معرفی
Magnus Borga is a Professor and Vice Dean at the Faculty of Engineering, Linköping University, affiliated with the Department of Medical Technology. His research focuses on Medical Image Analysis, particularly quantitative MRI for non-invasive biomarkers like fat infiltration in organs. He earned an MSc in Applied Physics and Electrical Engineering (1991) and a PhD in Computer Vision (1998), becoming a Professor in 2008.
Research centers on automated methods for anatomical and functional imaging analysis, validated against invasive techniques. Key projects include Dixon MRI optimization, radiomics, and body composition profiling for metabolic disorders. Funding includes grants from the Swedish Research Council (VR), Vinnova, and LiU Cancer.
Publications highlight trends in fat quantification across diseases, muscle composition in chronic pain, and AI-driven segmentation. Collaborations span the Dallas Heart Study, UK Biobank, and AMRA Medical AB, where he served as CTO. He teaches Neural Networks and Learning Systems at Linköping University.
