A5024971334- Medical Image Segmentation Techniques
- Digital Image Processing Techniques
- Image Retrieval and Classification Techniques
- Rough Sets and Fuzzy Logic
- Topological and Geometric Data Analysis
- Retinal Imaging and Analysis
- Cerebrovascular and Carotid Artery Diseases
- Advanced Numerical Analysis Techniques
- Finite Group Theory Research
- Fuzzy and Soft Set Theory
- Advanced Algebra and Logic
- Mathematical Dynamics and Fractals
- graph theory and CDMA systems
- Image and Object Detection Techniques
- Interconnection Networks and Systems
- Computational Geometry and Mesh Generation
- Advanced Topology and Set Theory
- Optics and Image Analysis
- Image and Signal Denoising Methods
- Advanced Vision and Imaging
- Advanced Image and Video Retrieval Techniques
- Constraint Satisfaction and Optimization
- Advanced Algebra and Geometry
- Medical Imaging Techniques and Applications
- Advanced Topics in Algebra
Laboratoire des Sciences de l'Ingénieur, de l'Informatique et de l'Imagerie
2006-2024
Université de Strasbourg
2007-2023
Centre National de la Recherche Scientifique
2006-2023
Laboratoire d'Innovation Thérapeutique
2008
Département d'Informatique
1994-2001
Laboratoire Bordelais de Recherche en Informatique
1992
Université de Bordeaux
1992
Philips (Belgium)
1983-1991
Université Libre de Bruxelles
1991
Philips (Finland)
1983-1990
To propose an atlas-based method that uses both phase and magnitude images to integrate anatomical information in order improve the segmentation of blood vessels cerebral phase-contrast magnetic resonance angiography (PC-MRA).An atlas whole head was developed store information. The divides a image into several vascular areas, each which has specific vessel properties. It can be applied any entire or nearly by deformable matching, helps segment from associated image. used afterwards consists...
A bibliography of 370 references books, papers in serial journals, and conference papers, on convexity relation to computer science is presented. The subject divided into five topics: (1) straightness digital images; (2) convex hull algorithms their complexity; (3) other computational problems related convexity; (4) miscellaneous applications; (5) general mathematical sources. These range time from 1961 September 1988.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML"...
In this paper we propose a fully automatic algorithm for coronary artery extraction from X-ray data (3D-CT scan, 64 detectors) based on the mathematical morphology techniques and guided by anatomical knowledge. Growing thresholding methods, in their most general form, are not sufficient to extract only whole arteries, because of properties these images. Finding appropriate methods is known be challenging problem imperfections such as noise, heterogeneous intensity contrasts similar tissues....