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» Geodesic Deformable Models for Medical Image Analysis
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153
Voted
CVPR
2005
IEEE
16 years 6 months ago
A Statistical Field Model for Pedestrian Detection
This paper presents a new statistical model for detecting and tracking deformable objects such as pedestrians, where large shape variations induced by local shape deformation can ...
Ying Wu, Ting Yu, Gang Hua
175
Voted
IPMI
1999
Springer
16 years 4 months ago
Recovery of Soft Tissue Object Deformation from 3D Image Sequences Using Biomechanical Models
The estimation of soft tissue deformation from 3D image sequences is an important problem in a number of fields such as diagnosis of heart disease and image guided surgery. In thi...
Xenophon Papademetris, Pengcheng Shi, Donald P. Di...
CVPR
2009
IEEE
16 years 11 months ago
Active Volume Models for 3D Medical Image Segmentation
In this paper, we propose a novel predictive model for object boundary, which can integrate information from any sources. The model is a dynamic “object” model whose manifes...
Tian Shen (Lehigh University), Hongsheng Li (Lehig...
ISBI
2004
IEEE
16 years 4 months ago
Clustering On Image Boundary Regions for Deformable Model Segmentation
We present a novel approach, clustering on local image profiles, for statistically characterizing image intensity in object boundary regions. In deformable model segmentation, a d...
Joshua Stough, Stephen M. Pizer, Edward L. Chaney,...
140
Voted
IPMI
2005
Springer
15 years 9 months ago
Diffeomorphic Nonlinear Transformations: A Local Parametric Approach for Image Registration
Many types of transformations are used to model deformations in medical image registration. While some focus on modeling local changes, some on continuity and invertibility, there ...
Ramkrishnan Narayanan, Jeffrey A. Fessler, Hyunjin...