oh
J. Lee
J. C. Ye
16
11
0
12 Nov 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
21
26
0
04 Aug 2020
Deep Learning with Domain Adaptation for Accelerated
  Projection-Reconstruction MR
Deep Learning with Domain Adaptation for Accelerated Projection-Reconstruction MR
Yoseob Han
J. Yoo
J. C. Ye
MedIm
OOD
98
231
0
03 Mar 2017
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