Division of Biomedical Engineering (MT)

Through the development and integration of medical research and education with health care and industries, we contribute to increased quality of life in a global perspective.

The Department of Biomedical Engineering at Linköping University is a national center for research, education, and innovation in Biomedical Engineering. Our activities are driven by the society’s healthcare needs and are conducted in close collaboration with the biomedical industry and hospital clinics.

Our main goal is to be a catalyst for sustainable growth in the biomedical engineering innovation systems of the future - an arena for leading international researchers, teachers, entrepreneurs, and students - where new knowledge is created and disseminated. Through development and integration of biomedical research and education with the health care and the business community, we contribute to enhanced quality of life on a global scale.

Our research activities

Our latest publications

2024

Johannes Johansson, Martin Hultman, Rolf Saager (2024) Coagulation depth estimation using a line scanner for depth-resolved laser speckle contrast imaging Biomedical Optics Express, Vol. 15, p. 4486-4497 (Article in journal) Continue to DOI
Nina Grankvist, Cecilia Jönsson, Karin Hedin, Nicolas Sundqvist, Per Sandström, Bergthor Björnsson, Arjana Begzati, Evgeniya Mickols, Per Artursson, Mohit Jain, Gunnar Cedersund, Roland Nilsson (2024) Global 13C tracing and metabolic flux analysis of intact human liver tissue ex vivo Nature Metabolism (Article in journal) Continue to DOI
Christian Jamtheim Gustafsson, Tommy Löfstedt, Mattias Åkesson, Viktor Rogowski, Muhammad Usman Akbar, Andreas Hellander, J. Peter Larsson, Annika Malmström, Ida Blystad, Anders Eklund (2024) Federated training of segmentation models for radiation therapy treatment planning Radiotherapy and Oncology, Vol. 194, p. S4819-S4822 (Article in journal) Continue to DOI
Bengt Arne Sjoqvist, Per Ask, Sture Hägglund, Nils-Erik Pettersson, Jan Olsson (2024) Sponsored senior computers never happened - a 20-year perspective on ICT deployment of healthcare at home! Health and Technology (Article in journal) Continue to DOI
Luigi Belcastro, Hanna Jonasson, Rolf Saager (2024) Multi-frequency spatial frequency domain imaging: a depth-resolved optical scattering model to isolate scattering contrast in thin layers of skin Journal of Biomedical Optics, Vol. 29, Article 046003 (Article in journal) Continue to DOI
A. C. M. Mendes, A. F. G. Monte, Rolf B. Saager (2024) Innovative methodology for noninvasive spatial mapping of gold nanoparticle distribution in tissues: potential applications in biomedical imaging and therapy Optical Society of America. Journal A: Optics, Image Science, and Vision, Vol. 41, p. 1337-1346 (Article in journal) Continue to DOI
Sophie Rigal, Belén Casas, Kajsa P. Kanebratt, Charlotte Wennberg Huldt, Lisa U. Magnusson, Erik Mullers, Fredrik Karlsson, Maryam Clausen, Sara F. Hansson, Louise Leonard, Jonathan Cairns, Rasmus Jansson Lofmark, Carina Ammala, Uwe Marx, Peter Gennemark, Gunnar Cedersund, Tommy B. Andersson, Liisa K. Vilen (2024) Normoglycemia and physiological cortisone level maintain glucose homeostasis in a pancreas-liver microphysiological system Communications Biology, Vol. 7, Article 877 (Article in journal) Continue to DOI
Martin Hultman, Freya Richter, Marcus Larsson, Tomas Strömberg, Fredrik Iredahl, Ingemar Fredriksson (2024) Robust analysis of microcirculatory flowmotion during post-occlusive reactive hyperemia Microvascular Research, Vol. 155, Article 104715 (Article in journal) Continue to DOI
Hanh H. Nguyen, Duy Tho Le, Cat Shore-Lorenti, Colin Chen, Jörg Schilcher, Anders Eklund, Roger Zebaze, Frances Milat, Shoshana Sztal-Mazer, Christian M. Girgis, Roderick Clifton-Bligh, Jianfei Cai, Peter R. Ebeling (2024) AFFnet - a deep convolutional neural network for the detection of atypical femur fractures from anteriorposterior radiographs Bone, Article 117215 (Article in journal) Continue to DOI
Leon Ericsson, Adam Hjalmarsson, Muhammad Usman Akbar, Edward Ferdian, Mia Bonini, Brandon Hardy, Jonas Schollenberger, Maria Aristova, Patrick Winter, Nicholas Burris, Alexander Fyrdahl, Andreas Sigfridsson, Susanne Schnell, C. Alberto Figueroa, David Nordsletten, Alistair A. Young, David Marlevi (2024) Generalized super-resolution 4D Flow MRI - using ensemble learning to extend across the cardiovascular system IEEE journal of biomedical and health informatics, p. 1-12 (Article in journal) Continue to DOI

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