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Developing a metrological framework for assessment of image-based Artificial Intelligence systems for disease detection Image-based AI systems for disease detection are increasingly being developed, making necessary their effectiveness and trustworthiness in heterogeneous clinical settings, as well as their evaluation by approved guidelines. To address these points, MAIBAI aims at developing a standardised and impartial framework
Read MoreMachine Learning for Science and Humanities Postdoctoral Program SMASH is an intersectoral career development training program for postdoctoral researchers, committed to advancing cutting-edge machine learning applications for science and humanities. Developed by a consortium of top-level institutions in Slovenia, SMASH is the first COFUND project coordinated by Slovenian institution, the University of Nova Gorica, and
Read MorePremAtuRe nEwborn motor and cogNitive impairmenTs: Early diagnosis The Faculty of Computer and Information Science of the University of Ljubljana, in a consortium with ten other research institutions, hospitals and companies, obtained a four-year project as part of the Marie Skłodowska-Curie Innovative Network Training (MSCA-ITN) call. As part of the project, the consortium will employ
Read MoreQuantitative MR-based imaging of physical biomarkers Standard MRI (magnetic resonance imaging) results mostly have a qualitative nature that limits their objectivity and comparability. To overcome this, the projects aim is to evaluate the suitability of two MR-based emerging techniques, Electric Properties Tomography (EPT) and Magnetic Resonance Fingerprinting (MRF), to become clinical tools. During the project
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