Mathematical Imaging Group

Organisational unit: Research group

Research areas and keywords

UKÄ subject classification

  • Computer Vision and Robotics (Autonomous Systems)
  • Medical Image Processing
  • Radiology, Nuclear Medicine and Medical Imaging
  • Geometry

Research

The Mathematical Imaging Group is a research group within the Centre for Mathematical Sciences. We are developing new mathematical methods for problems arising in imaging and computer vision. In terms of mathematical tools, we are currently focused on optimization methods, polynomial equations, inverse problems, large scale computing and graph theory. We address problems in geometric computer vision, medical image analysis, cognition and image analysis. We are frequently collaborating with academic partners, industry and society at large.

Recent research outputs

Per Runeson, Björn Regnell, Monica Almqvist & Karl Åström, 2019 Feb 5, Sydsvenska Dagbladet, Debatt

Research output: Contribution to specialist publication or newspaperNewspaper article

Gabrielle Flood, Anders Heyden & Kalle Åström, 2019, Pattern Recognition Applications and Methods - 7th International Conference, ICPRAM 2018, Revised Selected Papers. di Baja, G. S., Fred, A. & De Marsico, M. (eds.). Springer Verlag, p. 116-138 23 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11351 LNCS)

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

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