My current research areas include image processing and pattern recognition applied to medicine, biology and mental health. In particular, I have extensively applied fuzzy-set algorithms, probabilistic models, geostatistics, chaos and nonlinear dynamics to solving problems in molecular imaging, medical imaging, genomic-sequence comparison, pattern retrieval and classification of biological and physiological signals.
Another one of my current pursuits is within the field of radiogenomics. More specifically, the extraction of effective radiomic features for improving sensitivity and specificity, and discovering relationships between imaging and genomic, proteomic and clinical features of different types of cancer. Specifically the development of novel texture analysis, texture synthesis, and texture simulation methods for robust characterization and classification of metastasis on positron emission tomography and computed tomography (PET-CT) scans.