Search Results for author:
Found 9 papers, 0 papers with code
Automatic Landmark Detection and Registration of Brain Cortical Surfaces via Quasi-Conformal Geometry and Convolutional Neural Networks
In this work, we propose a novel framework for the automatic landmark detection and registration of brain cortical surfaces using quasi-conformal geometry and convolutional neural networks.
Adaptive area-preserving parameterization of open and closed anatomical surfaces
In this work, we propose adaptive area-preserving parameterization methods for simply-connected open and closed surfaces with the target of the parameterization being a spherical cap.
A unifying framework for $n$-dimensional quasi-conformal mappings
With the advancement of computer technology, there is a surge of interest in effective mapping methods for objects in higher-dimensional spaces.
Quasiconformal model with CNN features for large deformation image registration
In this paper, we develop a novel method for large deformation image registration by a fusion of quasiconformal theory and convolutional neural network (CNN).
Shape analysis via inconsistent surface registration
In this work, we develop a framework for shape analysis using inconsistent surface mapping.
3DPeople: Modeling the Geometry of Dressed Humans
Finally, we design a multi-resolution deep generative network that, given an input image of a dressed human, predicts his/her geometry image (and thus the clothed body shape) in an end-to-end manner.
Tooth morphometry using quasi-conformal theory
We deploy our framework on a dataset of human premolars to analyze the tooth shape variation among genders and ancestries.
Area-preserving mapping of 3D ultrasound carotid artery images using density-equalizing reference map
In this work, we propose a novel method called density-equalizing reference map (DERM) for mapping 3D carotid surfaces to a standardized 2D carotid template, with an emphasis on preserving the local geometry of the carotid surface by minimizing the local area distortion.
Efficient Feature-based Image Registration by Mapping Sparsified Surfaces
For each high resolution image or video frame, we compute an optimal coarse triangulation which captures the important features of the image.
