Spoken language proficiency predicts print-speech convergence in beginning readers. - Rebecca A. Marks; Ioulia Kovelman; Olga Kepinska; Myriam Oliver; Zhichao Xia; Stephanie L. Haft; Leo R. Zekelman; Priscilla Duong; Yuuko Uchikoshi; Roeland Hancock; Fumiko Hoeft (NeuroImage, 2019)

White Matter Tracts are Point Clouds: Neuropsychological Score Prediction and Critical Region Localization via Geometric Deep Learning. - Yuqian Chen; Fan Zhang 013; Chaoyi Zhang; Tengfei Xue; Leo R. Zekelman; Jianzhong He; Yang Song 001; Nikos Makris; Yogesh Rathi; Alexandra J. Golby; Weidong Cai 001; Lauren J. O'Donnell (MICCAI (1), 2022)

A Novel Supervised Contrastive Regression Framework for Prediction of Neurocognitive Measures Using Multi-Site Harmonized Diffusion MRI Tractography. - Tengfei Xue; Fan Zhang 013; Leo R. Zekelman; Chaoyi Zhang; Yuqian Chen; Suheyla Cetin Karayumak; Steven D. Pieper; William M. Wells III; Yogesh Rathi; Nikos Makris; Weidong Cai 001; Lauren J. O'Donnell (CoRR, 2022)

White matter association tracts underlying language and theory of mind: An investigation of 809 brains from the Human Connectome Project. - Leo R. Zekelman; Fan Zhang 013; Nikos Makris; Jianzhong He; Yuqian Chen; Tengfei Xue; Daniela Liera; Daniel L. Drane; Yogesh Rathi; Alexandra J. Golby; Lauren J. O'Donnell (NeuroImage, 2022)

Tractgraphcnn: Anatomically Informed Graph CNN for Classification Using Diffusion MRI Tractography. - Yuqian Chen; Fan Zhang 013; Leo R. Zekelman; Tengfei Xue; Chaoyi Zhang; Yang Song 001; Nikos Makris; Yogesh Rathi; Weidong Cai 001; Lauren J. O'Donnell (ISBI, 2023)

Tractography-Based Parcellation of Cerebellar Dentate Nuclei via a Deep Nonnegative Matrix Factorization Clustering Method. - Xiao Xu; Yuqian Chen; Leo R. Zekelman; Yogesh Rathi; Nikos Makris; Fan Zhang 013; Lauren J. O'Donnell (ISBI, 2023)

A Deep Network for Explainable Prediction of Non-imaging Phenotypes Using Anatomical Multi-view Data. - Yuxiang Wei 004; Yuqian Chen; Tengfei Xue; Leo R. Zekelman; Nikos Makris; Yogesh Rathi; Weidong Cai 001; Fan Zhang 013; Lauren J. O'Donnell (CDMRI@MICCAI, 2023)

A Novel Deep Clustering Framework for Fine-Scale Parcellation of Amygdala Using DMRI Tractography. - Haolin He; Ce Zhu; Le Zhang 001; Yipeng Liu 001; Xiao Xu; Yuqian Chen; Leo R. Zekelman; Jarrett Rushmore; Yogesh Rathi; Nikos Makris; Lauren J. O'Donnell; Fan Zhang 013 (ISBI, 2024)

Cross-Domain Fiber Cluster Shape Analysis for Language Performance Cognitive Score Prediction. - Yui Lo; Yuqian Chen; Dongnan Liu; Wan Liu 001; Leo R. Zekelman; Fan Zhang 013; Yogesh Rathi; Nikos Makris; Alexandra J. Golby; Weidong Cai 001; Lauren J. O'Donnell (CDMRI@MICCAI, 2024)

TractGraphFormer: Anatomically Informed Hybrid Graph CNN-Transformer Network for Classification from Diffusion MRI Tractography. - Yuqian Chen; Fan Zhang 013; Meng Wang; Leo R. Zekelman; Suheyla Cetin Karayumak; Tengfei Xue; Chaoyi Zhang; Yang Song 001; Nikos Makris; Yogesh Rathi; Tom Weidong Cai; Lauren J. O'Donnell (CoRR, 2024)

Deep multimodal saliency parcellation of cerebellar pathways: linking microstructure and individual function through explainable multitask learning. - Ari Tchetchenian; Leo R. Zekelman; Yuqian Chen; Jarrett Rushmore; Fan Zhang 013; Edward H. Yeterian; Nikos Makris; Yogesh Rathi; Erik Meijering; Yang Song 001; Lauren J. O'Donnell (CoRR, 2024)

White Matter Geometry-Guided Score-Based Diffusion Model for Tissue Microstructure Imputation in Tractography Imaging. - Yui Lo; Yuqian Chen; Fan Zhang 013; Dongnan Liu; Leo R. Zekelman; Suheyla Cetin Karayumak; Yogesh Rathi; Tom Weidong Cai; Lauren J. O'Donnell (CoRR, 2024)

The shape of the brain's connections is predictive of cognitive performance: an explainable machine learning study. - Yui Lo; Yuqian Chen; Dongnan Liu; Wan Liu 001; Leo R. Zekelman; Jarrett Rushmore; Fan Zhang 013; Yogesh Rathi; Nikos Makris; Alexandra J. Golby; Weidong Cai 001; Lauren J. O'Donnell (CoRR, 2024)

TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance. - Yuqian Chen; Leo R. Zekelman; Chaoyi Zhang; Tengfei Xue; Yang Song 001; Nikos Makris; Yogesh Rathi; Alexandra J. Golby; Weidong Cai 001; Fan Zhang 013; Lauren J. O'Donnell (Medical Image Anal., 2024)

TractShapeNet: Efficient Multi-Shape Learning with 3D Tractography Point Clouds. - Yui Lo; Yuqian Chen; Dongnan Liu; Jon Haitz Legarreta; Leo R. Zekelman; Fan Zhang 013; Jarrett Rushmore; Yogesh Rathi; Nikos Makris; Alexandra J. Golby; Tom Weidong Cai; Lauren J. O'Donnell (ISBI, 2025)

TractGraphFormer: Anatomically informed hybrid graph CNN-transformer network for interpretable sex and age prediction from diffusion MRI tractography. - Yuqian Chen; Fan Zhang 013; Meng Wang; Leo R. Zekelman; Suheyla Cetin Karayumak; Tengfei Xue; Chaoyi Zhang; Yang Song 001; Jarrett Rushmore; Nikos Makris; Yogesh Rathi; Weidong Cai 001; et al. (Medical Image Anal., 2025)

TractCloud-FOV: Deep Learning-based Robust Tractography Parcellation in Diffusion MRI with Incomplete Field of View. - Yuqian Chen; Leo R. Zekelman; Yui Lo; Suheyla Cetin Karayumak; Tengfei Xue; Yogesh Rathi; Nikos Makris; Fan Zhang 013; Tom Weidong Cai; Lauren J. O'Donnell (CoRR, 2025)

A Multimodal Deep Learning Approach for White Matter Shape Prediction in Diffusion MRI Tractography. - Yui Lo; Yuqian Chen; Dongnan Liu; Leo R. Zekelman; Jarrett Rushmore; Yogesh Rathi; Nikos Makris; Alexandra J. Golby; Fan Zhang 013; Tom Weidong Cai; Lauren J. O'Donnell (CoRR, 2025)