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Imaging Genetics: Bio-Informatics and Bio-Statistics Challenges., , , , , and . COMPSTAT, page 101-110. Physica-Verlag, (2010)Benchmarking CNN on 3D Anatomical Brain MRI: Architectures, Data Augmentation and Deep Ensemble Learning., , , , , and . CoRR, (2021)Conditional Alignment and Uniformity for Contrastive Learning with Continuous Proxy Labels., , , , and . CoRR, (2021)Neuroimaging signatures of brain disorders: Fighting overfitting in predictive models.. (2020)MixUp Brain-Cortical Augmentations in Self-supervised Learning., , , , and . MLCN@MICCAI, volume 14312 of Lecture Notes in Computer Science, page 102-111. Springer, (2023)Brain morphometry using 3D moment invariants., , , , , , , and . Medical Image Anal., 8 (3): 187-196 (2004)Predictive support recovery with TV-Elastic Net penalty and logistic regression: an application to structural MRI., , , , , , and . (2014)cite arxiv:1407.5602.Feature selection and classification of imbalanced datasets: Application to PET images of children with autistic spectrum disorders., , , , , , , and . NeuroImage, 57 (3): 1003-1014 (2011)OpenBHB: a Large-Scale Multi-Site Brain MRI Data-set for Age Prediction and Debiasing., , , , , and . NeuroImage, (2022)A fast and robust hippocampal subfields segmentation: HSF revealing lifespan volumetric dynamics., , , , , , , , and . Frontiers Neuroinformatics, (March 2023)