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CVPR
2008
IEEE
14 years 9 months ago
Recognition by association via learning per-exemplar distances
We pose the recognition problem as data association. In this setting, a novel object is explained solely in terms of a small set of exemplar objects to which it is visually simila...
Tomasz Malisiewicz, Alexei A. Efros
CVPR
2011
IEEE
12 years 11 months ago
Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images
3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff
DAGM
2010
Springer
13 years 8 months ago
Image Segmentation with a Statistical Appearance Model and a Generic Mumford-Shah Inspired Outside Model
Abstract. We present a novel statistical-model-based segmentation algorithm that addresses a recurrent problem in appearance model fitting and model-based segmentation: the "s...
Thomas Albrecht, Thomas Vetter
ISBI
2006
IEEE
14 years 1 months ago
Using cine MR images to evaluate myocardial infarct transmurality on delayed enhancement images
Evaluating myocardial viability is an important prognostic factor in the follow-up of infarctions. Delayed Enhancement (DE) perfusion images in MRI have been shown to be very valu...
Racha El-Berbari, Nadjia Kachenoura, Alban Redheui...
ICCV
2001
IEEE
14 years 9 months ago
Segmentation of the Left Ventricle in Cardiac MR Images
This paper describes a segmentation technique to automatically extract the myocardium in 4 0 cardiac M R images for quantitative cardiac analysis and the diagnosis of patients. Th...
Marie-Pierre Jolly, Nicolae Duta, Gareth Funka-Lea