Multilevel Correlation-aware and Modal-aware Graph Convolutional Network for Diagnosing Neurodevelopmental Disorders

These findings highlight the potential of the MCM-GCN for imaging-assisted diagnosis of neurodevelopmental diseases, advancing interpretable deep learning in medical imaging analysis.

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Publication Details

Journal
IEEE Transactions on Biomedical Engineering
Published
2025-01-01
DOI
https://doi.org/10.1109/tbme.2025.3617348
Citations
2
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
1.68
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article

Multilevel Correlation-aware and Modal-aware Graph Convolutional Network for Diagnosing Neurodevelopmental Disorders

Siyang Zuo, Yu Li, Aiping Liu, Yanjun Qi
2 citations
IEEE Transactions on Biomedical Engineering
Brain Tumor Detection and Classification
1.68
article

Multilevel Correlation-aware and Modal-aware Graph Convolutional Network for Diagnosing Neurodevelopmental Disorders

Siyang Zuo, Yu Li, Aiping Liu, Yanjun Qi
article en
2 citations

Abstract

These findings highlight the potential of the MCM-GCN for imaging-assisted diagnosis of neurodevelopmental diseases, advancing interpretable deep learning in medical imaging analysis.

IEEE Transactions on Biomedical EngineeringVol. PP
University of Science and Technology of China (CN)
Openalex Percentile: Top 13%
Brain Tumor Detection and Classification
1.68
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