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LISA - Image Analysis (LISA-IA)

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

École polytechnique de Bruxelles | Impact sociétal : Inclusive society

École polytechnique de Bruxelles | Impact sociétal : Santé

(Code: ULB804)


Responsables de l'unité : DEBEIR Olivier, DECAESTECKER Christine.

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 machine and deep learning methods for signal and image processing. In the latter
context, research is being carried out on the ability to deal with imperfect (weak or noisy) annotations and on methods of evaluating algorithms in such
situations where the ground truth is not available. 
Developed algorithms are related to biomedical and industrial applications. 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.be
Site Web : https://lisa.polytech.ulb.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


Spin-off associée à l'unité :


 • Ovizio