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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 charge of the unit : 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-IA 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 :
Web site :

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

Domains of the unit :

 • Computer Science and Information and Communication Technologies (ICT)

 • Mathematics and Statistics

Spin-off related of the unit :

 • Ovizio