ASSURED: A Self-Supervised Deep Decoder Network for Fetus Brain MRI Reconstruction

Author:

Wu Jiangjie1,Chen Lixuan1,Li Zhenghao2,Wang Lihui3,Wang Rongpin4,Wei Hongjiang2,Zhang Yuyao1

Affiliation:

1. ShanghaiTech University,School of Information Science and Technology,Shanghai,China

2. Shanghai Jiao Tong University,School of Biomedical Engineering,Shanghai,China

3. Guizhou University,School of Computer Science and Technology,Guiyang,China

4. Guizhou Provincial People’s Hospital,Guiyang,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Reference23 articles.

1. Untrained modified deep decoder for joint denoising parallel imaging reconstruction;arora;Annual Meeting of the International Society for Magnetic Resonance in Medicine,2020

2. Deep image prior;ulyanov;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2018

3. ITK: enabling reproducible research and open science

4. Deep decoder: Concise image representations from untrained non-convolutional networks;heckel,2018

5. Deep phase decoder: self-calibrating phase microscopy with an untrained deep neural network

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