Publications 2026

Kalsnes J, Isaksen MX, Julbø F, Pradhan M, Kleppe A, De Raedt S, Skrede OJ, Torheim T, Nesheim JA, Mohn HM, Askautrud HA, Cyll K, Kildal W, Rewcastle E, Lillesand M, Kvikstad V, Janssen E, Jones R, Brustugun OT, Brennhovd B, Haug ES, Busund LR, Richardsen E, Andersen S, Dønnem T et al. (2026)
Applicability of mitotic figure counting by deep learning: a development and pan-cancer validation study
FEBS Open Bio (in press)
DOI 10.1002/2211-5463.70210, PubMed 41676879

Publications 2024

Kildal W, Cyll K, Kalsnes J, Islam R, Julbø FM, Pradhan M, Ersvær E, Shepherd N, Vlatkovic L, OSBREAC, Tekpli X, Garred Ø, Kristensen GB, Askautrud HA, Hveem TS, Danielsen HE, OSBREAC - Oslo Breast Cancer Consortium (2024)
Deep learning for automated scoring of immunohistochemically stained tumour tissue sections - Validation across tumour types based on patient outcomes
Heliyon, 10 (13), e32529
DOI 10.1016/j.heliyon.2024.e32529, PubMed 39040241

Publications 2023

Bakke KM, Meltzer S, Grøvik E, Negård A, Holmedal SH, Mikalsen LTG, Færden AE, Lyckander LG, Julbø FMI, Bjørnerud A, Gjesdal KI, Ree AH, Redalen KR (2023)
Imaging the tumour microenvironment in rectal cancer: Decline in tumour blood flow during radiotherapy predicts good outcome
Phys Imaging Radiat Oncol, 25, 100417
DOI 10.1016/j.phro.2023.100417, PubMed 36718357