Leo R. Zekelman
According to our database1,
Leo R. Zekelman
authored at least 9 papers
between 2019 and 2024.
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Bibliography
2024
Cross-domain Fiber Cluster Shape Analysis for Language Performance Cognitive Score Prediction.
CoRR, 2024
2023
TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance.
CoRR, 2023
A Deep Network for Explainable Prediction of Non-imaging Phenotypes Using Anatomical Multi-view Data.
Proceedings of the Computational Diffusion MRI - 14th International Workshop, 2023
Tractography-Based Parcellation of Cerebellar Dentate Nuclei via a Deep Nonnegative Matrix Factorization Clustering Method.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
Tractgraphcnn: Anatomically Informed Graph CNN for Classification Using Diffusion MRI Tractography.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023
2022
White matter association tracts underlying language and theory of mind: An investigation of 809 brains from the Human Connectome Project.
NeuroImage, 2022
A Novel Supervised Contrastive Regression Framework for Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion MRI Tractography.
CoRR, 2022
White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
2019
NeuroImage, 2019