Area of research
Computer Vision and Pattern Recognition · Computer Graphics and Computer-Aided Design
Research interest
Research interests include Computer Graphics and Visualization Techniques, Medical Image Segmentation Techniques, Medical Imaging Techniques and Applications, and 3D Shape Modeling and Analysis.
An adaptive AI-based virtual reality sports system for adolescents with excess body weight: a randomized controlled trial
EGDNet: an efficient glomerular detection network for multiple anomalous pathological feature in glomerulonephritis
Importance-aware 3D volume visualization for medical content-based image retrieval-a preliminary study
A Transfer Function Design for Medical Volume Data Using a Knowledge Database Based on Deep Image and Primitive Intensity Profile Features Retrieval
A systematic review: Virtual-reality-based techniques for human exercises and health improvement
SThy-Net: a feature fusion-enhanced dense-branched modules network for small thyroid nodule classification from ultrasound images
Deep choroid layer segmentation using hybrid features extraction from OCT images
SparseVoxNet: 3-D Object Recognition With Sparsely Aggregation of 3-D Dense Blocks
OFF-eNET: An Optimally Fused Fully End-to-End Network for Automatic Dense Volumetric 3D Intracranial Blood Vessels Segmentation
Optic Disk and Cup Segmentation Through Fuzzy Broad Learning System for Glaucoma Screening
Virtual and augmented reality in medicine