37 citations · 43 across the 3 of their papers we have counts for
3 papers
cs.GR2020★ 2 cited
VC-Net: Deep Volume-Composition Networks for Segmentation and Visualization of Highly Sparse and Noisy Image Data
Yifan Wang, Guoli Yan, Haikuan Zhu +5
The motivation of our work is to present a new visualization-guided computing paradigm to combine direct 3D volume processing and volume rendered clues for effective 3D exploration…
cs.GR2019★ 4 cited
DeepOrganNet: On-the-Fly Reconstruction and Visualization of 3D / 4D Lung Models from Single-View Projections by Deep Deformation Network
Yifan Wang, Zichun Zhong, Jing Hua
This paper introduces a deep neural network based method, i.e., DeepOrganNet, to generate and visualize high-fidelity 3D / 4D organ geometric models from single-view medical image…
cs.CV2019★ 37 cited
A-CNN: Annularly Convolutional Neural Networks on Point Clouds
Artem Komarichev, Zichun Zhong, Jing Hua
Analyzing the geometric and semantic properties of 3D point clouds through the deep networks is still challenging due to the irregularity and sparsity of samplings of their geometr…