ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1709.00753
  4. Cited By
Compressed Sensing MRI Reconstruction using a Generative Adversarial
  Network with a Cyclic Loss
v1v2 (latest)

Compressed Sensing MRI Reconstruction using a Generative Adversarial Network with a Cyclic Loss

3 September 2017
Tran Minh Quan
Thanh Nguyen-Duc
W. Jeong
    GANMedIm
ArXiv (abs)PDFHTML

Papers citing "Compressed Sensing MRI Reconstruction using a Generative Adversarial Network with a Cyclic Loss"

50 / 149 papers shown
Title
Deep Unrolled Meta-Learning for Multi-Coil and Multi-Modality MRI with Adaptive Optimization
Deep Unrolled Meta-Learning for Multi-Coil and Multi-Modality MRI with Adaptive Optimization
Merham Fouladvand
Peuroly Batra
250
0
0
08 May 2025
Exploring Siamese Networks in Self-Supervised Fast MRI Reconstruction
Exploring Siamese Networks in Self-Supervised Fast MRI Reconstruction
Liyan Sun
Shaocong Yu
Chi Zhang
Xinghao Ding
SSL
187
0
0
18 Jan 2025
MRI Reconstruction with Regularized 3D Diffusion Model (R3DM)
MRI Reconstruction with Regularized 3D Diffusion Model (R3DM)IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Arya Bangun
Zhuo Cao
Alessio Quercia
Hanno Scharr
Elisabeth Pfaehler
MedIm
186
4
0
25 Dec 2024
Continuous K-space Recovery Network with Image Guidance for Fast MRI Reconstruction
Yucong Meng
Zhiwei Yang
Minghong Duan
Yonghong Shi
Zhijian Song
304
1
0
18 Nov 2024
MS-Glance: Bio-Insipred Non-semantic Context Vectors and their
  Applications in Supervising Image Reconstruction
MS-Glance: Bio-Insipred Non-semantic Context Vectors and their Applications in Supervising Image ReconstructionIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Ziqi Gao
Wendi Yang
Yujia Li
Lei Xing
S. Kevin Zhou
221
0
0
31 Oct 2024
TC-KANRecon: High-Quality and Accelerated MRI Reconstruction via Adaptive KAN Mechanisms and Intelligent Feature Scaling
TC-KANRecon: High-Quality and Accelerated MRI Reconstruction via Adaptive KAN Mechanisms and Intelligent Feature Scaling
Ruiquan Ge
Xiao Yu
Yifei Chen
Fan Jia
Shenghao Zhu
...
Dong Zeng
Dong Zeng
Qiegen Liu
S. Niu
Shanzhou Niu
MedIm
190
5
0
11 Aug 2024
A Brief Overview of Optimization-Based Algorithms for MRI Reconstruction
  Using Deep Learning
A Brief Overview of Optimization-Based Algorithms for MRI Reconstruction Using Deep Learning
Wanyu Bian
222
7
0
03 Jun 2024
Joint Edge Optimization Deep Unfolding Network for Accelerated MRI
  Reconstruction
Joint Edge Optimization Deep Unfolding Network for Accelerated MRI ReconstructionIEEE Transactions on Computational Imaging (TCI), 2024
Yue Cai
Yu Luo
Jie Ling
Shun Yao
179
4
0
09 May 2024
Score-based Generative Priors Guided Model-driven Network for MRI
  Reconstruction
Score-based Generative Priors Guided Model-driven Network for MRI ReconstructionBiomedical Signal Processing and Control (BSPC), 2024
Xiaoyu Qiao
Weisheng Li
Bin Xiao
Yuping Huang
Lijian Yang
DiffM
224
3
0
05 May 2024
X-Diffusion: Generating Detailed 3D MRI Volumes From a Single Image Using Cross-Sectional Diffusion Models
X-Diffusion: Generating Detailed 3D MRI Volumes From a Single Image Using Cross-Sectional Diffusion Models
Emmanuelle Bourigault
Abdullah Hamdi
Amir Jamaludin
MedIm
312
4
0
30 Apr 2024
NPB-REC: A Non-parametric Bayesian Deep-learning Approach for
  Undersampled MRI Reconstruction with Uncertainty Estimation
NPB-REC: A Non-parametric Bayesian Deep-learning Approach for Undersampled MRI Reconstruction with Uncertainty Estimation
