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.

Research fields in biomedical engineering

Our latest publications

2025

Fredrik Iredahl, Erik Tesselaar, Hanna Jonasson, Daniel Wilhelms, Joakim Henricson (2025) Concentration-dependent microvascular responses to repeated iontophoresis of acetylcholine Microvascular Research, Vol. 157, Article 104749 (Article in journal) Continue to DOI
Hamid Behjat, Anjali Tarun, David Abramian, Martin Larsson, Dimitri Van De Ville (2025) Voxel-Wise Brain Graphs From Diffusion MRI: Intrinsic Eigenspace Dimensionality and Application to Functional MRI IEEE Open Journal of Engineering in Medicine and Biology, Vol. 6, p. 158-167 (Article in journal) Continue to DOI

2024

Muhammad Usman Akbar, Wuhao Wang, Anders Eklund (2024) Beware of diffusion models for synthesizing medical images - A comparison with GANs in terms of memorizing brain MRI and chest x-ray images Machine Learning: Science and Technology (Article in journal) Continue to DOI
Sofie Tapper, Anders Tisell, Jan Hillman, Karin Wårdell (2024) Method for detection of cerebral blood flow in neurointensive care using longitudinal arterial spin labeling MRI PLOS ONE, Vol. 19, Article e0314056 (Article in journal) Continue to DOI
Hendrik Arnold de Weerd, Dimitri Guala, Mika Gustafsson, Jane Synnergren, Jesper Tegne, Zelmina Lubovac-Pilav, Rasmus Magnusson (2024) Latent space arithmetic on data embeddings from healthy multi-tissue human RNA-seq decodes disease modules PATTERNS, Vol. 5, Article 101093 (Article in journal) Continue to DOI
Miguel Mireles, Gabriela Jimenez-Valerio, Jordi Morales-Dalmau, Johannes Johansson, Mar Martinez-Lozano, Ernesto E. Vidal-Rosas, Valenti Navarro-Perez, David R. Busch, Oriol Casanovas, Turgut Durduran, Clara Vilches (2024) Prediction of the response to antiangiogenic sunitinib therapy by non-invasive hybrid diffuse optics in renal cell carcinoma Biomedical Optics Express, Vol. 15, p. 5773-5789 (Article in journal) Continue to DOI
Iulian Emil Tampu, Tamara Bianchessi, Ida Blystad, Peter Lundberg, Per Nyman, Anders Eklund, Neda Haj-Hosseini (2024) Pediatric brain tumor classification using deep learning on MR-images with age fusion Neuro-Oncology Advances (Article in journal) Continue to DOI
Iulian Emil Tampu (2024) Deep learning for medical image analysis in cancer diagnosis
Hamidreza Arjmandi, Kajsa P. Kanebratt, Liisa Vilen, Peter Gennemark, Adam Noel (2024) 3D cell aggregates amplify diffusion signals PLOS ONE, Vol. 19, Article e0310109 (Article in journal) Continue to DOI
Chiara Trenti, Deneb Boito, Filip Hammaréus, Anders Eklund, Eva Swahn, Lena Jonasson, Bertil Wegmann, Petter Dyverfeldt (2024) Abnormal Patterns of Wall Shear Stress in Aortic Dilation Revealed by Permutation Tests Journal of Cardiovascular Magnetic Resonance, Vol. 26, Article 100612 (Article in journal) Continue to DOI

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