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A Transfer-Learning Approach to Image Segmentation Across Scanners by Maximizing Distribution Similarity.

, , , and . MLMI, volume 8184 of Lecture Notes in Computer Science, page 49-56. Springer, (2013)

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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)Hydranet: Data Augmentation for Regression Neural Networks., , , , , , and . CoRR, (2018)Independent Multiple Factor Association Analysis for Multiblock Data in Imaging Genetics., , , , , , , , , and 1 other author(s). Neuroinformatics, 17 (4): 583-592 (2019)Transfer Learning Improves Supervised Image Segmentation Across Imaging Protocols., , , and . IEEE Trans. Medical Imaging, 34 (5): 1018-1030 (2015)Disconnection due to white matter hyperintensities is associated with lower cognitive scores., , , , , , and . NeuroImage, (2018)Progression along data-driven disease timelines is predictive of Alzheimer's disease in a population-based cohort., , , , , , and . NeuroImage, (2021)Accuracy and reproducibility study of automatic MRI brain tissue segmentation methods., , , , , , and . NeuroImage, 51 (3): 1047-1056 (2010)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)Spatially Regularized Shape Analysis of the Hippocampus Using P-Spline Based Shape Regression., , , , , , and . IEEE J. Biomed. Health Informatics, 24 (3): 825-834 (2020)