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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)Frequency Disentangled Learning for Segmentation of Midbrain Structures from Quantitative Susceptibility Mapping Data., , , , , , , , , and . CoRR, (2023)An Automated Pipeline for the Analysis of PET Data on the Cortical Surface., , , , , , , , , and 1 other author(s). Frontiers Neuroinformatics, (2018)Transfer learning from synthetic to routine clinical data for motion artefact detection in brain T1-weighted MRI., , , , , , and . Medical Imaging: Image Processing, volume 12464 of SPIE Proceedings, SPIE, (2023)Multi-atlas synthesis for computer assisted diagnosis: Application to cardiovascular diseases., , , and . ISBI, page 290-293. IEEE, (2015)MRI Field Strength Predicts Alzheimer's Disease: a Case Example of Bias in the ADNI Data Set., , , , and . ISBI, page 1-4. IEEE, (2022)Unsupervised Anomaly Detection in 3D Brain FDG PET: A Benchmark of 17 VAE-Based Approaches., , , and . DGM4MICCAI, volume 14533 of Lecture Notes in Computer Science, page 110-120. Springer, (2023)Attenuation Correction Synthesis for Hybrid PET-MR Scanners: Application to Brain Studies., , , , , , , , , and 5 other author(s). IEEE Trans. Medical Imaging, 33 (12): 2332-2341 (2014)Voxelwise atlas rating for computer assisted diagnosis: Application to congenital heart diseases of the great arteries., , , , and . Medical Image Anal., 26 (1): 185-194 (2015)