ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2112.12744
  4. Cited By
AI-based Reconstruction for Fast MRI -- A Systematic Review and
  Meta-analysis

AI-based Reconstruction for Fast MRI -- A Systematic Review and Meta-analysis

23 December 2021
Yutong Chen
Carola-Bibiane Schönlieb
Pietro Lio'
T. Leiner
P. Dragotti
Ge Wang
Daniel Rueckert
D. Firmin
Guang Yang
ArXivPDFHTML

Papers citing "AI-based Reconstruction for Fast MRI -- A Systematic Review and Meta-analysis"

30 / 30 papers shown
Title
Efficient Noise Calculation in Deep Learning-based MRI Reconstructions
Efficient Noise Calculation in Deep Learning-based MRI Reconstructions
Onat Dalmaz
Arjun D Desai
Reinhard Heckel
Tolga Çukur
Akshay Chaudhari
B. Hargreaves
29
0
0
04 May 2025
MRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shifting
MRI super-resolution reconstruction using efficient diffusion probabilistic model with residual shifting
Mojtaba Safari
Shansong Wang
Zach Eidex
Qiang Li
Erik H. Middlebrooks
D. Yu
Xiaofeng Yang
MedIm
81
1
0
03 Mar 2025
Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI
Deep End-to-end Adaptive k-Space Sampling, Reconstruction, and Registration for Dynamic MRI
George Yiasemis
J. Sonke
Jonas Teuwen
73
0
0
27 Nov 2024
A Unified Model for Compressed Sensing MRI Across Undersampling Patterns
A Unified Model for Compressed Sensing MRI Across Undersampling Patterns
Armeet Singh Jatyani
Jiayun Wang
Zihui Wu
Miguel Liu-Schiaffini
Bahareh Tolooshams
Anima Anandkumar
Anima Anandkumar
29
1
0
05 Oct 2024
MOST: MR reconstruction Optimization for multiple downStream Tasks via
  continual learning
MOST: MR reconstruction Optimization for multiple downStream Tasks via continual learning
Hwihun Jeong
S. Chun
Jongho Lee
38
2
0
16 Sep 2024
Decoding the human brain tissue response to radiofrequency excitation
  using a biophysical-model-free deep MRI on a chip framework
Decoding the human brain tissue response to radiofrequency excitation using a biophysical-model-free deep MRI on a chip framework
Dinor Nagar
Moritz Zaiss
Or Perlman
MedIm
28
0
0
15 Aug 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
46
3
0
11 Aug 2024
BrainFounder: Towards Brain Foundation Models for Neuroimage Analysis
BrainFounder: Towards Brain Foundation Models for Neuroimage Analysis
Joseph Cox
Peng Liu
Skylar E. Stolte
Yunchao Yang
Kang Liu
Kyle B. See
Huiwen Ju
Ruogu Fang
MedIm
21
13
0
14 Jun 2024
NeRF Solves Undersampled MRI Reconstruction
NeRF Solves Undersampled MRI Reconstruction
Tae Jun Jang
Chang Min Hyun
24
3
0
20 Feb 2024
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
25
5
0
05 Aug 2023
One for Multiple: Physics-informed Synthetic Data Boosts Generalizable
  Deep Learning for Fast MRI Reconstruction
One for Multiple: Physics-informed Synthetic Data Boosts Generalizable Deep Learning for Fast MRI Reconstruction
Z. Wang
Xiaotong Yu
Chengyan Wang
Weibo Chen
Jiazheng Wang
...
C. Cai
Zhongze Chen
D. Guo
Guang Yang
X. Qu
AI4CE
39
14
0
25 Jul 2023
CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling
  for Fast MRI?
CDiffMR: Can We Replace the Gaussian Noise with K-Space Undersampling for Fast MRI?
Jiahao Huang
Angelica Aviles-Rivero
Carola-Bibiane Schönlieb
Guang Yang
DiffM
MedIm
20
13
0
25 Jun 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
Z. Chen
Mehrtash Harandi
Gary Egan
Zhaolin Chen
33
3
0
01 Jun 2023
Fast MRI Reconstruction via Edge Attention
