Objective Recent hardware developments from the medical device manufacturers have made possible non-invasive/in-vivo acquisition of anatomical and physiological measurements. One can cite numerous emerging modalities (e.g. PET, fMRI, DTI). The nature (3D/multi-phase/vectorial) and the volume of this data make impossible in practice their interpretation from humans. On the other hand, these modalities can be used for early screening, therapeutic strategies evaluation as well as evaluating bio-markers for drugs development. Despite enormous progress made on the field of biomedical image analysis still a huge gap exists between clinical research and clinical use. The aim of this proposal is three-fold. First we would like to introduce a novel biomedical image perception framework for clinical use towards disease screening and drug evaluation. Such a framework is expected to be modular (can be used in various clinical settings), computationally efficient (would not require specialized hardware), and can provide a quantitative and qualitative anatomo-pathological indices. Second, leverage progress made on the field of machine learning along with novel, efficient, compact representation of clinical bio-markers toward computer aided diagnosis. Last, using these emerging multi-dimensional signals, we would like to perform longitudinal modelling and understanding the effects of aging to a number of organs and diseases that do not present pre-disease indicators such as brain neurological diseases, muscular diseases, certain forms of cancer, etc.Such a challenging and pioneering effort lies on the interface of medicine (clinical context), biomedical imaging (choice of signals/modalities), machine learning (manifold representations of heterogeneous multivariate variables), discrete optimization (computationally efficient inference of higher-order models), and bio-medical image inference (measurement extraction and multi-modal fusion of heterogeneous information sources). Fields of science medical and health sciencesbasic medicinepharmacology and pharmacydrug discoverymedical and health sciencesclinical medicineoncologynatural sciencescomputer and information sciencesartificial intelligencemachine learning Programme(s) FP7-IDEAS-ERC - Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Topic(s) ERC-SG-ID1 - ERC Starting Grant Interdisciplinary Panel Call for proposal ERC-2010-StG_20091028 See other projects for this call Funding Scheme ERC-SG - ERC Starting Grant Host institution ECOLE CENTRALE DES ARTS ET MANUFACTURES EU contribution € 1 500 000,00 Address GRANDE VOIE DES VIGNES 92290 CHATENAY MALABRY France See on map Activity type Higher or Secondary Education Establishments Administrative Contact Philippe Lezer (Mr.) Principal investigator Nikolaos Paragyios (Prof.) Links Contact the organisation Opens in new window Website Opens in new window Total cost No data Beneficiaries (1) Sort alphabetically Sort by EU Contribution Expand all Collapse all ECOLE CENTRALE DES ARTS ET MANUFACTURES France EU contribution € 1 500 000,00 Address GRANDE VOIE DES VIGNES 92290 CHATENAY MALABRY See on map Activity type Higher or Secondary Education Establishments Administrative Contact Philippe Lezer (Mr.) Principal investigator Nikolaos Paragyios (Prof.) Links Contact the organisation Opens in new window Website Opens in new window Total cost No data
