Presentation

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

Lundström's research is carried out within the Center for Medical Image Science and Visualization (CMIV) at Linköping 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. He is the director of the Analytic Imaging Diagnostics Arena (AIDA), a national community for research and innovation in artificial intelligence for diagnostic imaging, an initiative he founded in 2017. He is also scientific director for the AIDA Data Hub, a facility within SciLifeLab. He has previously led several other national collaborative projects across academia, healthcare, and industry in medical imaging.

In parallel with his university efforts, Lundström 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.

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