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» Geodesic Deformable Models for Medical Image Analysis
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IPMI
2005
Springer
16 years 5 months ago
Hypothesis Testing with Nonlinear Shape Models
We present a method for two-sample hypothesis testing for statistical shape analysis using nonlinear shape models. Our approach uses a true multivariate permutation test that is in...
Timothy B. Terriberry, Sarang C. Joshi, Guido Geri...
CVPR
2008
IEEE
15 years 10 months ago
A theoretical analysis of linear and multi-linear models of image appearance
Linear and multi-linear models of object shape/appearance (PCA, 3DMM, AAM/ASM, multilinear tensors) have been very popular in computer vision. In this paper, we analyze the validi...
Yilei Xu, Amit K. Roy Chowdhury
MICCAI
2005
Springer
16 years 5 months ago
Hybrid Segmentation Framework for Tissue Images Containing Gene Expression Data
Associating speci c gene activity with speci c functional locations in the brain anatomy results in a greater understanding of the role of the gene's products. To perform such...
Musodiq Bello, Tao Ju, Joe D. Warren, James Carson...
MICCAI
2009
Springer
16 years 5 months ago
Asymmetric Image-Template Registration
A natural requirement in pairwise image registration is that the resulting deformation is independent of the order of the images. This constraint is typically achieved via a symmet...
Mert R. Sabuncu, B. T. Thomas Yeo, Koen Van Leem...
CVPR
2008
IEEE
16 years 6 months ago
Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
Fernando De la Torre, Minh Hoai Nguyen