Enhancing Alzheimer's Diagnosis: Leveraging Anatomical Landmarks in Graph Convolutional Neural Networks on Tetrahedral Meshes.

Chen Y, Farazi M, Yang Z, Fan Y, Ashton N, Reiman EM, Su Y, Wang Y.

Open source

DOI
10.1007/978-3-031-96625-5_5
Published
2025-08-07
Container
Inf Process Med Imaging
Publisher
Not recorded
Open access
no

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BibTeX

@article{allodium:10.1007/978-3-031-96625-5_5,
  title = {Enhancing Alzheimer's Diagnosis: Leveraging Anatomical Landmarks in Graph Convolutional Neural Networks on Tetrahedral Meshes.},
  author = {Chen Y and  Farazi M and  Yang Z and  Fan Y and  Ashton N and  Reiman EM and  Su Y and  Wang Y.},
  year = {2026},
  journal = {Inf Process Med Imaging},
  doi = {10.1007/978-3-031-96625-5_5},
  url = {https://doi.org/10.1007/978-3-031-96625-5_5}
}

RIS

TY  - JOUR
TI  - Enhancing Alzheimer's Diagnosis: Leveraging Anatomical Landmarks in Graph Convolutional Neural Networks on Tetrahedral Meshes.
AU  - Chen Y
AU  -  Farazi M
AU  -  Yang Z
AU  -  Fan Y
AU  -  Ashton N
AU  -  Reiman EM
AU  -  Su Y
AU  -  Wang Y.
PY  - 2026
JO  - Inf Process Med Imaging
DO  - 10.1007/978-3-031-96625-5_5
UR  - https://doi.org/10.1007/978-3-031-96625-5_5
ER  - 

APA

Y, C., M, F., Z, Y., Y, F., N, A., EM, R., Y, S., & Y., W. (2026). Enhancing Alzheimer's Diagnosis: Leveraging Anatomical Landmarks in Graph Convolutional Neural Networks on Tetrahedral Meshes.. Inf Process Med Imaging. https://doi.org/10.1007/978-3-031-96625-5_5

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