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MRI Reconstruction via Cascaded Channel-wise Attention Network
v1v2 (latest)

MRI Reconstruction via Cascaded Channel-wise Attention Network

18 October 2018
Qiaoying Huang
Dong Yang
Pengxiang Wu
Hui Qu
Jingru Yi
Dimitris N. Metaxas
ArXiv (abs)PDFHTML

Papers citing "MRI Reconstruction via Cascaded Channel-wise Attention Network"

23 / 23 papers shown
Title
DP-MDM: Detail-Preserving MR Reconstruction via Multiple Diffusion
  Models
DP-MDM: Detail-Preserving MR Reconstruction via Multiple Diffusion Models
Mengxiao Geng
Jiahao Zhu
Xiaolin Zhu
Qiqing Liu
Dong Liang
Qiegen Liu
MedIm
80
4
0
09 May 2024
Accelerating Cardiac MRI Reconstruction with CMRatt: An Attention-Driven
  Approach
Accelerating Cardiac MRI Reconstruction with CMRatt: An Attention-Driven Approach
Anam Hashmi
J. Dietlmeier
Kathleen M. Curran
Noel E. O'Connor
92
0
0
10 Apr 2024
Generating Robust Adversarial Examples against Online Social Networks
  (OSNs)
Generating Robust Adversarial Examples against Online Social Networks (OSNs)
Jun Liu
Jiantao Zhou
Haiwei Wu
Weiwei Sun
Jinyu Tian
AAML
81
5
0
19 Oct 2023
Fill the K-Space and Refine the Image: Prompting for Dynamic and
  Multi-Contrast MRI Reconstruction
Fill the K-Space and Refine the Image: Prompting for Dynamic and Multi-Contrast MRI Reconstruction
Bingyu Xin
Meng Ye
L. Axel
Dimitris N. Metaxas
70
16
0
25 Sep 2023
HyperCoil-Recon: A Hypernetwork-based Adaptive Coil Configuration Task
  Switching Network for MRI Reconstruction
HyperCoil-Recon: A Hypernetwork-based Adaptive Coil Configuration Task Switching Network for MRI Reconstruction
Sriprabha Ramanarayanan
Mohammad Al Fahim
R. G. S.
Amrit Kumar Jethi
Keerthi Ram
M. Sivaprakasam
60
2
0
09 Aug 2023
Generalizing Supervised Deep Learning MRI Reconstruction to Multiple and
  Unseen Contrasts using Meta-Learning Hypernetworks
Generalizing Supervised Deep Learning MRI Reconstruction to Multiple and Unseen Contrasts using Meta-Learning Hypernetworks
Sriprabha Ramanarayanan
Arun Palla
Keerthi Ram
M. Sivaprakasam
75
11
0
13 Jul 2023
CL-MRI: Self-Supervised Contrastive Learning to Improve the Accuracy of
  Undersampled MRI Reconstruction
CL-MRI: Self-Supervised Contrastive Learning to Improve the Accuracy of Undersampled MRI Reconstruction
Mevan Ekanayake
Zhiwen Chen
Mehrtash Harandi
Gary Egan
Zhaolin Chen
83
3
0
01 Jun 2023
SFT-KD-Recon: Learning a Student-friendly Teacher for Knowledge
  Distillation in Magnetic Resonance Image Reconstruction
SFT-KD-Recon: Learning a Student-friendly Teacher for Knowledge Distillation in Magnetic Resonance Image Reconstruction
NagaGayathri Matcha
Sriprabha Ramanarayanan
Mohammad Al Fahim
S. RahulG
Keerthi Ram
M. Sivaprakasam
76
2
0
11 Apr 2023
GA-HQS: MRI reconstruction via a generically accelerated unfolding
  approach
GA-HQS: MRI reconstruction via a generically accelerated unfolding approach
Jiawei Jiang
Yuchao Feng
Honghui Xu
Wanjun Chen
Jian Zheng
MedIm
82
11
0
06 Apr 2023
Physics-informed self-supervised deep learning reconstruction for
  accelerated first-pass perfusion cardiac MRI
Physics-informed self-supervised deep learning reconstruction for accelerated first-pass perfusion cardiac MRI
E. Martín-González
E. Alskaf
A. Chiribiri
P. Casaseca-de-la-Higuera
C. Alberola-López
R. Nunes
T. Correia
MedIm
32
7
0
05 Jan 2023
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
92
1
0
15 Jun 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
OODAI4CE
74
11
0
30 Nov 2021
MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural
  Network for MR Image Reconstruction using Dynamic Weight Prediction
MAC-ReconNet: A Multiple Acquisition Context based Convolutional Neural Network for MR Image Reconstruction using Dynamic Weight Prediction
Sriprabha Ramanarayanan
Balamurali Murugesan
Keerthi Ram
M. Sivaprakasam
95
8
0
09 Nov 2021
High-Resolution Pelvic MRI Reconstruction Using a Generative Adversarial
  Network with Attention and Cyclic Loss
High-Resolution Pelvic MRI Reconstruction Using a Generative Adversarial Network with Attention and Cyclic Loss
Guangyuan Li
Jun Lv
Xiangrong Tong
Chengyan Wang
Guang Yang
MedIm
43
24
0
21 Jul 2021
UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation
UTNet: A Hybrid Transformer Architecture for Medical Image Segmentation
Yunhe Gao
Mu Zhou
Dimitris N. Metaxas
MedImViT
81
433
0
02 Jul 2021
Task Transformer Network for Joint MRI Reconstruction and
  Super-Resolution
Task Transformer Network for Joint MRI Reconstruction and Super-Resolution
Chun-Mei Feng
Yu-bao Yan
Huazhu Fu
Li Chen
Yong Xu
ViTMedIm
84
126
0
12 Jun 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
49
10
0
04 May 2021
Fine-grained MRI Reconstruction using Attentive Selection Generative
  Adversarial Networks
Fine-grained MRI Reconstruction using Attentive Selection Generative Adversarial Networks
Qingbin Liu
Mehrdad Yaghoobi
GANMedIm
57
5
0
13 Mar 2021
Enhanced MRI Reconstruction Network using Neural Architecture Search
Enhanced MRI Reconstruction Network using Neural Architecture Search
Qiaoying Huang
Dong Yang
Yikun Xian
Pengxiang Wu
Jingru Yi
Hui Qu
Dimitris N. Metaxas
55
10
0
19 Aug 2020
MRI Image Reconstruction via Learning Optimization Using Neural ODEs
MRI Image Reconstruction via Learning Optimization Using Neural ODEs
Eric Z. Chen
Terrence Chen
Shanhui Sun
125
23
0
24 Jun 2020
Adaptive convolutional neural networks for k-space data interpolation in
  fast magnetic resonance imaging
Adaptive convolutional neural networks for k-space data interpolation in fast magnetic resonance imaging
Tianming Du
Honggang Zhang
Yuemeng Li
H. K. Song
Yong-Xian Fan
51
2
0
02 Jun 2020
Neural Architecture Search for Compressed Sensing Magnetic Resonance
  Image Reconstruction
Neural Architecture Search for Compressed Sensing Magnetic Resonance Image Reconstruction
Jiangpeng Yan
Shuo Chen
Yongbing Zhang
Xiu Li
53
24
0
22 Feb 2020
Pyramid Convolutional RNN for MRI Image Reconstruction
Pyramid Convolutional RNN for MRI Image Reconstruction
Eric Z. Chen
Puyang Wang
Xiao Chen
Terrence Chen
Shanhui Sun
86
44
0
02 Dec 2019
1