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When Weak Becomes Strong: Robust Quantification of White Matter Hyperintensities in Brain MRI scans., , , , , , and . CoRR, (2020)Supervised Image Segmentation across Scanner Protocols: A Transfer Learning Approach., , , and . MLMI, volume 7588 of Lecture Notes in Computer Science, page 160-167. Springer, (2012)Progression along data-driven disease timelines is predictive of Alzheimer's disease in a population-based cohort., , , , , , and . NeuroImage, (2021)Transfer Learning Improves Supervised Image Segmentation Across Imaging Protocols., , , and . IEEE Trans. Medical Imaging, 34 (5): 1018-1030 (2015)Learning unbiased registration and joint segmentation: evaluation on longitudinal diffusion MRI., , , , , and . CoRR, (2020)Hydranet: Data Augmentation for Regression Neural Networks., , , , , , and . MICCAI (4), volume 11767 of Lecture Notes in Computer Science, page 438-446. Springer, (2019)Longitudinal analysis of diffusion-weighted MRI with a ball-and-sticks model., , , , , , and . ISBI, page 783-786. IEEE, (2017)Where is VALDO? VAscular Lesions Detection and segmentatiOn challenge at MICCAI 2021., , , , , , , , , and 39 other author(s). Medical Image Anal., (January 2024)3D Regression Neural Network for the Quantification of Enlarged Perivascular Spaces in Brain MRI., , , , , , and . CoRR, (2018)kNN-based multi-spectral MRI brain tissue classification: manual training versus automated atlas-based training., , , , , , and . Medical Imaging: Image Processing, volume 6144 of SPIE Proceedings, page 61443L. SPIE, (2006)