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» Modeling non-gaussian noise for robust image analysis
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ISBI
2007
IEEE
14 years 2 months ago
Shape Analysis Using Curvature-Based Descriptors and Profile Hidden Markov Models
This paper presents a new framework for shape modeling and analysis. A shape instance is described by a curvature-based shape descriptor. A Profile Hidden Markov Model (PHMM) is ...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
TMI
2008
101views more  TMI 2008»
13 years 7 months ago
Robust Linearized Image Reconstruction for Multifrequency EIT of the Breast
Abstract--Electrical impedance tomography (EIT) is a developing imaging modality that is beginning to show promise for detecting and characterizing tumors in the breast. At Renssel...
Gregory Boverman, Tzu-Jen Kao, Rujuta Kulkarni, Bo...
ESANN
2006
13 years 9 months ago
Bayesian source separation: beyond PCA and ICA
Blind source separation (BSS) has become one of the major signal and image processing area in many applications. Principal component analysis (PCA) and Independent component analys...
Ali Mohammad-Djafari
MICCAI
2001
Springer
14 years 3 days ago
Deformable Organisms for Automatic Medical Image Analysis
We introduce a new paradigm for automatic medical image analysis that adopts concepts from the field of Artificial Life. Our approach prescribes deformable organisms, autonomous ag...
Ghassan Hamarneh, Tim McInerney, Demetri Terzopoul...
IJCV
2006
102views more  IJCV 2006»
13 years 7 months ago
A Novel Representation and Feature Matching Algorithm for Automatic Pairwise Registration of Range Images
Automatic registration of range images is a fundamental problem in 3D modeling of free-from objects. Various feature matching algorithms have been proposed for this purpose. Howeve...
Ajmal S. Mian, Mohammed Bennamoun, Robyn A. Owens