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91
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NIPS
2004
15 years 1 months ago
Joint MRI Bias Removal Using Entropy Minimization Across Images
The correction of bias in magnetic resonance images is an important problem in medical image processing. Most previous approaches have used a maximum likelihood method to increase...
Erik G. Learned-Miller, Parvez Ahammad
118
Voted
ISBI
2007
IEEE
15 years 6 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
81
Voted
ICIP
2010
IEEE
14 years 10 months ago
Scanner identification using spectral noise in the frequency domain
As digital images have been propagated all over the world, identification techniques for image sources become more important. In this paper, we analyze properties of the scanner a...
Chang-Hee Choi, Min-Jeong Lee, Heung-Kyu Lee
CVPR
2008
IEEE
16 years 2 months ago
Parameterized Kernel Principal Component Analysis: Theory and applications to supervised and unsupervised image alignment
Parameterized Appearance Models (PAMs) (e.g. eigentracking, active appearance models, morphable models) use Principal Component Analysis (PCA) to model the shape and appearance of...
Fernando De la Torre, Minh Hoai Nguyen
ECCV
2008
Springer
16 years 2 months ago
Brain Hallucination
Abstract. In this paper, we investigate brain hallucination, or generating a high resolution brain image from an input low-resolution image, with the help of another high resolutio...
François Rousseau