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Robust Brain Tumor Segmentation With Incomplete MRI Modalities Using Hölder Divergence and Mutual Information-Enhanced Knowledge Transfer

Runze Cheng Xihang Qiu Ming Li Ye Zhang Fei Richard Yu Chun Li

自动化学报（英文版）2026，Vol.13Issue(4)：939-954,16.
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自动化学报（英文版）2026，Vol.13Issue(4)：939-954,16.DOI:10.1109/JAS.2025.125609

Robust Brain Tumor Segmentation With Incomplete MRI Modalities Using Hölder Divergence and Mutual Information-Enhanced Knowledge Transfer

Robust Brain Tumor Segmentation With Incomplete MRI Modalities Using Hölder Divergence and Mutual Information-Enhanced Knowledge Transfer

Runze Cheng 1Xihang Qiu 1Ming Li 2Ye Zhang 3Fei Richard Yu 2Chun Li4

作者信息

  • 1. MSU-BIT-SMBU Joint Research Center of Applied Mathematics,Shenzhen MSU-BIT University,Shenzhen 518172,China||Institute of Control Theory and Control Engineering,School of Automation,Beijing Institute of Technology,Beijing 100081,China
  • 2. Guangdong Laboratory of Artificial Intelligence and Digital Economy(SZ),Shenzhen 518083,China
  • 3. MSU-BIT-SMBU Joint Research Center of Applied Mathematics,Shenzhen MSU-BIT University,Shenzhen 518172,China||School of Mathematics and Statistics,Beijing Institute of Technology,Beijing 100081,China
  • 4. MSU-BIT-SMBU Joint Research Center of Applied Mathematics,Shenzhen MSU-BIT University,Shenzhen 518172,China
  • 折叠

摘要

关键词

Brain-tumor segmentation/divergence learning/knowledge distillation/missing modality learning

Key words

Brain-tumor segmentation/divergence learning/knowledge distillation/missing modality learning

引用本文复制引用

Runze Cheng,Xihang Qiu,Ming Li,Ye Zhang,Fei Richard Yu,Chun Li..Robust Brain Tumor Segmentation With Incomplete MRI Modalities Using Hölder Divergence and Mutual Information-Enhanced Knowledge Transfer[J].自动化学报（英文版）,2026,13(4):939-954,16.

基金项目

This work was supported by the National Key Research and Development Program of China(2025YFE0113400,2022YFC3310300),Guangdong Basic and Applied Basic Research Foundation(2024A1515011774),the National Natural Science Foundation of China(12171036),Shenzhen Sci-Tech Fund(RCJC20231211090030059),and Beijing Natural Science Foundation(Z210001). （2025YFE0113400,2022YFC3310300）

自动化学报（英文版）

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