5 papers
BrainSegNet: A Novel Framework for Whole-Brain MRI Parcellation Enhanced by Large Models
Yucheng Li, Xiaofan Wang, Junyi Wang +6
Whole-brain parcellation from MRI is a critical yet challenging task due to the complexity of subdividing the brain into numerous small, irregular shaped regions. Traditionally, te…
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…
Coarse-to-Fine Joint Registration of MR and Ultrasound Images via Imaging Style Transfer
Junyi Wang, Xi Zhu, Yikun Guo +4
We developed a pipeline for registering pre-surgery Magnetic Resonance (MR) images and post-resection Ultrasound (US) images. Our approach leverages unpaired style transfer using 3…
A Novel Streamline-based diffusion MRI Tractography Registration Method with Probabilistic Keypoint Detection
Junyi Wang, Mubai Du, Ye Wu +4
Registration of diffusion MRI tractography is an essential step for analyzing group similarities and variations in the brain's white matter (WM). Streamline-based registration appr…
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…