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Tomas Bjerner

Professor

Publications

2026

S. L. Sundland, L. L. Lundvall, Håkan Gustafsson, Tomas Bjerner, Johan Kihlberg (2026) Radiographers' role in the age of AI: A qualitative comparative multi case study Radiography, Vol. 32, Article 103395 (Article in journal) Continue to DOI
Johan Lyth, Pantelis Gialias, Magnus Husberg, Lars Bernfort, Tomas Bjerner, Maria Kristoffersen Wiberg, Lars-Åke Levin, Håkan Gustafsson (2026) Results from a Swedish model-based analysis of the cost-effectiveness of AI-assisted digital mammography European Radiology, Vol. 36, p. 754-764 (Article in journal) Continue to DOI
Nafsika Korsavidou Hult, Sambit Tarai, Klara Hammarstrom, Joel Kullberg, Elin Lundstrom, Tomas Bjerner, Bengt Glimelius, Hakan Ahlstrom (2026) Inclusion of tumor periphery in radiomics analysis of magnetic resonance images does not improve predictions of preoperative therapy response in patients with rectal cancer ABDOMINAL RADIOLOGY, Vol. 51, p. 1116-1128 (Article in journal) Continue to DOI

2025

Pantelis Gialias, Maria Kristoffersen Wiberg, Anne-Kathrin Brehl, Tomas Bjerner, Håkan Gustafsson (2025) The use of artificial intelligence (AI) to safely reduce the workload of breast cancer screening: a retrospective simulation study Acta Radiologica, Vol. 66, p. 1165-1173 (Article in journal) Continue to DOI
Wolf Bartholomä, Stefan Gilg, Peter Lundberg, Peter N. Larsen, Ville Sallinen, Malin Sternby Eilard, Jozef Urdzik, Gert Lindell, Torkel B. Brismar, Eva Fallentin, Ali Ovissi, Andreas Socratous, Tomas Bjerner, Sophie Kollbeck, Jens Tellman, Fredrik Holmquist, Nils Dahlström, Mischa Woisetschläger, Bergthor Björnsson, Ernesto Sparrelid, Per Sandström (2025) Magnetic resonance-derived hepatic uptake index improves the identification of patients at risk of severe post-hepatectomy liver failure British Journal of Surgery, Vol. 112, Article znaf103 (Article in journal) Continue to DOI

Research

Two scientists are sitting infront of an MRI

Center for Medical Image Science and Visualization, CMIV

CMIV conducts focused front-line research providing solutions to tomorrow’s clinical issues. The CMIV mission is to develop future methods and tools for image analysis and visualization for applications within health care and medical research.

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