ResearchTrend.AI
A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction

A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction

Jo Schlemper
Jose Caballero
Joseph V. Hajnal
Anthony N. Price
Daniel Rueckert
ArXivPDFHTML

Papers citing "A Deep Cascade of Convolutional Neural Networks for Dynamic MR Image Reconstruction"

11 / 11 papers shown
Title
CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping
CoRRECT: A Deep Unfolding Framework for Motion-Corrected Quantitative R2* Mapping
Xiaojian Xu
Weijie Gan
Satya V. V. N. Kothapalli
D. Yablonskiy
Ulugbek S. Kamilov
MedIm
91
5
0
21 Feb 2025
JotlasNet: Joint Tensor Low-Rank and Attention-based Sparse Unrolling Network for Accelerating Dynamic MRI
JotlasNet: Joint Tensor Low-Rank and Attention-based Sparse Unrolling Network for Accelerating Dynamic MRI
Yinghao Zhang
Haiyan Gui
Ningdi Yang
Yue Hu
70
0
0
17 Feb 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
50
0
0
18 Jan 2025
Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems
Comprehensive Examination of Unrolled Networks for Solving Linear Inverse Problems
Eric Chen
Xi Chen
A. Maleki
S. Jalali
68
0
0
08 Jan 2025
UniMo: Universal Motion Correction For Medical Images without Network Retraining
UniMo: Universal Motion Correction For Medical Images without Network Retraining
Jian Wang
Razieh Faghihpirayesh
Danny Joca
Polina Golland
Ali Gholipour
58
0
0
03 Jan 2025
Continuous K-space Recovery Network with Image Guidance for Fast MRI Reconstruction
Yucong Meng
Zhiwei Yang
Minghong Duan
Yonghong Shi
Zhijian Song
63
1
0
18 Nov 2024
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
46
1
0
20 Sep 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
55
3
0
11 Aug 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
67
2
0
30 Apr 2024
Invertible Diffusion Models for Compressed Sensing
Invertible Diffusion Models for Compressed Sensing
Bin Chen
Zhenyu Zhang
Weiqi Li
Chen Zhao
Jiwen Yu
Shijie Zhao
Jie Chen
Jian Zhang
DiffM
80
5
0
25 Mar 2024
Reconstruction of Undersampled 3D Non-Cartesian Image-Based Navigators for Coronary MRA Using an Unrolled Deep Learning Model
Reconstruction of Undersampled 3D Non-Cartesian Image-Based Navigators for Coronary MRA Using an Unrolled Deep Learning Model
Mario O. Malavé
C. Baron
Srivathsan P. Koundinyan
Christopher M. Sandino
Frank Ong
Joseph Y. Cheng
D. Nishimura
92
42
0
24 Oct 2019

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.