Samah Khawaled
Moti Freiman
UQCV
126
5
0
06 Apr 2024
DuDoUniNeXt: Dual-domain unified hybrid model for single and
  multi-contrast undersampled MRI reconstruction
DuDoUniNeXt: Dual-domain unified hybrid model for single and multi-contrast undersampled MRI reconstruction
Ziqi Gao
Yue Zhang
Xinwen Liu
Kaiyan Li
S. Kevin Zhou
182
1
0
08 Mar 2024
MRPD: Undersampled MRI reconstruction by prompting a large latent
  diffusion model
MRPD: Undersampled MRI reconstruction by prompting a large latent diffusion model
Student Member Ieee Ziqi Gao
F. I. S. Kevin Zhou
MedIm
143
5
0
16 Feb 2024
A Unified Framework for Uniform Signal Recovery in Nonlinear Generative
  Compressed Sensing
A Unified Framework for Uniform Signal Recovery in Nonlinear Generative Compressed SensingNeural Information Processing Systems (NeurIPS), 2023
Junren Chen
Jonathan Scarlett
Michael K. Ng
Zhaoqiang Liu
FedML
262
9
0
25 Sep 2023
Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI
  Reconstruction
Federated Pseudo Modality Generation for Incomplete Multi-Modal MRI ReconstructionIEEE journal of biomedical and health informatics (IEEE JBHI), 2023
Yu-bao Yan
Chun-Mei Feng
Yuexiang Li
Rick Siow Mong Goh
Lei Zhu
MedIm
189
6
0
20 Aug 2023
Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET
  Anomaly Detection
Cross Attention Transformers for Multi-modal Unsupervised Whole-Body PET Anomaly Detection
Ashay Patel
Petru-Daniel Tudosiu
W. H. Pinaya
G. Cook
Vicky Goh
Sebastien Ourselin
M. Jorge Cardoso
OODViTMedIm
144
13
0
14 Apr 2023
Rethinking Dual-Domain Undersampled MRI reconstruction: domain-specific
  design from the perspective of the receptive field
Rethinking Dual-Domain Undersampled MRI reconstruction: domain-specific design from the perspective of the receptive fieldIEEE International Symposium on Biomedical Imaging (ISBI), 2023
Ziqi Gao
S. Kevin Zhou
OOD
150
2
0
19 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
131
0
0
16 Mar 2023
Need for Objective Task-based Evaluation of Deep Learning-Based
  Denoising Methods: A Study in the Context of Myocardial Perfusion SPECT
Need for Objective Task-based Evaluation of Deep Learning-Based Denoising Methods: A Study in the Context of Myocardial Perfusion SPECT
Zitong Yu
Md Ashequr Rahman
Richard Laforest
T. Schindler
R. Gropler
R. Wahl
Barry A. Siegel
Abhinav K. Jha
MedIm
250
28
0
03 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
106
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
131
22
0
18 Feb 2023
AliasNet: Alias Artefact Suppression Network for Accelerated
  Phase-Encode MRI
AliasNet: Alias Artefact Suppression Network for Accelerated Phase-Encode MRIMagnetic Resonance Imaging (MRI), 2023
M. B. Lorenzana
Shekhar S. Chandra
Yifan Zhang
240
1
0
17 Feb 2023
Hierarchical Perception Adversarial Learning Framework for Compressed
  Sensing MRI
Hierarchical Perception Adversarial Learning Framework for Compressed Sensing MRIIEEE Transactions on Medical Imaging (TMI), 2023
Zhifan Gao
Yifeng Guo
Jiajing Zhang
T. Zeng
Guang Yang
MedIm
199
28
0
27 Jan 2023
Universal Generative Modeling in Dual-domain for Dynamic MR Imaging
Universal Generative Modeling in Dual-domain for Dynamic MR Imaging
Chuanming Yu
Yu Guan
Ziwen Ke
Dong Liang
Qiegen Liu
DiffMMedIm
145
0
0
15 Dec 2022
L2SR: Learning to Sample and Reconstruct for Accelerated MRI via
  Reinforcement Learning
