This is the official PyTorch implementation of AIDFusion from the paper "Multi-Atlas Brain Network Classification through Consistency Distillation and Complementary Information Fusion" published in IEEE Journal of Biomedical and Health Informatics (JBHI) 2025.
Link: Paper.
All Preprocessed data used in this paper are published in this paper.
Data splits and configurations are stored in ./data/ and ./configs/. If you want to process your own data, please check the dataloader script ./data/BrainNet.py.
Please check experiment.sh on how to run the project.
If you find this code useful, please consider citing our paper:
@ARTICLE{11165071,
author={Xu, Jiaxing and Lan, Mengcheng and Dong, Xia and He, Kai and Zhang, Wei and Bian, Qingtian and Ke, Yiping},
journal={IEEE Journal of Biomedical and Health Informatics}, title={Multi-Atlas Brain Network Classification through Consistency Distillation and Complementary Information Fusion}, year={2025},
volume={},
number={},
pages={1-12},
keywords={Transformers;Functional magnetic resonance imaging;Brain modeling;Network analyzers;Training;Representation learning;Data mining;Information filters;Feature extraction;Bioinformatics;Brain Network;Multi-atlas Consistency;fMRI Biomarker;Brain Disorders;Graph Neural Network},
doi={10.1109/JBHI.2025.3610111}}
If you have any questions, please feel free to reach out at jiaxing003@e.ntu.edu.sg.