Deep Adaptive Blending Network for 3D Magnetic Resonance Image Denoising-Reference-Cited by-同舟云学术

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Deep Adaptive Blending Network for 3D Magnetic Resonance Image Denoising

Published:2021-09 Issue:9 Volume:25 Page:3321-3331
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Xu Yi,Han Kang^ORCID,Zhou Yongming,Wu Jian,Xie Xin,Xiang Wei^ORCID

Funder

Shanghai University of Traditional Chinese Medicine

Shanxi S&T

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Biotechnology

Link

http://xplorestaging.ieee.org/ielx7/6221020/9528502/09448463.pdf?arnumber=9448463

Cited by 5 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. Deep variational magnetic resonance image denoising via network conditioning;Biomedical Signal Processing and Control;2024-09

2. Magnetic resonance image restoration via least absolute deviations measure with isotropic total variation constraint;Mathematical Biosciences and Engineering;2023

3. Deep Learning for Image Enhancement and Correction in Magnetic Resonance Imaging—State-of-the-Art and Challenges;Journal of Digital Imaging;2022-11-02

4. Denoise ultra-low-field 3D magnetic resonance images using a joint signal-image domain filter;Journal of Magnetic Resonance;2022-11

5. Inference-Reconstruction Variational Autoencoder for Light Field Image Reconstruction;IEEE Transactions on Image Processing;2022

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