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» Robust Unsupervised Tissue Classification in MR Images
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ICIP
2004
IEEE
14 years 11 months ago
New features for affine-invariant shape classification
An object seen from different viewpoints results in differently deformed images. Affine-invariant shape classification must classify correctly the object, disregarding its viewpoi...
Carlos Ramon Pantaleon Dionisio, Hae Yong Kim
MICCAI
2003
Springer
14 years 10 months ago
A Multiscale Feature Detector for Morphological Analysis of the Brain
Feature detection on MR images has largely relied on intensity classification and gradient-based magnitudes. In this paper, we propose the use of phase congruency as a more robust ...
Marius George Linguraru, Miguel Ángel Gonz&...
IPMI
1999
Springer
14 years 10 months ago
ANIMAL+INSECT: Improved Cortical Structure Segmentation
An algorithm for improved automatic segmentation of gross anatomical structures of the human brain is presented that merges the output of a tissue classification process with gross...
D. Louis Collins, Alex P. Zijdenbos, Wim F. C. Baa...
ICIAR
2010
Springer
14 years 1 months ago
Segmentation Based Noise Variance Estimation from Background MRI Data
Accurate and precise estimation of the noise variance is often of key importance as an input parameter for posterior image processing tasks. In MR images, background data is well s...
Jeny Rajan, Dirk Poot, Jaber Juntu, Jan Sijbers
ICIP
2008
IEEE
14 years 4 months ago
Shape analysis of brain ventricles for improved classification of Alzheimer's patients
One of the hallmarks of Alzheimer’s disease (AD) is the loss of neurons in the brain. In many cases, the medical experts use MR (magnetic resonance) images to qualitatively meas...
Jingnan Wang, Ahmet Ekin, Gerard de Haan