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

X. Xu, Y. Chen, L. Zekelman, Y. Rathi, N. Makris, F. Zhang, and L. O'Donnell. ISBI, page 1-4. IEEE, (2023)

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Leo Decker

Aufklärungspflichten über Innenprovisionen, Kick-backs und Retrozessionen bei der KapitalanlageL. Decker. Uni Tübingen, (2009)

R Ringseis

R Schäfer

R Haak

R Manzke

Other publications of authors with the same name

A Deep Network for Explainable Prediction of Non-imaging Phenotypes Using Anatomical Multi-view Data.Y. Wei, Y. Chen, T. Xue, L. Zekelman, N. Makris, Y. Rathi, W. Cai, F. Zhang, and L. O'Donnell. CDMRI@MICCAI, volume 14328 of Lecture Notes in Computer Science, page 165-176. Springer, (2023)White matter association tracts underlying language and theory of mind: An investigation of 809 brains from the Human Connectome Project.L. Zekelman, F. Zhang, N. Makris, J. He, Y. Chen, T. Xue, D. Liera, D. Drane, Y. Rathi, A. Golby and 1 other author(s). NeuroImage, (2022)Tractgraphcnn: Anatomically Informed Graph CNN for Classification Using Diffusion MRI Tractography.Y. Chen, F. Zhang, L. Zekelman, T. Xue, C. Zhang, Y. Song, N. Makris, Y. Rathi, W. Cai, and L. O'Donnell. ISBI, page 1-5. IEEE, (2023)Tractography-Based Parcellation of Cerebellar Dentate Nuclei via a Deep Nonnegative Matrix Factorization Clustering Method.X. Xu, Y. Chen, L. Zekelman, Y. Rathi, N. Makris, F. Zhang, and L. O'Donnell. ISBI, page 1-4. IEEE, (2023)Spoken language proficiency predicts print-speech convergence in beginning readers.R. Marks, I. Kovelman, O. Kepinska, M. Oliver, Z. Xia, S. Haft, L. Zekelman, P. Duong, Y. Uchikoshi, R. Hancock and 1 other author(s). NeuroImage, (2019)Cross-domain Fiber Cluster Shape Analysis for Language Performance Cognitive Score Prediction.Y. Lo, Y. Chen, D. Liu, W. Liu, L. Zekelman, F. Zhang, Y. Rathi, N. Makris, A. Golby, W. Cai and 1 other author(s). CoRR, (2024)A Novel Supervised Contrastive Regression Framework for Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion MRI Tractography.T. Xue, F. Zhang, L. Zekelman, C. Zhang, Y. Chen, S. Karayumak, S. Pieper, W. III, Y. Rathi, N. Makris and 2 other author(s). CoRR, (2022)TractGraphCNN: anatomically informed graph CNN for classification using diffusion MRI tractography.Y. Chen, F. Zhang, L. Zekelman, T. Xue, C. Zhang, Y. Song, N. Makris, Y. Rathi, T. Cai, and L. O'Donnell. CoRR, (2023)TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance.Y. Chen, L. Zekelman, C. Zhang, T. Xue, Y. Song, N. Makris, Y. Rathi, A. Golby, W. Cai, F. Zhang and 1 other author(s). CoRR, (2023)White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning.Y. Chen, F. Zhang, C. Zhang, T. Xue, L. Zekelman, J. He, Y. Song, N. Makris, Y. Rathi, A. Golby and 2 other author(s). MICCAI (1), volume 13431 of Lecture Notes in Computer Science, page 174-184. Springer, (2022)

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Disambiguation of "Zekelman, Leo R."

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

Please choose a person to relate this publication to

Leo Decker

R Ringseis

R Schäfer

R Haak

R Manzke

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Zekelman, Leo R."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Tractography-Based Parcellation of Cerebellar Dentate Nuclei via a Deep Nonnegative Matrix Factorization Clustering Method.

Please choose a person to relate this publication to

Leo Decker

R Ringseis

R Schäfer

R Haak

R Manzke

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Tractography-Based Parcellation of Cerebellar Dentate Nuclei via a Deep Nonnegative Matrix Factorization Clustering Method.