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

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A Deep Network for Explainable Prediction of Non-imaging Phenotypes Using Anatomical Multi-view Data., , , , , , , , and . CDMRI@MICCAI, volume 14328 of Lecture Notes in Computer Science, page 165-176. Springer, (2023)TractShapeNet: Efficient Multi-Shape Learning with 3D Tractography Point Clouds., , , , , , , , , and 2 other author(s). CoRR, (2024)Tractgraphcnn: Anatomically Informed Graph CNN for Classification Using Diffusion MRI Tractography., , , , , , , , , and . ISBI, page 1-5. IEEE, (2023)Tractography-Based Parcellation of Cerebellar Dentate Nuclei via a Deep Nonnegative Matrix Factorization Clustering Method., , , , , , and . ISBI, page 1-4. IEEE, (2023)White Matter Geometry-Guided Score-Based Diffusion Model for Tissue Microstructure Imputation in Tractography Imaging., , , , , , , , and . 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)Cross-domain Fiber Cluster Shape Analysis for Language Performance Cognitive Score Prediction., , , , , , , , , and 1 other author(s). CoRR, (2024)TractGraphCNN: anatomically informed graph CNN for classification using diffusion MRI tractography., , , , , , , , , and . CoRR, (2023)The shape of the brain's connections is predictive of cognitive performance: an explainable machine learning study., , , , , , , , , and 2 other author(s). CoRR, (2024)TractGraphFormer: Anatomically Informed Hybrid Graph CNN-Transformer Network for Classification from Diffusion MRI Tractography., , , , , , , , , and 2 other author(s). CoRR, (2024)