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ICML
2004
IEEE
15 years 10 months ago
Dynamic conditional random fields: factorized probabilistic models for labeling and segmenting sequence data
In sequence modeling, we often wish to represent complex interaction between labels, such as when performing multiple, cascaded labeling tasks on the same sequence, or when longra...
Charles A. Sutton, Khashayar Rohanimanesh, Andrew ...
MICCAI
2009
Springer
15 years 2 months ago
Bayesian Maximal Paths for Coronary Artery Segmentation from 3D CT Angiograms
We propose a recursive Bayesian model for the delineation of coronary arteries from 3D CT angiograms (cardiac CTA) and discuss the use of discrete minimal path techniques as an eï¬...
David Lesage, Elsa D. Angelini, Isabelle Bloch, Ga...
CVRMED
1997
Springer
15 years 1 months ago
Medical image segmentation using topologically adaptable surfaces
E cient and powerful topologically adaptable deformable surfaces can be created by embedding and de ning discrete deformable surface models in terms of an A ne Cell Decomposition (...
Tim McInerney, Demetri Terzopoulos
AVSS
2008
IEEE
14 years 11 months ago
Evaluation of Background Subtraction Algorithms with Post-Processing
Processing a video stream to segment foreground objects from the background is a critical first step in many computer vision applications. Background subtraction (BGS) is a common...
Donovan H. Parks, Sidney Fels
DAGSTUHL
2010
14 years 11 months ago
Model-Based Visualization for Intervention Planning
Computer support for intervention planning is a two-stage process: In a first stage, the relevant segmentation target structures are identified and delineated. In a second stage, ...
Bernhard Preim