2 citations · 2 across the 4 of their papers we have counts for
4 papers
Tractography-Guided Dual-Label Collaborative Learning for Multi-Modal Cranial Nerves Parcellation
Lei Xie, Junxiong Huang, Yuanjing Feng +1
The parcellation of Cranial Nerves (CNs) serves as a crucial quantitative methodology for evaluating the morphological characteristics and anatomical pathways of specific CNs. Mult…
Automated Mapping the Pathways of Cranial Nerve II, III, V, and VII/VIII: A Multi-Parametric Multi-Stage Diffusion Tractography Atlas
Lei Xie, Jiahao Huang, Jiawei Zhang +7
Cranial nerves (CNs) play a crucial role in various essential functions of the human brain, and mapping their pathways from diffusion MRI (dMRI) provides valuable preoperative insi…
An Arbitrary-Modal Fusion Network for Volumetric Cranial Nerves Tract Segmentation
Lei Xie, Huajun Zhou, Junxiong Huang +9
The segmentation of cranial nerves (CNs) tract provides a valuable quantitative tool for the analysis of the morphology and trajectory of individual CNs. Multimodal CNs tract segme…
MICCAI-CDMRI 2023 QuantConn Challenge Findings on Achieving Robust Quantitative Connectivity through Harmonized Preprocessing of Diffusion MRI
Nancy R. Newlin, Kurt Schilling, Serge Koudoro +33
White matter alterations are increasingly implicated in neurological diseases and their progression. International-scale studies use diffusion-weighted magnetic resonance imaging (…