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Tractography-Based Parcellation of Cerebellar Dentate Nuclei via a Deep Nonnegative Matrix Factorization Clustering Method.

, , , , , , and . ISBI, page 1-4. IEEE, (2023)

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Deep fiber clustering: Anatomically informed fiber clustering with self-supervised deep learning for fast and effective tractography parcellation., , , , , , , , and . NeuroImage, (June 2023)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)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)Celltrack R-CNN: A Novel End-To-End Deep Neural Network For Cell Segmentation And Tracking In Microscopy Images., , , , , , and . ISBI, page 779-782. IEEE, (2021)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)DFC: Anatomically Informed Fiber Clustering with Self-supervised Deep Learning for Fast and Effective Tractography Parcellation., , , , , , , , and . CoRR, (2022)Fiber Tract Shape Measures Inform Prediction of Non-Imaging Phenotypes., , , , , , , and . CoRR, (2023)DEEPRGVP: A novel microstructure-informed supervised contrastive learning framework for automated identification of the retinogeniculate pathway using dMRI tractography., , , , , , , , , and 6 other author(s). ISBI, page 1-5. IEEE, (2023)A study of effect of N-back and arithmetic mental workload on performance of P300-Speller., , , , , , and . iCAST, page 163-167. IEEE, (2015)Concurrent mental activities affect ERPs and impair performance of ERP-spellers., , , , , , and . NER, page 118-121. IEEE, (2015)