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Yet Another ADNI Machine Learning Paper? Paving the Way Towards Fully-Reproducible Research on Classification of Alzheimer's Disease.

, , , , , , , and . MLMI@MICCAI, volume 10541 of Lecture Notes in Computer Science, page 53-60. Springer, (2017)

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Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation., , , , , , , , , and . Medical Image Anal., (2020)Reproducible evaluation of methods for predicting progression to Alzheimer's disease from clinical and neuroimaging data., , , , , , and . Medical Imaging: Image Processing, volume 10949 of SPIE Proceedings, page 109490V. SPIE, (2019)Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation., , , , , , , and . CoRR, (2019)Accuracy of MRI Classification Algorithms in a Tertiary Memory Center Clinical Routine Cohort., , , , , , , , , and 5 other author(s). CoRR, (2020)Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies., , , , , , , , , and 14 other author(s). Frontiers Neuroinformatics, (2021)Reproducible Evaluation of Diffusion MRI Features for Automatic Classification of Patients with Alzheimer's Disease., , , , , , , , , and 1 other author(s). Neuroinformatics, 19 (1): 57-78 (2021)Reproducible evaluation of diffusion MRI features for automatic classification of patients with Alzheimers disease., , , , , , , , , and 1 other author(s). CoRR, (2018)An Automated Pipeline for the Analysis of PET Data on the Cortical Surface., , , , , , , , , and 1 other author(s). Frontiers Neuroinformatics, (2018)Learning from multimodal data for classification and prediction of Alzheimer's disease. (Apprentissage à partir de données multimodales pour la classification et la prédiction de la maladie d'Alzheimer).. Sorbonne University, France, (2019)