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Learning with Heterogeneous Data for Longitudinal Studies.

, , , , , , and . MICCAI (3), volume 9351 of Lecture Notes in Computer Science, page 535-542. Springer, (2015)

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Learning Interpretable Regularized Ordinal Models from 3D Mesh Data for Neurodegenerative Disease Staging., , , , , , , , , and 32 other author(s). MLCN@MICCAI, volume 13596 of Lecture Notes in Computer Science, page 115-124. Springer, (2022)Learning from Enhanced Contextual Similarity in Brain Imaging Data for Classification of Schizophrenia., , , , and . ICIAP (1), volume 10484 of Lecture Notes in Computer Science, page 265-275. Springer, (2017)Functional Maps for Brain Classification on Spectral Domain., , , , , , , , and . SeSAMI@MICCAI, volume 10126 of Lecture Notes in Computer Science, page 25-36. Springer, (2016)Investigating the Impact of Genetic Background on Brain Dynamic Functional Connectivity Through Machine Learning: A Twins Study., , , , , , and . BHI, page 1-4. IEEE, (2019)Diffusion tensor imaging and fiber tractography.. University of Padua, Italy, (2012)Comparison Of Brain Connectomes Using Geodesic Distance On Manifold: A Twins Study., , , , , , and . ISBI, page 1797-1800. IEEE, (2019)Analysis of Dynamic Brain Connectivity Through Geodesic Clustering., , , , , , and . ICIAP (2), volume 11752 of Lecture Notes in Computer Science, page 640-648. Springer, (2019)Learning with Heterogeneous Data for Longitudinal Studies., , , , , , and . MICCAI (3), volume 9351 of Lecture Notes in Computer Science, page 535-542. Springer, (2015)