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No modality left behind: Adapting to missing modalities via knowledge distillation for brain tumor segmentation

delete2026-05-02
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PRE
AI
S
Shenghao Zhu
Y
Yifei Chen
W
Weihong Chen
S
Shuo Jiang
G
Guanyu Zhou
Y
Yuanhan Wang
F
Feiwei Qin *
C
Changmiao Wang
田启源 cover
田启源 (Qiyuan Tian) *
DOI:10.1016/j.media.2026.104108delete
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Abstract

Abstract

En 中文
• Style matching with adversarial alignment boosts robustness without key modalities. • Modality-specific adapters strengthen weak inputs for balanced segmentation results. • Lesion-aware priors reduce false positives and improve cross-modal consistency. • Ranks top in benchmark for missing-modality brain tumor segmentation performance.
Keywords:
Adversarial alignment
Modality-specific adapters
Lesion-aware priors
Knowledge distillation
Brain tumor segmentation

Journal

Medical Image Analysis cover
Medical Image Analysis
IF:
11.8
Papers:
3.7K
Citations:
2.4W

Organization

H
Hangzhou Dianzi University
Scholars:
1.2W
Papers: 9.4K
Citations: 7.5K
T
tsinghua university
Scholars:
11.5W
Papers: 9.9W
Citations: 137
S
Shenzhen Research Institute of Big Data
Scholars:
249
Papers: 347
Citations: 357
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