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SCALESPACE
2009
Springer
13 years 11 months ago
Pre-image as Karcher Mean Using Diffusion Maps: Application to Shape and Image Denoising
In the context of shape and image modeling by manifold learning, we focus on the problem of denoising. A set of shapes or images being known through given samples, we capture its s...
Nicolas Thorstensen, Florent Ségonne, Renau...
ISBI
2008
IEEE
14 years 6 months ago
Comparison of fractional and geodesic anisotropy in diffusion tensor images of 90 monozygotic and dizygotic twins
We used diffusion tensor magnetic resonance imaging (DTI) to reveal the extent of genetic effects on brain fiber microstructure, based on tensor-derived measures, in 22 pairs of m...
Agatha D. Lee, Natasha Lepore, Marina Barysheva, Y...
VIS
2008
IEEE
162views Visualization» more  VIS 2008»
14 years 6 months ago
Geodesic Distance-weighted Shape Vector Image Diffusion
Abstract--This paper presents a novel and efficient surface matching and visualization framework through the geodesic distanceweighted shape vector image diffusion. Based on confor...
Jing Hua, Zhaoqiang Lai, Ming Dong, Xianfeng Gu...
IPMI
2007
Springer
14 years 6 months ago
A Fuzzy, Nonparametric Segmentation Framework for DTI and MRI Analysis
This paper presents a novel statistical fuzzy-segmentation method for diffusion tensor (DT) images and magnetic resonance (MR) images. Typical fuzzy-segmentation schemes, e.g. thos...
Suyash P. Awate, James C. Gee
CVPR
2008
IEEE
14 years 7 months ago
Robust statistics on Riemannian manifolds via the geometric median
The geometric median is a classic robust estimator of centrality for data in Euclidean spaces. In this paper we formulate the geometric median of data on a Riemannian manifold as ...
P. Thomas Fletcher, Suresh Venkatasubramanian, Sar...