activity
20232025
most citedA diffusion MRI tractography atlas for concurrent white matter mapping across Eastern and Western populations

15 citations · 46 across the 14 of their papers we have counts for

collaborators

14 papers

cs.NE2025

Cross-Population White Matter Atlas Creation for Concurrent Mapping of Brain Connections in Neonates and Adults with Diffusion MRI Tractography

Wei Zhang, Yijie Li, Ruixi Zheng +9

Comparing white matter (WM) connections between adults and neonates using diffusion MRI (dMRI) can advance our understanding of typical brain development and potential biomarkers f…

eess.IV2025

DMVFC: Deep Learning Based Functionally Consistent Tractography Fiber Clustering Using Multimodal Diffusion MRI and Functional MRI

Bocheng Guo, Jin Wang, Yijie Li +9

Tractography fiber clustering using diffusion MRI (dMRI) is a crucial method for white matter (WM) parcellation to enable analysis of brains structural connectivity in health and d…

cs.CV2025★ 1 cited

Investigating Demographic Bias in Brain MRI Segmentation: A Comparative Study of Deep-Learning and Non-Deep-Learning Methods

Ghazal Danaee, Marc Niethammer, Jarrett Rushmore +1

Deep-learning-based segmentation algorithms have substantially advanced the field of medical image analysis, particularly in structural delineations in MRIs. However, an important…

q-bio.QM2025

AGFS-Tractometry: A Novel Atlas-Guided Fine-Scale Tractometry Approach for Enhanced Along-Tract Group Statistical Comparison Using Diffusion MRI Tractography

Ruixi Zheng, Wei Zhang, Yijie Li +7

Diffusion MRI (dMRI) tractography is currently the only method for in vivo mapping of the brain's white matter (WM) connections. Tractometry is an advanced tractography analysis te…

eess.IV2025★ 2 cited

A Multimodal Deep Learning Approach for White Matter Shape Prediction in Diffusion MRI Tractography

Yui Lo, Yuqian Chen, Dongnan Liu +8

Shape measures have emerged as promising descriptors of white matter tractography, offering complementary insights into anatomical variability and associations with cognitive and c…

eess.IV2025

DeepNuParc: A Novel Deep Clustering Framework for Fine-scale Parcellation of Brain Nuclei Using Diffusion MRI Tractography

Haolin He, Ce Zhu, Le Zhang +9

Brain nuclei are clusters of anatomically distinct neurons that serve as important hubs for processing and relaying information in various neural circuits. Fine-scale parcellation…

eess.IV2024

A Novel Deep Learning Tractography Fiber Clustering Framework for Functionally Consistent White Matter Parcellation Using Multimodal Diffusion MRI and Functional MRI

Jin Wang, Bocheng Guo, Yijie Li +7

Tractography fiber clustering using diffusion MRI (dMRI) is a crucial strategy for white matter (WM) parcellation. Current methods primarily use the geometric information of fibers…

cs.CV2024

TractShapeNet: Efficient Multi-Shape Learning with 3D Tractography Point Clouds

Yui Lo, Yuqian Chen, Dongnan Liu +9

Brain imaging studies have demonstrated that diffusion MRI tractography geometric shape descriptors can inform the study of the brain's white matter pathways and their relationship…

q-bio.NC2024★ 14 cited

The shape of the brain's connections is predictive of cognitive performance: an explainable machine learning study

Yui Lo, Yuqian Chen, Dongnan Liu +9

The shape of the brain's white matter connections is relatively unexplored in diffusion MRI tractography analysis. While it is known that tract shape varies in populations and acro…

q-bio.NC2024

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

Ari Tchetchenian, Leo Zekelman, Yuqian Chen +8

Parcellation of human cerebellar pathways is essential for advancing our understanding of the human brain. Existing diffusion MRI tractography parcellation methods have been succes…

cs.CV2024★ 13 cited

TractGraphFormer: Anatomically Informed Hybrid Graph CNN-Transformer Network for Interpretable Sex and Age Prediction from Diffusion MRI Tractography

Yuqian Chen, Fan Zhang, Meng Wang +10

The relationship between brain connections and non-imaging phenotypes is increasingly studied using deep neural networks. However, the local and global properties of brain white ma…

q-bio.NC2024★ 15 cited

A diffusion MRI tractography atlas for concurrent white matter mapping across Eastern and Western populations

Yijie Li, Wei Zhang, Ye Wu +11

The study of brain differences across Eastern and Western populations provides vital insights for understanding potential cultural and genetic influences on cognition and mental he…

eess.IV2023

A Novel Deep Clustering Framework for Fine-Scale Parcellation of Amygdala Using dMRI Tractography

Haolin He, Ce Zhu, Le Zhang +9

The amygdala plays a vital role in emotional processing and exhibits structural diversity that necessitates fine-scale parcellation for a comprehensive understanding of its anatomi…

cs.CV2023★ 1 cited

Reconstructing the somatotopic organization of the corticospinal tract remains a challenge for modern tractography methods

Jianzhong He, Fan Zhang, Yiang Pan +8

The corticospinal tract (CST) is a critically important white matter fiber tract in the human brain that enables control of voluntary movements of the body. Diffusion MRI tractogra…