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

, , , , и . ISBI, стр. 1-4. IEEE, (2022)

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ClinicaDL: An open-source deep learning software for reproducible neuroimaging processing., , , , , , и . Comput. Methods Programs Biomed., (2022)Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder., , , и . CoRR, (2021)MRI Field Strength Predicts Alzheimer's Disease: a Case Example of Bias in the ADNI Data Set., , , , и . ISBI, стр. 1-4. IEEE, (2022)Convolutional neural networks for classification of Alzheimer's disease: Overview and reproducible evaluation., , , , , , , , , и . 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)How can data augmentation improve attribution maps for disease subtype explainability., , , и . Medical Imaging: Image Processing, том 12464 из SPIE Proceedings, SPIE, (2023)Predicting the progression of mild cognitive impairment using machine learning: A systematic, quantitative and critical review., , , , , , , , , и 7 other автор(ы). Medical Image Anal., (2021)Convolutional Neural Networks for Classification of Alzheimer's Disease: Overview and Reproducible Evaluation., , , , , , , и . CoRR, (2019)Clinica: An Open-Source Software Platform for Reproducible Clinical Neuroscience Studies., , , , , , , , , и 14 other автор(ы). Frontiers Neuroinformatics, (2021)Homogenization of brain MRI from a clinical data warehouse using contrast-enhanced to non-contrast-enhanced image translation with U-Net derived models., , , , , , и . Medical Imaging: Image Processing, том 12032 из SPIE Proceedings, SPIE, (2022)