Fredrik Andreas Dahl

Performance of Two Deep Learning–based AI Models for Breast Cancer Detection and Localization on Screening Mammograms from BreastScreen Norway Radiology: Artificial Intelligence (RAI), vol. 7, (ISSN 2638-6100 ), doi: https://doi.org/10.1148/ryai.240039 , 2025. Vitenskapelig artikkel

Alba Ordonez; Fredrik Andreas Dahl; Olav Brautaset; Line Eikvil; Unsupervised domain adaptation for breast cancer detection in a multi-scanner environment: A case-study from Norway 2025. Vitenskapelig foredrag

Uncertainties of Satellite-based Essential Climate Variables from Deep Learning arXiv, doi: https://doi.org/10.48550/ARXIV.2412.17506 , 2024. Vitenskapelig oversiktsartikkel/review

Fredrik Andreas Dahl; Olav Brautaset; Marit Holden; Line Eikvil; Marthe Larsen; et al. En to-trinns kunstig intelligens modell for deteksjon av brystkreft i mammogrammer 2024. Faglig foredrag

Alba Ordonez; Amund Hansen Vedal; Fredrik Andreas Dahl; Exploring Concept-Based Explainability in Breast Cancer Classification 2024. Rapport

Fredrik Andreas Dahl; Bildevurdering og bruk av kunstig intelligens 2024. Faglig foredrag

Fredrik Andreas Dahl; Line Eikvil; Amund Hansen Vedal; Training GCN on breast positioning using partially annotated mammograms 2023. Poster

Fredrik Andreas Dahl; Line Eikvil; Ingunn Fride Tvete; Pierre Lison; Ildikó Pilán; et al. Helse-effektivisering - et mulig satsningsområde for NR 2023. Rapport

A two-stage mammography classification model using explainable-AI for ROI detection Nordic Machine Intelligence (NMI), vol. 3, (ISSN 2703-9196 ), doi: https://doi.org/10.5617/nmi.10459 , 2023. Vitenskapelig artikkel

Fredrik Andreas Dahl; Ragnar Hauge; Bjarte M. Østvold; Sjakkjuks 2023. Rapport

Fredrik Andreas Dahl; Line Eikvil; Amund Hansen Vedal; Training GCN on breast positioning using partially annotated mammograms 2023. Vitenskapelig foredrag

Fredrik Andreas Dahl; Marit Holden; Olav Brautaset; Line Eikvil; Utilizing earlier images in mammography cancer detection 2023. Poster

Using stochastic simulation modelling to study occupancy levels of decentralised admission avoidance units in Norway Health Systems, vol. 12, pp. 317 331 , (ISSN 2047-6965 2047-6973 ), doi: https://doi.org/10.1080/20476965.2023.2174453 , 2023. Vitenskapelig artikkel

The FLIPPED STEP study: A randomized controlled trial of flipped vs. traditional classroom teaching in a university-level statistics and epidemiology course International Journal of Educational Research Open, vol. 3, (ISSN 2666-3740 ), doi: https://doi.org/10.1016/j.ijedro.2022.100197 , 2022. Vitenskapelig artikkel

Prediction of occult atrial fibrillation in patients after cryptogenic stroke and transient ischaemic attack: PROACTIA Europace, vol. 24, pp. 1881 1888 , (ISSN 1099-5129 1532-2092 ), doi: https://doi.org/10.1093/europace/euac092 , 2022. Vitenskapelig artikkel

Fredrik Andreas Dahl; Amund Hansen Vedal; Line Eikvil; Analyzing breast positioning in mammograms with graph convolutional networks 2022. Vitenskapelig foredrag

Fredrik Andreas Dahl; Marit Holden; Olav Brautaset; Line Eikvil; A two-stage mammography classification model using XAI for ROI detection 2022. Poster

A mammography classification model trained from image labels only Proceedings of the Northern Lights Deep Learning Workshop, (ISSN 2703-6928 ), doi: https://doi.org/10.7557/18.6244 , 2022. Vitenskapelig artikkel

Fredrik Andreas Dahl; Marit Holden; Olav Brautaset; Line Eikvil; Machine learning for screening mammography 2022. Rapport

Line Eikvil; Fredrik Andreas Dahl; Marit Holden; Olav Brautaset; Solveig Sand-Hanssen Hofvind; et al. Procedures for mammographic screening with machine learning 2022. Rapport

Stroke unit demand in Norway – present and future estimates BMC Health Services Research, vol. 22, (ISSN 1472-6963 ), doi: https://doi.org/10.1186/s12913-021-07385-1 , 2022. Vitenskapelig artikkel

Alba Ordonez; Amund Hansen Vedal; Fredrik Andreas Dahl; Line Eikvil; Explainability and uncertainty for classification of mammograms 2022. Poster

Fredrik Andreas Dahl; Marit Holden; Olav Brautaset; Line Eikvil; A mammography classification model trained from image labels only 2022. Poster

Ildikó Pilán; Pål Haugar Brekke; Fredrik Andreas Dahl; Tore Gundersen; Haldor Husby; et al. Classification of Syncope Cases in Norwegian Medical Records pp. 79 84 , doi: https://doi.org/10.18653/v1/2020.clinicalnlp-1.9 , 2020. Vitenskapelig Kapittel/Artikkel/Konferanseartikkel