L2SR: Learning to Sample and Reconstruct for Accelerated MRI via Reinforcement LearningInverse Problems (IP), 2022
Pu Yang
Bin Dong
OffRLAI4TS
159
0
0
05 Dec 2022
Compressed Sensing MRI Reconstruction Regularized by VAEs with
  Structured Image Covariance
Compressed Sensing MRI Reconstruction Regularized by VAEs with Structured Image CovariancePhysics in Medicine and Biology (PMB), 2022
Margaret Duff
Ivor J. A. Simpson
Matthias Joachim Ehrhardt
Neill D. F. Campbell
DiffMMedIm
131
7
0
26 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
141
6
0
22 Oct 2022
Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic
  Resonance
Artificial Intelligence-Based Image Reconstruction in Cardiac Magnetic Resonance
C. Qin
Daniel Rueckert
176
3
0
21 Sep 2022
A Deep Learning Approach for Parallel Imaging and Compressed Sensing MRI
  Reconstruction
A Deep Learning Approach for Parallel Imaging and Compressed Sensing MRI Reconstruction
Farhan Sadik
Md. Kamrul Hasan
MedIm
170
0
0
19 Sep 2022
MA-RECON: Mask-aware deep-neural-network for robust fast MRI k-space
  interpolation
MA-RECON: Mask-aware deep-neural-network for robust fast MRI k-space interpolation
Nitzan Avidan
Moti Freiman
OOD
125
8
0
31 Aug 2022
Inflating 2D Convolution Weights for Efficient Generation of 3D Medical
  Images
Inflating 2D Convolution Weights for Efficient Generation of 3D Medical Images
Yanbin Liu
Girish Dwivedi
F. Boussaïd
Frank M. Sanfilippo
Makoto Yamada
Bennamoun
DiffMMedIm
257
13
0
08 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
DiffMMedIm
250
240
0
12 Jul 2022
Learning Apparent Diffusion Coefficient Maps from Accelerated Radial
  k-Space Diffusion-Weighted MRI in Mice using a Deep CNN-Transformer Model
Learning Apparent Diffusion Coefficient Maps from Accelerated Radial k-Space Diffusion-Weighted MRI in Mice using a Deep CNN-Transformer ModelMagnetic Resonance in Medicine (MRM), 2022
Yuemeng Li
Miguel Romanello Joaquim
S. Pickup
H. K. Song
Rongchao Zhou
Yong-Xian Fan
MedIm
130
4
0
06 Jul 2022
A deep cascade of ensemble of dual domain networks with gradient-based
  T1 assistance and perceptual refinement for fast MRI reconstruction
A deep cascade of ensemble of dual domain networks with gradient-based T1 assistance and perceptual refinement for fast MRI reconstruction
Balamurali Murugesan
Sriprabha Ramanarayanan
S. Vijayarangan
Keerthi Ram
N. Jagannathan
M. Sivaprakasam
111
13
0
05 Jul 2022
ERNAS: An Evolutionary Neural Architecture Search for Magnetic Resonance
  Image Reconstructions
ERNAS: An Evolutionary Neural Architecture Search for Magnetic Resonance Image Reconstructions
Samira Vafay Eslahi
Jian Tao
J. Ji
132
1
0
15 Jun 2022
A Projection-Based K-space Transformer Network for Undersampled Radial
  MRI Reconstruction with Limited Training Subjects
A Projection-Based K-space Transformer Network for Undersampled Radial MRI Reconstruction with Limited Training SubjectsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2022
Chang Gao
Shu-Fu Shih
J. Finn
X. Zhong
MedIm
125
5
0
15 Jun 2022
Invertible Sharpening Network for MRI Reconstruction Enhancement
Invertible Sharpening Network for MRI Reconstruction EnhancementInternational 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
148
5
0
06 Jun 2022
Adaptive Local Neighborhood-based Neural Networks for MR Image Reconstruction from Undersampled Data
Adaptive Local Neighborhood-based Neural Networks for MR Image Reconstruction from Undersampled DataIEEE Transactions on Computational Imaging (TCI), 2022
