4 papers
Instantiation-Net: 3D Mesh Reconstruction from Single 2D Image for Right Ventricle
Zhao-Yang Wang, Xiao-Yun Zhou, Peichao Li +2
3D shape instantiation which reconstructs the 3D shape of a target from limited 2D images or projections is an emerging technique for surgical intervention. It improves the current…
Z-Net: an Anisotropic 3D DCNN for Medical CT Volume Segmentation
Peichao Li, Xiao-Yun Zhou, Zhao-Yang Wang +1
Accurate volume segmentation from the Computed Tomography (CT) scan is a common prerequisite for pre-operative planning, intra-operative guidance and quantitative assessment of the…
U-Net Training with Instance-Layer Normalization
Xiao-Yun Zhou, Peichao Li, Zhao-Yang Wang +1
Normalization layers are essential in a Deep Convolutional Neural Network (DCNN). Various normalization methods have been proposed. The statistics used to normalize the feature map…
One-stage Shape Instantiation from a Single 2D Image to 3D Point Cloud
Xiao-Yun Zhou, Zhao-Yang Wang, Peichao Li +2
Shape instantiation which predicts the 3D shape of a dynamic target from one or more 2D images is important for real-time intra-operative navigation. Previously, a general shape in…