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Continual learning: A comparative study on how to defy forgetting in classification tasks., , , , , , , and . CoRR, (2019)Proceedings of the Workshop on Brain Analysis using COnnectivity Networks - BACON 2016., , , and . CoRR, (2016)(Hyper)-graphical models in biomedical image analysis., , , , , and . Medical Image Analysis, (2016)Metric learning with spectral graph convolutions on brain connectivity networks., , , , , , and . NeuroImage, (2018)Uncertainty Quantification in CNN-Based Surface Prediction Using Shape Priors., , , , , , , and . ShapeMI@@MICCAI, volume 11167 of Lecture Notes in Computer Science, page 300-310. Springer, (2018)A flexible graphical model for multi-modal parcellation of the cortex., , , , , and . NeuroImage, (2017)Meta-Learning for Few-shot Camera-Adaptive Color Constancy., , , and . CoRR, (2018)Disease Prediction using Graph Convolutional Networks: Application to Autism Spectrum Disorder and Alzheimer's Disease., , , , , , and . CoRR, (2018)Boundary Mapping Through Manifold Learning for Connectivity-Based Cortical Parcellation., , and . MICCAI (1), volume 9900 of Lecture Notes in Computer Science, page 115-122. (2016)Tractography-Driven Groupwise Multi-scale Parcellation of the Cortex., , , , and . IPMI, volume 9123 of Lecture Notes in Computer Science, page 600-612. Springer, (2015)