Fader Networks for domain adaptation on fMRI: ABIDE-II study

Automated blind MRI quality assessment using 3D CNN + FC deep learning. Trains on ABIDE-1 (15 sites), achieves SOTA transfer to novel sites and Glioblastoma MRI from TCIA.

Preparatory scripts for BIDS tabular phenotypic data in large neuroimaging datasets.

基于功能脑网络多模版学习的精神疾病辅助诊断算法研究

[MICCAIW 2025 Best Paper Award] official code of BrainNetMLP for functional brain network classification, which is accepted by the 1st Efficient Workshop of MICCAI 2025.

Multi-task learning of functional connectivity on the ABIDE dataset.

Dual-pathway deep QC for brain MRI: DNN on IQMs + ResNet-18 visual artifact extraction. Validated on ABIDE-1 and DS030 with GradCAM artifact localization.

Autism Prediciton model based on research paper

Code for Bachelor Thesis "Unveiling Hidden Features: Multimodal Integration Using Cross-Modal Variational Autoencoders for the Identification of Stratification in ABIDE"

💀💭 Tool to visualise resting-state fMRI connectivity