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Cheriet, F., Lazli, L., & Boukadoum, M. (2025). Multiclass prediction of Alzheimer's disease using balanced multimodal data and deep ensemble learning. Biomedical Signal Processing and Control, 114, 109026 (29 pages). Lien externe
Lazli, L. (2025). Authors' Response to Peer Reviews of "Improved Alzheimer Disease Diagnosis With a Machine Learning Approach and Neuroimaging: Case Study Development". JMIRx Med, 6, e72821 (5 pages). Lien externe
Lazli, L. (2025). Improved Alzheimer disease diagnosis with a machine learning approach and neuroimaging: Case study development. JMIRx Med, 6, e60866 (13 pages). Disponible
Lazli, L. Applying Transfer Learning Based Deep Models on Structural and Functional Brain Images to Predict Alzheimer's Disease [Communication écrite]. Non spécifié. Lien externe
Lazli, L., Boukadoum, M., & Cheriet, F. (décembre 2024). Places365-CNNs for 4-Way Classification of Alzheimer's Disease Using MRI Images [Communication écrite]. 11th International Conference on Computational Science and Computational Intelligence (CSCI 2024), Las Vegas, NV, USA. Lien externe
Lazli, L., Cheriet, F., & Boukadoum, M. (juillet 2025). Brain Imaging Data Classification with Deep Reinforcement Learning and Multimodal Fusion [Communication écrite]. 21st International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD 2025), Hohhot, China. Lien externe
Lazli, L., Cheriet, F., & Boukadoum, M. (mai 2025). Diagnosis of Alzheimer's Disease with Deep Convolutional Neural Networks Using FDG-PET Brain Images [Communication écrite]. 9th International Conference on Medical and Health Informatics (ICMHI 2025), Kyoto, Japan. Lien externe
