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Biomarker Lab | | | | | BiomarkersLab aims to develop new machine learning technologies for supervised and semi-supervised learning that will allow the design of efficient imaging biomarkers. | | | | Imaging Biomarkers | | | | | We primarily concentrate in the extraction of shapes and appearances and the development of geometrical models that allow computing similarity measures on them from which learning machines can be trained, the resulting biomarker quality being assessed by correlating with other data acquired during clinical studies. Currently, we are engaged in projects relating to COPD (smokers¡¯ lungs), CVD (Cardiovascular disease), OP (Osteoporosis), OA (Osteoarthritis) and Breast Cancer. | | | |
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