Fast MRI Reconstruction via Edge Attention
Hanhui Yang
Juncheng Li
L. Lui
Shihui Ying
Jun Shi
T. Zeng
15
7
0
22 Apr 2023
Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance
  Reconstruction: A Comparison Study
Deep Learning-based Diffusion Tensor Cardiac Magnetic Resonance Reconstruction: A Comparison Study
Jiahao Huang
Pedro F. Ferreira
Lichao Wang
Yinzhe Wu
Angelica I. Aviles-Rivero
...
R. Rajakulasingam
Ranil De Silva
D. Pennell
S. Nielles-Vallespin
Guang Yang
DiffM
15
8
0
31 Mar 2023
Hierarchical Perception Adversarial Learning Framework for Compressed
  Sensing MRI
Hierarchical Perception Adversarial Learning Framework for Compressed Sensing MRI
Zhifan Gao
Yifeng Guo
Jiajing Zhang
T. Zeng
Guang Yang
MedIm
13
19
0
27 Jan 2023
ViGU: Vision GNN U-Net for Fast MRI
ViGU: Vision GNN U-Net for Fast MRI
Jiahao Huang
Angelica Aviles-Rivero
Carola-Bibiane Schonlieb
Guang Yang
8
12
0
23 Jan 2023
Weakly Supervised Learning Significantly Reduces the Number of Labels
  Required for Intracranial Hemorrhage Detection on Head CT
Weakly Supervised Learning Significantly Reduces the Number of Labels Required for Intracranial Hemorrhage Detection on Head CT
Jacopo Teneggi
P. Yi
Jeremias Sulam
25
3
0
29 Nov 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
14
4
0
31 Aug 2022
Tiny-HR: Towards an interpretable machine learning pipeline for heart
  rate estimation on edge devices
Tiny-HR: Towards an interpretable machine learning pipeline for heart rate estimation on edge devices
Preetam Anbukarasu
Shailesh Nanisetty
Ganesh Tata
Nilanjan Ray
26
5
0
16 Aug 2022
ICRICS: Iterative Compensation Recovery for Image Compressive Sensing
ICRICS: Iterative Compensation Recovery for Image Compressive Sensing
Honggui Li
M. Trocan
Dimitri Galayko
Mohamad Sawan
16
2
0
19 Jul 2022
Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast
  MRI
Swin Deformable Attention U-Net Transformer (SDAUT) for Explainable Fast MRI
Jiahao Huang
Xiaodan Xing
Zhifan Gao
Guang Yang
ViT
MedIm
19
26
0
05 Jul 2022
Localized adversarial artifacts for compressed sensing MRI
Localized adversarial artifacts for compressed sensing MRI
Rima Alaifari
Giovanni S. Alberti
Tandri Gauksson
AAML
14
4
0
10 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 Noisier2Noise
Charles Millard
M. Chiew
32
32
0
20 May 2022
PUERT: Probabilistic Under-sampling and Explicable Reconstruction
  Network for CS-MRI
PUERT: Probabilistic Under-sampling and Explicable Reconstruction Network for CS-MRI
Jingfen Xie
Jian Andrew Zhang
Yongbing Zhang
Xiangyang Ji
22
28
0
24 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
31
3
0
01 Apr 2022
A Long Short-term Memory Based Recurrent Neural Network for
  Interventional MRI Reconstruction
A Long Short-term Memory Based Recurrent Neural Network for Interventional MRI Reconstruction
Ruiyang Zhao
Zhao He
Tao Wang
Suhao Qiu
Pawel Herman
...
Chencheng Zhang
D. Shen
Bomin Sun
Guangyao Yang
Yuan Feng
15
2
0
28 Mar 2022
Fast MRI Reconstruction: How Powerful Transformers Are?
Fast MRI Reconstruction: How Powerful Transformers Are?
Jiahao Huang
Yinzhe Wu
Huanjun Wu
Guang Yang
OOD
ViT
MedIm
10
21
0
23 Jan 2022
Swin Transformer for Fast MRI
Swin Transformer for Fast MRI
Jiahao Huang
Yingying Fang
Yinzhe Wu
Huanjun Wu
Zhifan Gao
Yang Li
Javier Del Ser
Jun Xia
Guang Yang
ViT
OOD
24
142
0
10 Jan 2022
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
100
231
0
03 Mar 2017
1