The course will offer a comprehensive overview of basic, theoretical and practical evidence-based concepts needed for a deep and thoughtful understanding of the use of FDG (FDG) Brain PET, amyloid (Amy) PET and DaT SPECT in Neurological Disorders. A brief introduction will be given on the position that each imaging technique holds in the recent […]
This online course is part of a long line of research methodology which is aimed at providing interested participants with information about the preclinical development and clinical translation, as well as the design, conductance and reporting of clinical research trials, with a specific emphasis on radiopharmaceuticals for both diagnostic and therapeutic applications. These first two […]
more information coming soon Faculty Event Overview
Artificial intelligence with the development of deep learning has found numerous applications in the medical field over the past few years, including more specifically that of medical imaging. This includes most areas governing the medical imaging process from detector signal processing to image formation and subsequent image processing. The activity of deep learning spans from […]
more information coming soon Faculty Event Overview
more information coming soon Faculty Event Overview
More information coming soon Learning Objectives Target Audience Faculty Registration Details
more information coming soon Faculty Event Overview
more information coming soon Faculty Event Overview
More information coming soon Learning Objectives Target Audience Faculty Registration Details
The present course aims to describe the current status, in terms of diagnosis and therapy for gynecological cancers. All the gynecological malignancies (i.e., ovary cancer, endometrial cancer, cervical and vaginal cancer) will be evaluated from the oncological and from diagnostic point of view, with a major emphasis on the role of nuclear medicine, both in […]
European School of Multimodality Imaging & Therapy (ESMIT)
Schmalzhofgasse 26
1060 Vienna
Austria
phone +43 1 890 44 27
e-mail esmit@eanm.org
