Learnable Subdivision Graph Neural Network for Functional Brain Network Analysis and Interpretable Cognitive Disorder Diagnosis
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Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-43993-3_6
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2. Chen, X., Zhang, H., Zhang, L., Shen, C., Lee, S.W., Shen, D.: Extraction of dynamic functional connectivity from brain grey matter and white matter for MCI classification. Hum. Brain Mapp. 38(10), 5019–5034 (2017)
3. Cui, H., et al.: Braingb: a benchmark for brain network analysis with graph neural networks. IEEE Trans. Med. Imaging 42(2), 493–506 (2022)
4. Cui, H., Dai, W., Zhu, Y., Li, X., He, L., Yang, C.: Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis. In: Wang, L., Dou, Q., Fletcher, P.T., Speidel, S., Li, S. (eds.) Medical Image Computing and Computer Assisted Intervention – MICCAI 2022: 25th International Conference, Singapore, September 18–22, 2022, Proceedings, Part VIII, pp. 375–385. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-16452-1_36
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