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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)

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Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation., , , , , , , and . MICCAI (7), volume 12907 of Lecture Notes in Computer Science, page 497-507. Springer, (2021)Creation of a novel trigeminal tractography atlas for automated trigeminal nerve identification., , , , , , , , , and 2 other author(s). NeuroImage, (2020)A Deep-Learning Framework for Estimating the Posterior Distribution of the Standard Model of Diffusion Mri., , and . ISBI, page 1-4. IEEE, (2023)In-Vivo Estimation of Axon Radii From Clinical Scanners., , and . ISBI, page 1-5. IEEE, (2023)TractCloud: Registration-Free Tractography Parcellation with a Novel Local-Global Streamline Point Cloud Representation., , , , , , , , and . MICCAI (8), volume 14227 of Lecture Notes in Computer Science, page 409-419. Springer, (2023)Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?, , , , , , , , , and 131 other author(s). NeuroImage, (2021)Estimating Neural Orientation Distribution Fields on High Resolution Diffusion MRI Scans., , , , , and . MICCAI (7), volume 15007 of Lecture Notes in Computer Science, page 307-317. Springer, (2024)A Deep Learning Approach Using Masked Image Modeling for Reconstruction of Undersampled K-spaces., , and . CoRR, (2022)Model and Predict Age and Sex in Healthy Subjects Using Brain White Matter Features: A Deep Learning Approach., , , , , , and . ISBI, page 1-5. IEEE, (2022)Time-varying Finite Dimensional Basis for Tracking Contour Deformations., , , and . CDC, page 1665-1672. IEEE, (2006)