Self-Supervised Motion-Corrected Image Reconstruction Network for 4D Magnetic Resonance Imaging of the Body Trunk-Reference-Cited by-同舟云学术

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Self-Supervised Motion-Corrected Image Reconstruction Network for 4D Magnetic Resonance Imaging of the Body Trunk

Published:2022 Issue:1 Volume:11 Page:
ISSN:2048-7703
Container-title:APSIPA Transactions on Signal and Information Processing
language:en
Short-container-title:SIP

Author:

Küstner Thomas,Pan Jiazhen,Gilliam Christopher,Qi Haikun,Cruz Gastao,Hammernik Kerstin,Blu Thierry,Rueckert Daniel,Botnar René,Prieto Claudia,Gatidis Sergios

Publisher

Now Publishers

Subject

Information Systems,Signal Processing

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Knowledge‐driven deep learning for fast MR imaging: Undersampled MR image reconstruction from supervised to un‐supervised learning;Magnetic Resonance in Medicine;2024-04-16

2. Accelerated four-dimensional free-breathing whole-liver water-fat magnetic resonance imaging with deep dictionary learning and chemical shift modeling;Quantitative Imaging in Medicine and Surgery;2024-04

3. Stop moving: MR motion correction as an opportunity for artificial intelligence;Magnetic Resonance Materials in Physics, Biology and Medicine;2024-02-22

4. Deep Learning for Retrospective Motion Correction in MRI: A Comprehensive Review;IEEE Transactions on Medical Imaging;2024-02

5. Coarse–Super-Resolution–Fine Network (CoSF-Net): A Unified End-to-End Neural Network for 4D-MRI With Simultaneous Motion Estimation and Super-Resolution;IEEE Transactions on Medical Imaging;2024-01

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