A conformal flattening maps a curved surface to the plane without distorting angles—such
maps have become a fundamental building block for problems in geometry processing …

Surface reconstruction methods allow advanced analysis of structural and functional brain
data beyond what can be achieved using volumetric images alone. Automated generation of …

Surface based 3D shape analysis plays a fundamental role in computer vision and medical
imaging. This work proposes to use optimal mass transport map for shape matching and …

In many areas of medicine, visualization research can help with task simplification,
abstraction or complexity reduction. A common visualization approach is to facilitate …

We present a new approach to obtain diffeomorphic registrations with large deformations
using landmark and intensity information via quasi-conformal maps. The basic idea is to …

Here we developed a new method, called multivariate tensor-based surface morphometry
(TBM), and applied it to study lateral ventricular surface differences associated with …

Registration, which aims to find an optimal 1-1 correspondence between shapes, is an
important process in different research areas. Landmark-based surface registration has …

In brain map** research, parameterized 3-D surface models are of great interest for
statistical comparisons of anatomy, surface-based registration, and signal processing. Here …

Surface parameterizations and registrations are important in computer graphics and
imaging, where 1-1 correspondences between meshes are computed. In practice, surface …

Making an artificial brain is not a part of artificial intelligence. It will be a revolutionary
journey of mankind exploring a science where one cannot write an equation, a material will …