REGISTRATION TO ATTEND THIS EVENT IN PERSON IS NOT POSSIBLE ANYMORE, AS THE MAXIMUM N° OF PARTICIPANTS WAS REACHED.
YOU CAN STILL REGISTER TO ATTEND REMOTELY THROUGH OUR WEBCONFERENCING TOOL, OR ASK FOR OTHER AVAILABLE DATES.
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DECIDE (Diagnostic Enhancement of Confidence by an International Distributed Environment) is a FP7-funded project aiming at implementing a e-Infrastructure and e-Service for the automatic extraction of disease markers for the Alzheimer's Disease from RMI and PET/SPECT images and EEG traces, to be used by researchers and clinicians.
In the project, we have built up a GRID infrastructure enabling the upload of individual structural MRI, resting state FDG-PET, and resting state EEG datasets for an automatic extraction of structural MRI, FDG-PET and candidate EEG markers of Alzheimer’s disease for diagnostic and research purposes. The DECIDE service provides a statistical diagnostic report for any modality (structural MRI, FDG-PET and candidate EEG markers).
This training event will be focus on the use of the GridMRISeg, GridGDI and GridEEG DECIDE e-services. The e-services, which are now opening to a first group of selected physicians and scientists, are available to authorised users trough a simple web interface and is intended for research purposes and as a support to early diagnosis of the disease.
In this training event will be discussed the Hippocampal volume changes over the time and its great potential as a marker to diagnose and track the progression of Alzheimer's disease. The main advantages between the GridMRIseg and GridGDI services and the classical local tracing tools will be highlighted. Great attention will be spent on the optimization of all the features that give back the most accurate results. Practical examples will be run at the end. Finally the main features and procedure to easily retrieve the results and produce the diagnostic reports will be explained.
It will be possible for the participants to submit a final examination that will enable them to become a "DECIDE certified user" and receive their credentials to access the DECIDE platform and to use the GridMRISeg, GridGDI and GridEEG services in their daily work.
It will be possible to partecipate to the event by e-learning platform. This is the link to the virtual room: http://connect.ct.infn.it/decidetrainingroom/
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