2 citations · 4 across the 10 of their papers we have counts for
5 papers · 1 filter
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…
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…
Anatomy-guided fiber trajectory distribution estimation for cranial nerves tractography
Lei Xie, Qingrun Zeng, Huajun Zhou +6
Diffusion MRI tractography is an important tool for identifying and analyzing the intracranial course of cranial nerves (CNs). However, the complex environment of the skull base le…
Modality Exchange Network for Retinogeniculate Visual Pathway Segmentation
Hua Han, Cheng Li, Lei Xie +3
Accurate segmentation of the retinogeniculate visual pathway (RGVP) aids in the diagnosis and treatment of visual disorders by identifying disruptions or abnormalities within the p…
LESEN: Label-Efficient deep learning for Multi-parametric MRI-based Visual Pathway Segmentation
Alou Diakite, Cheng Li, Lei Xie +3
Recent research has shown the potential of deep learning in multi-parametric MRI-based visual pathway (VP) segmentation. However, obtaining labeled data for training is laborious a…