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» Improved Snake Model for Fast Image Segmentation
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ECCV
2000
Springer
15 years 4 months ago
Minimal Paths in 3D Images and Application to Virtual Endoscopy
This paper presents a new method to find minimal paths in 3D images, giving as initial data one or two endpoints. This is based on previous work [1] for extracting paths in 2D ima...
Thomas Deschamps, Laurent D. Cohen
111
Voted
MICCAI
2010
Springer
14 years 11 months ago
Incorporating Priors on Expert Performance Parameters for Segmentation Validation and Label Fusion: A Maximum a Posteriori STAPL
Abstract. In order to evaluate the quality of segmentations of an image and assess intra- and inter-expert variability in segmentation performance, an Expectation Maximization (EM)...
Olivier Commowick, Simon K. Warfield
174
Voted
TITB
2002
172views more  TITB 2002»
15 years 4 days ago
Shape recovery algorithms using level sets in 2-D/3-D medical imagery: a state-of-the-art review
The class of geometric deformable models, also known as level sets, has brought tremendous impact to medical imagery due to its capability of topology preservation and fast shape r...
Jasjit S. Suri, Kecheng Liu, Sameer Singh, Swamy L...
130
Voted
PAMI
2007
241views more  PAMI 2007»
15 years 10 hour ago
Extreme Compression and Modeling of Bidirectional Texture Function
The recent advanced representation for realistic real-world materials in virtual reality applications is the Bidirectional Texture Function (BTF) which describes rough texture app...
Michal Haindl, Jirí Filip
MICCAI
2009
Springer
15 years 7 months ago
Conditional Variability of Statistical Shape Models Based on Surrogate Variables
We propose to increment a statistical shape model with surrogate variables such as anatomical measurements and patient-related information, allowing conditioning the shape distribu...
Rémi Blanc, Mauricio Reyes, Christof Seiler...