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Deep learning-based reconstruction on intensity-inhomogeneous diffusion magnetic resonance imaging

Zaimin Zhu He Wang Yong Liu Fangrong Zong

智能影像学（英文）2024，Vol.2Issue(6)：571-583,13.

智能影像学（英文）2024，Vol.2Issue(6)：571-583,13.DOI:10.1002/ird3.100

Deep learning-based reconstruction on intensity-inhomogeneous diffusion magnetic resonance imaging

Zaimin Zhu ¹He Wang ²Yong Liu ³Fangrong Zong³

作者信息

1. School of Artificial Intelligence,Beijing University of Posts and Telecommunications,Beijing,China
2. Institute of Science and Technology for Brain-Inspired Intelligence,Fudan University,Shanghai,China
3. School of Artificial Intelligence,Beijing University of Posts and Telecommunications,Beijing,China||Queen Mary School Hainan,Beijing University of Posts and Telecommunications,Lingshui,Hainan,China
折叠

摘要

关键词

data augmentation/deep learning/diffusion MRI reconstruction/inhomogeneity correction/ultrahigh field

Key words

data augmentation/deep learning/diffusion MRI reconstruction/inhomogeneity correction/ultrahigh field

引用本文复制引用

Zaimin Zhu,He Wang,Yong Liu,Fangrong Zong..Deep learning-based reconstruction on intensity-inhomogeneous diffusion magnetic resonance imaging[J].智能影像学（英文）,2024,2(6):571-583,13.

基金项目

National Natural Science Foundation of China,Grant/Award Numbers:61901465,82371910 （）

智能影像学（英文）

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