Image processing, pattern recognition & radiogenomics

Computational models can be used for early detection of the risks for cardiovascular events, elucidating the mechanisms of normal and diseased cells on high-content screening, studying age-related diseases, and predicting mental disorders. 

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.  

For more information and a complete list of publications please visit my personal website

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Previous positions & accomplishments

I received my PhD in Civil Engineering in 1995 from the university of New South Wales, Sydney, Australia. Today I am a Professor of Biomedical Engineering at Linköping University. I have held previous positions as a Professor and leader at the Aizu Research Cluster for Medical Engineering and Informatics, and the Medical Image Processing Lab at the University of Aizu, Japan, as well as leader of the Bioinformatics Research Group at the School of Engineering and Information Technology, University of New South Wales, Canberra, Australia. 

Latest publications
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