Leo R. Zekelman

Orcid: 0000-0001-6619-0378

According to our database1, Leo R. Zekelman authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance.
Medical Image Anal., 2024

White Matter Geometry-Guided Score-Based Diffusion Model for Tissue Microstructure Imputation in Tractography Imaging.
CoRR, 2024

Deep multimodal saliency parcellation of cerebellar pathways: linking microstructure and individual function through explainable multitask learning.
CoRR, 2024

TractGraphFormer: Anatomically Informed Hybrid Graph CNN-Transformer Network for Classification from Diffusion MRI Tractography.
CoRR, 2024

Cross-domain Fiber Cluster Shape Analysis for Language Performance Cognitive Score Prediction.
CoRR, 2024

A Novel Deep Clustering Framework for Fine-Scale Parcellation of Amygdala Using DMRI Tractography.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

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
Spoken language proficiency predicts print-speech convergence in beginning readers.
NeuroImage, 2019


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