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% Source: https://alzhub.org/research?category=diagnosis&atag=convolutional
% 3 entries, in the order the page lists them. Built from alzhub.org's own records.
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@article{vilella2026-6ddf0c22,
  author  = {Vilella, D. and Tafuri, B. and Urso, D. and Rollo, E. and Giannoni-Luza, S. and Gigli, G. and Tartaglione, B. and Logroscino, G.},
  title   = {{A Machine Learning-Based Framework for differential screening of Neurodegenerative Dementias using routine clinical data}},
  journal = {Research Square},
  year    = {2026},
  doi     = {10.21203/rs.3.rs-10815316/v1},
  url     = {https://doi.org/10.21203/rs.3.rs-10815316/v1}
}

@article{ahmadi2026-5d93c013,
  author  = {Ahmadi, F. and Bidabad, B.},
  title   = {{Hippocampal surface analysis using discrete Ricci flow and Riemannian metrics for the diagnosis of Alzheimer's disease}},
  journal = {Research Square},
  year    = {2026},
  doi     = {10.21203/rs.3.rs-10382441/v1},
  url     = {https://doi.org/10.21203/rs.3.rs-10382441/v1}
}

@article{filiz2026-984b6c78,
  author  = {Filiz, T. T. and Fominykh, V. and Persson, K. and Michelet, M. and Broce, I. J. and Medbøen, I. T. and Aam, S. and Shadrin, A. and others},
  title   = {{An Integrative Multimodal Model for Early Diagnosis of Dementia and Differential Diagnosis of Alzheimer’s Disease Using Neuroimaging, Polygenic Risk, and Cognitive Assessments}},
  journal = {medRxiv},
  year    = {2026},
  doi     = {10.64898/2026.07.31.26359317},
  url     = {https://doi.org/10.64898/2026.07.31.26359317}
}