Cntseg: A multimodal deep-learning-based network for cranial nerves tract segmentation

L Xie, J Huang, J Yu, Q Zeng, Q Hu, Z Chen, G Xie… - Medical Image …, 2023 - Elsevier
The segmentation of cranial nerves (CNs) tracts based on diffusion magnetic resonance
imaging (dMRI) provides a valuable quantitative tool for the analysis of the morphology and …

[HTML][HTML] Global research of artificial intelligence in strabismus: a bibliometric analysis

Z Zhou, X Zhang, X Tang, A Grzybowski, J Ye… - Frontiers in …, 2023 - frontiersin.org
Purpose To analyze the global publications on artificial intelligence (AI) in strabismus using
a bibliometric approach. Methods The Web of Science Core Collection (WoSCC) database …

[PDF][PDF] Interactive visual exploration of region-based sensitivities in fiber tracking

F Siddiqui, T Höllt, A Vilanova - EG VCBM 2023 Workshop, 2023 - research.tudelft.nl
Fiber tracking is a powerful technique that provides valuable insights into the complex white
matter structure of the human brain. However, the processing pipeline involves many …

Anatomy-guided fiber trajectory distribution estimation for cranial nerves tractography

L Xie, Q Zeng, H Zhou, G Xie, M Li, J Huang… - arXiv preprint arXiv …, 2024 - arxiv.org
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 leads to …