Many students are reluctant to the idea of an internship. A lot of them have the wrong idea of what working as an intern is like. First of all, get rid of the stereotype of the student whose tasks ...
Université Libre de Bruxelles
Multimodal medical image registration
LISA - Image is involved in research and development in two main topics of applied sciences : image analysis and computer graphics.
In the field of image analysis and pattern recognition, LISA - Image develops new methods for object segmentation in digital images, based on classification and decision theory, as well as for tracking mobile objects in image sequences. Developed algorithms and applications cover 2D and 3D problems and are most of the time related to medical problems such as: automatic in vitro 2D & 3D cell tracking for characterization of cell migration and proliferation, characterization of pigmented skin lesions, tissue-based biomarkers, pulmonary emphysema and articulation cartilage. We are currently offering a number of intership and master thesis projects.
Autoradiography and histological staining are the reference techniques for functional neuroimaging in small-animal research. Quantitative autoradiographic studies are classically analyzed through manual segmentation of ROIs on a limited number of 2D sections. A major drawback of these techniques is that the data yielded by such tissue sections, which we refer to here as “post mortem data” is limited to two dimensions. The 3D spatial coherence of the structure is generally lost, and analysis is restricted to a limited number of sections. Post mortem data are traditionally analyzed by manually outlining regions of interest (ROI), guided by a 2D atlas. In addition to the need for expertise, this task is labor-intensive, time-consuming.
To overcome these limitations, we want to use numerous serial sections to obtain a spatially coherent 3D reconstruction of the brain that could be easily and automatically analyzed. The automated analysis of brain structures will be obtained by automated registering the autoradiographic and histological data to a 3D mice brain atlas.
The applicant should satisfy the following requirements: choice of image processing subjects, experience in programing languages (preferably MATLAB or ImageJ or Python).
- Experience and interest in computer vision (image processing & machine learning)
- Programing skills: preferably experience or eagerness to learn Matlab or C++ or Python or ImageJ.
- Good knowledge of English
We offer an oportunity to work and learn in a stimulating enviroment in one of the best Belgian universities in a highly popular field of computer vision. Additionally, a multidisciplinary topic of the internship is motivativating, interesting, and offers a good experiance for vast oportunities in the job market for both academia and industry. You will be guided and helped by experienced universtiy researchers, and you will have oportunity to work with highest quality images made using the lastest technology medical scanners.
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=job.status_textUniversité libre de Bruxelles Internship1050 IxellesThis job has multiple locationsStudy level: All study levels Regime: Full Time
- English: good