activity
20152021
most citedDeformable Registration Using Average Geometric Transformations for Brain MR Images

3 citations · 6 across the 4 of their papers we have counts for

collaborators

7 papers

math.NA20211 cited

Construction of Diffeomorphisms with Prescribed Jacobian Determinant and Curl

Zicong Zhou, Guojun Liao

The variational principle (VP) is designed to generate non-folding grids (diffeomorphisms) with prescribed Jacobian determinant (JD) and curl. Its solution pool of the original VP…

cs.CV20193 cited

Deformable Registration Using Average Geometric Transformations for Brain MR Images

Yongpei Zhu, Zicong Zhou, Guojun Liao +1

Accurate registration of medical images is vital for doctor's diagnosis and quantitative analysis. In this paper, we propose a new deformable medical image registration method base…

cs.CG2018

Multi-Block Grid deformation Method in 3D

Guojun G Liao, Jie Liu

Multi-block grids provide the computational efficiency of structured grids and the flexibility for complex geometry. Thus, Multi-block structured grids are widely used for field si…

cs.CV2018

The Method of Multimodal MRI Brain Image Segmentation Based on Differential Geometric Features

Yongpei Zhu, Zicong Zhou, Guojun Liao +2

Accurate segmentation of brain tissue in magnetic resonance images (MRI) is a diffcult task due to different types of brain abnormalities. Using information and features from multi…

cs.CG2018

Computational Technologies for Brain Morphometry

Zicong Zhou, Ben Hildebrandt, Xi Chen +1

In this paper, we described a set of computational technologies for image analysis with applications in Brain Morphometry. The proposed technologies are based on a new Variational…

cs.CG20172 cited

A Novel Deformation Method for Higher Order Mesh Generation

Zicong Zhou, Xi Chen, Guojun Liao

The development of higher order finite elements methods has become an active research area. The deformation method for mesh generation has achieved a prescribed positive Jacobian d…