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Tomas Bjerner

Professor

Publications

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 (Article in journal) Continue to DOI
Johan Lyth, Pantelis Gialias, Magnus Husberg, Lars Bernfort, Tomas Bjerner, Maria Kristoffersen Wiberg, Lars-Åke Levin, Håkan Gustafsson (2025) Results from a Swedish model-based analysis of the cost-effectiveness of AI-assisted digital mammography European Radiology (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
Hakon Blomstrand, Erik Tesselaar, Bergthor Björnsson, Wolf Bartholomä, Tomas Bjerner, Michael Sandborg, Nils Elander, Mischa Woisetschläger (2025) PCD-CT Versus EID-CT in Imaging of Pancreatic Ductal Adenocarcinoma: A Prospective Comparative Pilot Study Anticancer Research, Vol. 45, p. 1547-1558 (Article in journal) Continue to DOI
Anna Spångeus, Tomas Bjerner, Maria Lindblom, Christoph Goetz, Allan Hummer, Christoph Salzlechner, Mischa Woisetschläger (2025) Breaking the silence: AI's contribution to detecting vertebral fractures in opportunistic CT scans in the elderly-a validation study ARCHIVES OF OSTEOPOROSIS, Vol. 20, Article 42 (Article in journal) Continue to DOI

Research

Two scientists are sitting infront of an MRI

Center for Medical Image Science and Visualization, CMIV

CMIV är ett tvärvetenskapligt forskningscentrum vid LiU, etablerat i samarbete med Region Östergötland och Sectra. Vårt uppdrag är att forma framtidens hälso- och sjukvård genom banbrytande forskning inom medicinsk bildanalys och visualisering.

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