Visual information and interaction
At the division of Visual Information and Interaction, Vi2, a unique combination of expertise in computerized image analysis and human-computer interaction is located. Mathematics and psychology is combined, with a focus on making the research useful in practice. Information technology has changed the way people work and today we can achieve what was still science fiction a few years ago. VI2 contributes to enhanced support for e.g. surgeons, historians and train dispatchers. In several projects, we strive towards the automation of the interpretation of images, e.g. from X-ray and microscopy applications. In others, we apply the knowledge of how people work and use information to the design of computer support systems and work processes that make the best use of the opportunities offered by computers and automation technology. Vi2 hosts the Centre for Image Analysis.
- Improved breast cancer histological grading using deep learning. In Annals of Oncology, volume 33, number 1, pp 89-98, 2022. (DOI, Fulltext, fulltext:print).
- An unfitted RBF-FD method in a least-squares setting for elliptic PDEs on complex geometries. In Journal of Computational Physics, volume 436, pp 110283-110283, 2021. (DOI, External link).
- Special Issue on "Toward Intelligent Internet of Medical Things and its COVID-19 Applications and Beyond". In IEEE Internet of Things Journal, volume 8, number 21, pp 15649-15651, IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2021. (DOI, Fulltext).