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Deep multimodal saliency parcellation of cerebellar pathways: linking microstructure and individual function through explainable multitask learning.

, , , , , , , , , , and . CoRR, (2024)

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The shape of the brain's connections is predictive of cognitive performance: an explainable machine learning study., , , , , , , , , and 2 other author(s). CoRR, (2024)A Novel Deep Clustering Framework for Fine-Scale Parcellation of Amygdala Using DMRI Tractography., , , , , , , , , and 2 other author(s). ISBI, page 1-5. IEEE, (2024)Deep multimodal saliency parcellation of cerebellar pathways: linking microstructure and individual function through explainable multitask learning., , , , , , , , , and 1 other author(s). CoRR, (2024)Impact of brain tissue filtering on neurostimulation fields: A modeling study., , , , , , , , , and 4 other author(s). NeuroImage, (2014)A Novel Deep Learning Tractography Fiber Clustering Framework for Functionally Consistent White Matter Parcellation Using Multimodal Diffusion MRI and Functional MRI., , , , , , , , , and . CoRR, (2024)TractShapeNet: Efficient Multi-Shape Learning with 3D Tractography Point Clouds., , , , , , , , , and 2 other author(s). CoRR, (2024)GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency., , , , , , , , and . CVPR, page 18084-18094. IEEE, (2023)