معرفی
Jonn Terje Geitung is a Professor at the University of Oslo, affiliated with the Division of Medicine and Laboratory Sciences within the Faculty of Medicine. His research focuses on advanced medical imaging techniques, including MRI, CT, and their integration with artificial intelligence (AI). Key areas of interest include neuroimaging, oncologic imaging, and diagnostic accuracy in interventional procedures. He has contributed to studies on brain tumor classification via deep learning, AI-driven metabolite mapping, and low-dose contrast medium strategies in CT pulmonary angiography.
Geitung’s work emphasizes clinical trials and translational research, such as optimizing imaging protocols for cardiovascular and musculoskeletal systems. His publications address challenges in diagnostic reproducibility, such as plaque thickness measurement in arteries and spinal fracture detection in multiple myeloma patients. Collaborations span interdisciplinary teams, including radiologists, oncologists, and AI specialists. He has also explored the application of imaging in rare diseases, like breast sarcoidosis, and evaluated safety aspects of imaging modalities in national healthcare contexts.
