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20212023
most citedDeepRGVP: A Novel Microstructure-Informed Supervised Contrastive Learning Framework for Automated Identification Of The Retinogeniculate Pathway Using dMRI Tractography

2 citations · 3 across the 6 of their papers we have counts for

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cs.CV2023

TractCloud: Registration-free tractography parcellation with a novel local-global streamline point cloud representation

Tengfei Xue, Yuqian Chen, Chaoyi Zhang +6

Diffusion MRI tractography parcellation classifies streamlines into anatomical fiber tracts to enable quantification and visualization for clinical and scientific applications. Cur…

cs.CV2023

TractGeoNet: A geometric deep learning framework for pointwise analysis of tract microstructure to predict language assessment performance

Yuqian Chen, Leo R. Zekelman, Chaoyi Zhang +8

We propose a geometric deep-learning-based framework, TractGeoNet, for performing regression using diffusion magnetic resonance imaging (dMRI) tractography and associated pointwise…

cs.CV20231 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…

cs.CV20222 cited

DeepRGVP: A Novel Microstructure-Informed Supervised Contrastive Learning Framework for Automated Identification Of The Retinogeniculate Pathway Using dMRI Tractography

Sipei Li, Jianzhong He, Tengfei Xue +13

The retinogeniculate pathway (RGVP) is responsible for carrying visual information from the retina to the lateral geniculate nucleus. Identification and visualization of the RGVP a…

cs.CV2022

SupWMA: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning

Tengfei Xue, Fan Zhang, Chaoyi Zhang +6

White matter parcellation classifies tractography streamlines into clusters or anatomically meaningful tracts to enable quantification and visualization. Most parcellation methods…

cs.CV2021

Deep Fiber Clustering: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Parcellation

Yuqian Chen, Chaoyi Zhang, Yang Song +5

White matter fiber clustering (WMFC) enables parcellation of white matter tractography for applications such as disease classification and anatomical tract segmentation. However, t…