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LISA - Image Analysis (LISA-IA)

Faculty of Applied Sciences | Discipline: Information technology, intelligent systems

Faculty of Applied Sciences | Societal impact: Inclusive society

Faculty of Applied Sciences | Societal impact: Health

(Code: ULB804)


Person in charges of the unit : 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
Location : S.L.3.120
Address : CP165/57 - Avenue F.D. Roosevelt, 50 - 1050 Bruxelles
Phone number : +32-2-650.22.91
Fax : +32-2-650.22.98
E-mail : agrave@ulb.ac.be
Web site : http://lisa.ulb.ac.be

Frascati domains:


 • 1.2 Computer and information sciences

 • 2.11 Other engineering and technologies

 • 2.6 Medical engineering


Disciplines CRef :


 • Application software

 • Applied computer science - softwares

 • Applied geodesy topography (remote sensing)

 • Artificial intelligence

 • Biomedical engineering

 • Biometrics

 • Digital data treatment

 • Engineering sciences

 • Imaging and image processing

 • Medical imaging, radiology, tomography

 • Medical instrumentation

 • Photogrammetry - mapping

 • Remote sensing

 • Scientific instrumentation

 • Statistical analysis and applied statistics

 • Teaching engineering sciences



Spin-off related of the unit :


 • Ovizio