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LISA - Image Analysis (LISA-IA)

École polytechnique de Bruxelles | D2: Technologie de l'information et systèmes intelligents

Centres de Recherche Transdisciplinaire | Liste des Centres

École polytechnique de Bruxelles | X1: Santé

(Code: ULB804)


Responsable de l'unité : DEBEIR Olivier.

LISA (Laboratory of Image Synthesis and Analysis) brings together expertise in image processing and analysis, pattern recognition, image synthesis and
virtual reality. Its LISA-IA unit focuses on the fields of image analysis and pattern recognition and develops new methods for 2D and 3D object segmentation,
recognition or tracking, multi-modal image registration, as well as statistical learning methods applied to image and data analysis. Developed algorithms
are related to biomedical and industrial applications.
Most of aforementioned 2D/3D signal processing algorithms require heavy number crunching on large data sets and must hence rely on efficient multi-core
parallelization to ensure low-latency, real-time processing. Best performances are achieved when thoroughly trading off the intricate relationship between
the application requirements, the algorithmic structure and the architecture’s multilevel memory hierarchy. In particular, the recent Deep Learning
developments for signal and image processing gain in efficacy thanks to the massively parallel computing power available on modern GPU card; this research topic
is investigated in current Phd theses in the unit.
Following a problem-centered approach, the unit tackles all hardware and software aspects of the chain in multidisciplinary teams (MDs, biologists,
engineers, computer scientists, mathematicians, as well as art historians and archaeologists) over multi-institutional collaborations to deliver functional
applications. The research is funded both by institutional/public funds and industry collaborations. LISA's achievements include one patent, several highly
cited biomedical papers, implementation of acquisition and thermoregulation devices for live cell imaging, multi-media event organization and international
cultural heritage projects.

Campus : Campus du Solbosch
Localisation : S.L.3.120
Adresse : CP165/57 - Avenue F.D. Roosevelt, 50 - 1050 Bruxelles
Téléphone : +32-2-650.22.91
Fax : +32-2-650.22.98
Email : agrave@ulb.ac.be
Site Web : http://lisa.ulb.ac.be

Domaines Frascati :


 • 1.2 Informatique et science de l’information

 • 2.11 Autres domaines techniques et technologiques

 • 2.6 Ingénierie médicale


Disciplines CRef :


 • Biométrie

 • Enseignement des sciences de l'ingénieur

 • Géodésie appliquée topographie [télédétection]

 • Imagerie médicale, radiologie, tomographie

 • Informatique appliquée logiciel

 • Ingénierie biomédicale

 • Instrumentation médicale

 • Instrumentation scientifique

 • Intelligence artificielle

 • Logiciel d'application

 • Photogrammétrie - cartographie

 • Sciences de l'ingénieur

 • Statistique appliquée

 • Techniques d'imagerie et traitement d'images

 • Télédétection

 • Unités digitales de traitement


Domaines de l'unité :


 • Informatique et technologies de l'information et de la communication

 • Mathématiques et statistique


Spin-off associée à l'unité :


 • Ovizio