Shijun Liang
Anish Lahiri
S. Ravishankar
172
3
0
01 Jun 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 Noisier2NoiseIEEE Transactions on Computational Imaging (TCI), 2022
Charles Millard
M. Chiew
429
45
0
20 May 2022
An Interpretable MRI Reconstruction Network with Two-grid-cycle
  Correction and Geometric Prior Distillation
An Interpretable MRI Reconstruction Network with Two-grid-cycle Correction and Geometric Prior DistillationBiomedical Signal Processing and Control (BSPC), 2022
Xiaohong Fan
Yin Yang
Ke-long Chen
Jianping Zhang
Ke Dong
MedIm
169
14
0
14 May 2022
Self-supervised Deep Unrolled Reconstruction Using Regularization by
  Denoising
Self-supervised Deep Unrolled Reconstruction Using Regularization by DenoisingIEEE Transactions on Medical Imaging (IEEE TMI), 2022
Peizhou Huang
Chaoyi Zhang
Xiaoliang Zhang
Xiaojuan Li
Liang Dong
L. Ying
210
23
0
07 May 2022
PUERT: Probabilistic Under-sampling and Explicable Reconstruction
  Network for CS-MRI
PUERT: Probabilistic Under-sampling and Explicable Reconstruction Network for CS-MRIIEEE Journal on Selected Topics in Signal Processing (IEEE JSTSP), 2022
Jingfen Xie
Jian Zhang
Yongbing Zhang
Xiangyang Ji
125
35
0
24 Apr 2022
Learning Optimal K-space Acquisition and Reconstruction using
  Physics-Informed Neural Networks
Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural NetworksComputer Vision and Pattern Recognition (CVPR), 2022
Wei Peng
Li Feng
Guoying Zhao
Fan Liu
OOD
131
23
0
05 Apr 2022
Gan-Based Joint Activity Detection and Channel Estimation For Grant-free
  Random Access
Gan-Based Joint Activity Detection and Channel Estimation For Grant-free Random AccessIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Shuang Liang
Yinan Zou
Yong Zhou
109
1
0
04 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
D. C. Marshall
Yang Nan
Huanjun Wu
Yinzhe Wu
...
Zidong Wang
Pietro Lio
Daniel Rueckert
Yonina C. Eldar
Guang Yang
OODMedIm
127
7
0
01 Apr 2022
Investigating the limited performance of a deep-learning-based SPECT
  denoising approach: An observer-study-based characterization
Investigating the limited performance of a deep-learning-based SPECT denoising approach: An observer-study-based characterization
Zitong Yu
Md Ashequr Rahman
Abhinav K. Jha
85
14
0
03 Mar 2022
Swin Transformer for Fast MRI
Swin Transformer for Fast MRINeurocomputing (Neurocomputing), 2022
Jiahao Huang
D. C. Marshall
Yinzhe Wu
Huanjun Wu
Zhifan Gao
Yang Li
Javier Del Ser
Jun Xia
Guang Yang
ViTOOD
173
174
0
10 Jan 2022
AI-based Reconstruction for Fast MRI -- A Systematic Review and
  Meta-analysis
AI-based Reconstruction for Fast MRI -- A Systematic Review and Meta-analysisProceedings of the IEEE (Proc. IEEE), 2021
Yutong Chen
Carola-Bibiane Schönlieb
Pietro Lio
T. Leiner
Pier Luigi Dragotti
Ge Wang
Daniel Rueckert
D. Firmin
Guang Yang
393
109
0
23 Dec 2021
Edge-Enhanced Dual Discriminator Generative Adversarial Network for Fast
  MRI with Parallel Imaging Using Multi-view Information
Edge-Enhanced Dual Discriminator Generative Adversarial Network for Fast MRI with Parallel Imaging Using Multi-view Information
Jiahao Huang
Weiping Ding
Jun Lv
Jingwen Yang
Hao Dong
Javier Del Ser
Jun Xia
Tiaojuan Ren
Stephen Wong
Guang Yang
MedIm
127
23
0
10 Dec 2021
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
OODAI4CE
242
12
0
30 Nov 2021
123
Next