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Image analysis to help diagnose and understand disease and provide food for everyone.
In the Pattern Recognition and Image Analysis Unit we develop
image analysis algorithms that are capable of identifying patterns
in multidimensional and multimodal imaging data arising in several
natural and life science applications. We use state of the art computer
vision, machine learning, and data mining algorithms to analyze
such data for the purpose of computer aided diagnosis in medicine
and for phenotyping applications. Our uniqueness is that we
develop such solutions in distributed environments (such as cloud
computing) to handle the large amount of data and deal with the
complexity of the problem. Finally, we also develop new
compression algorithms that take advantage of automated analysis
to further reduce the amount of data that are transferred across
the networks.
Within our web pages, you will find descriptions of our various research interests as well as a list of publications. Additionally, we are providing links to the people in the lab and a variety of methods to contact and locate us.
We would like to acknowledge our collaborators, and sponsors and supporters of our research program.
Recent News
- Dr. Rusu, Ms. Morisi, and Mr. Boschetto are the new members of the unit. (1/Mar/2013)
- PRIAn and IMT Lucca sign an agreement with PiCloud Computing for SuperComputing resources. (2/Feb/2013)
- Prof. Tsaftaris becomes a founding Associate Editor (AE) of the renamed IEEE Journal of Biomedical and Health Informatics (J-BHI), formerly known as IEEE Transactions on Information Technology in Biomedicine (T-ITB) journal of the IEEE EMBS society. (2/Dec/2012)