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Photo of Claes Lundstr枚m

Claes Lundström

Adjunct Professor

Presentation

Claes Lundstr枚m's primary research focus is to develop methods that enable new levels of accuracy and efficiency within medical imaging. The efforts are concentrated at the crossroads of machine learning, visualization and human-computer interaction in demanding clinical settings.

Lundstr枚m's research is carried out within the Center for Medical Image Science and Visualization (CMIV) at Link枚ping University. He received his PhD degree in 2007 and Docent degree in 2014. Particular recognition has been shown for his contributions to uncertainty visualization and Transfer Function design within volume rendering.

He has since 2012 led the technical side of the digital pathology research at CMIV, being the PI for large national-scale grants. Lundstr枚m also leads sizeable efforts in image-based precision orthopedics. From 2017 he is the Arena Director for the Analytic Imaging Diagnostics Arena (AIDA), a national center for research and innovation in Artificial Intelligence based at CMIV.

In parallel with his university efforts, Lundstr枚m since 2010 holds the position as Research Director at Sectra AB, where he has worked continuously since 1997 in several leading positions. Many of his academic contributions has segued into commercial products and concrete benefits to society.

Publications

2026

Sofia Jarkman, Martin Lindvall, Claes Lundstr枚m, Darren Treanor, Jeroen van der Laak (2026) Intelligence-Based Medicine, Vol. 14, Article 100396 (Article in journal)
Emilia St氓hlbom, Jesper Molin, Claes Lundstr枚m, Anders Ynnerman (2026) IEEE Transactions on Visualization and Computer Graphics, Vol. 32, p. 6623-6634 (Article in journal)
Misgina Tsighe Hagos, Antti Suutala, Dmitrii Bychkov, Hakan Kucukel, Joar von Bahr, Milda Poceviciute, Johan Lundin, Nina Linder, Claes Lundstr枚m (2026) Scientific Reports, Vol. 16, Article 9649 (Article in journal)

2025

Misgina Tsighe Hagos, Claes Lundstr枚m (2025) 2025 IEEE 37TH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, ICTAI, p. 686-691 (Conference paper)
A. van den Brandt, Emilia St氓hlbom, F. J. M. van Workum, H. van de Wetering, Claes Lundstr枚m, S. Smit, A. Vilanova (2025) Computer graphics forum (Print), Vol. 44, Article e70147 (Article in journal)

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