Convolutional variational auto-encoder and vision transformer hybrid approach for enhanced early Alzheimer's detection.

Fonseka H, Varastehpour S, Shakiba M, Golkar E, Tien D

DOI: 10.1117/1.jmi.12.3.034501
Published: 2025 May
Container: Journal of medical imaging (Bellingham, Wash.)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1117/1.jmi.12.3.034501,
  title = {Convolutional variational auto-encoder and vision transformer hybrid approach for enhanced early Alzheimer's detection.},
  author = {Fonseka H and Varastehpour S and Shakiba M and Golkar E and Tien D},
  year = {2025},
  journal = {Journal of medical imaging (Bellingham, Wash.)},
  doi = {10.1117/1.jmi.12.3.034501},
  url = {https://doi.org/10.1117/1.jmi.12.3.034501}
}

RIS

TY  - JOUR
TI  - Convolutional variational auto-encoder and vision transformer hybrid approach for enhanced early Alzheimer's detection.
AU  - Fonseka H
AU  - Varastehpour S
AU  - Shakiba M
AU  - Golkar E
AU  - Tien D
PY  - 2025
JO  - Journal of medical imaging (Bellingham, Wash.)
DO  - 10.1117/1.jmi.12.3.034501
UR  - https://doi.org/10.1117/1.jmi.12.3.034501
ER  -

APA

H, F., S, V., M, S., E, G., & D, T. (2025). Convolutional variational auto-encoder and vision transformer hybrid approach for enhanced early Alzheimer's detection.. Journal of medical imaging (Bellingham, Wash.). https://doi.org/10.1117/1.jmi.12.3.034501

Source records

pubmed · retrieved 2026-09-26T14:27:00.844Z