Andrea Damiani

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Mobile devices take an important part in everyday life. They are now cheaper and widespread, but still a lot of time is spent by the users to configure them: users adapt to their own device, not vice versa. Can our smart phones do something smarter? In this work, we propose a framework to support the development of context aware applications for Android(More)
PURPOSE Aim of the COBRA (Consortium for Brachytherapy Data Analysis) project is to create a multicenter group (consortium) and a web-based system for standardized data collection. MATERIAL AND METHODS GEC-ESTRO (Groupe Européen de Curiethérapie - European Society for Radiotherapy & Oncology) Head and Neck (H&N) Working Group participated in the project(More)
Decision Support Systems (DSSs) are increasingly exploited in the area of prognostic evaluations. For predicting the effect of therapies on patients, the trend is now to use image features, i.e. information that can be automatically computed by considering images resulting by analysis. The DSSs application as predictive tools is particularly suitable for(More)
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In the last decade we have witnessed the birth and dramatic growth of mobile devices, from cellular-to smart-phones. Despite the huge amount of information achievable from an always-connected reality, researchers that work in the mobile devices field fight against the impossibility to explore, inspect and test their work on such a vast set of possible(More)
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