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Yingzhou Bi

As seen in: MDPI
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Articles

S-ResGCN: A Symmetry-Aware Graph Convolutional Network for MRI-Based Brain Tumor Diagnosis

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By Yingzhou Bi, Leigang Huo, Qiujing Gan, Shanrui Liu
| Preprints.org
This version is not peer-reviewed. Yingzhou Bi  *,Qiujing Gan,Leigang Huo,Shanrui Liu,Kairui Xiong Yingzhou Bi  *,Qiujing Gan,Leigang Huo,Shanrui Liu,Kairui Xiong Submitted: 30 September 2025 You are already at the latest version Early and accurate detection of brain tumors is critical for MRI-based diagnosis. Conven-tional convolutional neural networks often struggle to capture fine-grained details, small or boundary-ambiguous lesions, and hemispheric symmetry patterns.
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Combining Dielectric and Hyperspectral Data for Apple Core Browning Detection

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By Hanchi Liu, Jinrong He, Yingzhou Bi, Yanxin Shi
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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