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MRI Field Strength Predicts Alzheimer's Disease: a Case Example of Bias in the ADNI Data Set.

, , , , and . ISBI, page 1-4. IEEE, (2022)

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ClinicaDL: An open-source deep learning software for reproducible neuroimaging processing., , , , , , and . Comput. Methods Programs Biomed., (2022)Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder., , , and . CoRR, (2021)MRI Field Strength Predicts Alzheimer's Disease: a Case Example of Bias in the ADNI Data Set., , , , and . ISBI, page 1-4. IEEE, (2022)Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation., , , , , , , , , and . Medical Image Anal., (2020)Reproducible and interpretable deep learning for the diagnosis, prognosis and subtyping of Alzheimer's disease from neuroimaging data. (Méthodes d'apprentissage profond reproductibles et interprétables pour le diagnostic, le pronostic et l'identification de sous-groupes de la maladie d'Alzheimer à partir de données de neuroimagerie).. Sorbonne University, France, (2021)Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies., , , , , , , , , and 14 other author(s). Frontiers Neuroinformatics, (2021)Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation., , , , , , , and . CoRR, (2019)Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review., , , , , , , , , and 7 other author(s). Medical Image Anal., (2021)How can data augmentation improve attribution maps for disease subtype explainability., , , and . Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)Reproducibility in machine learning for medical imaging., , and . CoRR, (2022)