MAMVCL: Multi-Atlas Guided Multi-View Contrast Learning for Autism Spectrum Disorder Classification
The proposed model demonstrates superior performance in ASD classification, highlighting the potential of multi-atlas and multi-view learning for improving diagnostic precision and supporting early intervention strategies.
Authors
- Yue Ma (ORCID: https://orcid.org/0000-0001-9473-8935)
- Shuo Huang (ORCID: https://orcid.org/0000-0003-2372-3773)
- Zuohao Yin (ORCID: https://orcid.org/0009-0006-9283-7175)
- Kai Ren (ORCID: https://orcid.org/0000-0002-0862-5633)
- Li Zhang (ORCID: https://orcid.org/0000-0002-4097-1501)
- Feng Xu (ORCID: https://orcid.org/0000-0003-0902-2858)
Institutions
- Nanjing Forestry University (CN)
- Jiangsu Vocational College of Medicine (CN)
Publication Details
- Journal
- Brain Sciences
- Published
- 2025-10-08
- DOI
- https://doi.org/10.3390/brainsci15101086
- Citations
- 1
- Primary Topic
- Autism Spectrum Disorder Research
- Type
- article
- Field-Weighted Citation Impact
- 1.43