AI-Based Reconstruction for Fast MRI—A Systematic Review and Meta-Analysis-Reference-Cited by-同舟云学术

AI-Based Reconstruction for Fast MRI—A Systematic Review and Meta-Analysis

Published:2022-02 Issue:2 Volume:110 Page:224-245
ISSN:0018-9219
Container-title:Proceedings of the IEEE
language:
Short-container-title:Proc. IEEE

Author:

Chen Yutong,Schonlieb Carola-Bibiane,Lio Pietro^ORCID,Leiner Tim^ORCID,Dragotti Pier Luigi^ORCID,Wang Ge^ORCID,Rueckert Daniel^ORCID,Firmin David,Yang Guang^ORCID

Funder

British Heart Foundation

European Research Council Innovative Medicines Initiative, DRAGON

AI for Health Imaging Award, CHAIMELEON

Medical Research Council

U.K. Research and Innovation Future Leaders Fellowship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/5/9702902/09703109.pdf?arnumber=9703109

Reference153 articles.

1. DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution

2. MD-Recon-Net: A Parallel Dual-Domain Convolutional Neural Network for Compressed Sensing MRI

3. A deep error correction network for compressed sensing MRI

4. Accelerated coronary MRI with sRAKI: A database-free self-consistent neural network k-space reconstruction for arbitrary undersampling

5. Highly undersampled magnetic resonance imaging reconstruction using autoencoding priors

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