Open Access
| Issue |
ITM Web Conf.
Volume 84, 2026
2026 International Conference on Advent Trends in Computational Intelligence and Data Science (ATCIDS 2026)
|
|
|---|---|---|
| Article Number | 01009 | |
| Number of page(s) | 7 | |
| Section | Intelligent Computing in Healthcare and Bioinformatics | |
| DOI | https://doi.org/10.1051/itmconf/20268401009 | |
| Published online | 06 April 2026 | |
- D. S. Knopman, H. Amieva, R. C. Petersen, et al. Alzheimer disease. Nat Rev Dis Primers 7, 33 (2021) [Google Scholar]
- S. Philip et al. Alzheimer’s disease. The Lancet, Volume 397, Issue 10284, 1577 – 1590. (2021) [Google Scholar]
- R. Ren, J. Qi, S. Lin, et al. The China Alzheimer Report 2022. General psychiatry, 35(1), e100751. (2022) [Google Scholar]
- H. Choi, K. H. Jin, Predicting cognitive decline with deep learning of brain metabolism and amyloid imaging, Behavioural Brain Research, Volume 344, (2018) [Google Scholar]
- X. W. Gao and R. Hui, A deep learning based approach to classification of CT brain images, 2016 SAI Computing Conference (SAI), London, UK, pp. 28–31. (2016) [Google Scholar]
- L. Liu, S. H. Zhao, H. B. Chen, A. G. Wang, A new machine learning method for identifying Alzheimer’s disease, Simulation Modelling Practice and Theory, Volume 99, (2020) [Google Scholar]
- A. Kumar, J. Sidhu, F. Lui, et al. Alzheimer Disease. [Updated 2024 Feb 12]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing, (2025) [Google Scholar]
- P. Vemuri, C. R. Jack. Role of structural MRI in Alzheimer’s disease. Alz Res Therapy 2. (2017) [Google Scholar]
- Z. Li, F. Liu, W. Yang, S. Peng and J. Zhou, A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects, in IEEE Transactions on Neural Networks and Learning Systems. (2021) [Google Scholar]
- R. Yamashita, M. Nishio, R. K. G. Do, et al. Convolutional neural networks: an overview and application in radiology. Insights Imaging 9, 611–629 (2018) [CrossRef] [Google Scholar]
- S. Ji, W. Xu, M. Yang and K. Yu, 3D Convolutional Neural Networks for Human Action Recognition, in IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 35, no. 1, pp. 221–231, (2013) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.