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IPMI
2009
Springer
14 years 8 months ago
Estimating Uncertainty in Brain Region Delineations
This paper presents a method for estimating uncertainty in MRI-based brain region delineations provided by fully-automated segmentation methods. In large data sets, the uncertainty...
Karl R. Beutner, Gautam Prasad, Evan Fletcher, Cha...
ICBA
2004
Springer
271views Biometrics» more  ICBA 2004»
14 years 24 days ago
Enhance the Alignment Accuracy of Active Shape Models Using Elastic Graph Matching
Active Shape Model (ASM) is one of the most popular methods for image alignment. To improve its matching accuracy, in this paper, ASM searching method is combined with a simplifie...
Sanqiang Zhao, Wen Gao, Shiguang Shan, Baocai Yin
ICIP
2005
IEEE
14 years 9 months ago
Threshold dynamics for shape reconstruction and disocclusion
We propose a very efficient numerical algorithm for minimizing certain curvature dependent functionals that appear in a variety of well known variational models of image processin...
Selim Esedoglu, Steven J. Ruuth, Richard Tsai
CVPR
2007
IEEE
14 years 9 months ago
3D Probabilistic Feature Point Model for Object Detection and Recognition
This paper presents a novel statistical shape model that can be used to detect and localise feature points of a class of objects in images. The shape model is inspired from the 3D...
Sami Romdhani, Thomas Vetter
TMI
2002
248views more  TMI 2002»
13 years 7 months ago
Adaptive Elastic Segmentation of Brain MRI via Shape Model Guided Evolutionary Programming
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Alain Pitiot, Arthur W. Toga, Paul M. Thompson