Curriculum vitae - Projects & Research Interests - Publications - Software - Conference Calendar - Students - Misc
Since October 2010, I am the initiator and scientific coordinator of the CYTOMINE project which lead to the development of the CYTOMINE software platform, a "Google Maps"-like rich internet application for remote visualization, annotation and automated analysis of high-resolution (>Gigabyte) images.
This research is about the design of generic methods for automatic image classification, retrieval, and semantic segmentation.
Indeed, as potential applications of image recognition technologies are multidinous, we seek to develop general-purpose methods for the recognition of various types
of images that share some visual regularities, without relying on too strong assumptions about patterns to recognize and acquisition
conditions, and without having to rely on domain experts to design specific features.
In 2003, we proposed to combine ensemble of randomized decision trees with random extraction of subwindows (square patches) described by their raw pixel values for image classification/categorization. It was first described in our JDS03 paper (in french) and then in our SGAI-AI-2003 paper. The main contributions are summarized in the CVPR05 paper. See our other publications for details, various applications (in particular on biomedical problems), and latest extensions e.g. for distributed and incremental content-based image retrieval (MIR10) and semantic segmentation (VISAPP09, CVPR09-OTBVS). The java software PiXiT implements the CVPR05 method for image classification and I suggest to use it with its default parameters as a baseline method on new datasets. If results are satisfactory, then you do not need to develop a new method. ;-)
Between January 2005 and October 2014, I was the GIGA Bioinformatics platform manager (scientific head: Prof. L. Wehenkel). In close collaboration with the Bioinformatics and Modeling research unit, this platform offers software development and data analysis services to academic (within the GIGA research center and beyond) as well as to industrial researchers. Its services include classification of biological/biomedical data (SELDI mass spectra, microarrays, clinical databases, ...) obtained from various medical instrumentation based on machine learning methods.
This activity lead to co-authorship of several journal papers (in Journal of Immunology, Proteomics, Annals of the rheumatic diseases, ...) in various application domains (inflammatory diseases, cancer, ...).