The recent advances in modern signal processing techniques have improved the accuracy and reliability of medical diagnoses. The most recent trends in data-based diagnostic tools include three principal keywords: big-data, multichannel analysis and radiomics. The main goal is the ability of processing larger and more heterogeneous information, which is extracted from high-dimensional digital data, to solve more and more complex diagnostic problems.
Our research group is focused on the development of new theoretical frameworks and innovative algorithms applied to biomedical signals, motivated by the concept that the analyzed signals contain information that reflects underlying pathophysiology and that these relationships can be revealed via quantitative signal analysis.
Medical imaging is crucial for assessing, diagnosing, monitoring, and treating physiological and pathological systems. The dawn of digital medical imaging opened the door for the opportunity of developing computer-aided-diagnosis and innovative intelligent systems on a multi-scale level.
Our research group has a firm foundation on traditional image processing techniques which has been built upon with the addition of innovative intelligent systems. Our expertise covers numerous imaging modalities with a solid basis on multi-scale levels, ranging from the single cell level up to the whole organ level.