-
Chapter and Conference Paper
TFCNs: A CNN-Transformer Hybrid Network for Medical Image Segmentation
Medical image segmentation is one of the most fundamental tasks concerning medical information analysis. Various solutions have been proposed so far, including many deep learning-based techniques, such as U-Ne...
-
Article
Local keypoint-based Faster R-CNN
Region-based Convolutional Neural Network (R-CNN) detectors have achieved state-of-the-art results on various challenging benchmarks. Although R-CNN has achieved high detection performance, the research of loc...
-
Article
Open AccessTowards additive manufacturing oriented geometric modeling using implicit functions
Surface-based geometric modeling has many advantages in terms of visualization and traditional subtractive manufacturing using computer-numerical-control cutting-machine tools. However, it is not an ideal solu...
-
Article
High temperature and pressurized steaming/silane coupling co-modification for wood fibers and its effect on the properties of wood fiber/HDPE composites
Poplar fibers were pretreated under high temperature and pressurized steam at different temperatures and pressures; they were further modified using different amounts of silane coupling agent. The obtained mod...
-
Article
An implicit skeleton-based method for the geometry reconstruction of vasculatures
Due to the high complexity of vascular system network, the geometry reconstruction of vasculatures from raw medical datasets remains a very challenging task. In this paper, we present a novel skeleton-based me...
-
Article
Open Access3D vasculature segmentation using localized hybrid level-set method
Intensity inhomogeneity occurs in many medical images, especially in vessel images. Overcoming the difficulty due to image inhomogeneity is crucial for the segmentation of vessel image.
-
Chapter and Conference Paper
Virtual Angioscopy Based on Implicit Vasculatures
Virtual endoscopy is among the most active areas in medical data visualization, which focuses on the simulated visualizations of specific hollow organs for the purposes of training and diagnosis. In this paper...
-
Chapter and Conference Paper
Fuzzy Geometric Object Modelling
Fuzzy geometric object modelling has been one of the fundamental tasks in computer graphics. In this paper, we investigated and developed techniques for modelling fuzzy objects based on fuzzy set theory. With ...
-
Chapter and Conference Paper
A Phantom Based Approach to Fluoroscopic Navigation for Orthopaedic Surgery
The use of the C-arm fluoroscope for surgical navigation in various Computer Assisted Orthopaedic Surgery Systems (CAOS) has been an important success of research into CAOS technology. To use the fluoroscope f...
