
Seniorforsker
Fredrik Andreas Dahl
- Avdeling Bildeanalyse og jordobservasjon
- Telefonnummer +47 22 85 25 92
- E-post fadahl@nr.no
Prosjekter
Publikasjoner
- 28 publikasjoner funnet
- Utgiver
Unsupervised Domain Adaptation for Breast Cancer Detection in a Multi-Scanner Environment: A Case-Study from Norway Lecture Notes in Computer Science (LNCS), vol. 15734, pp. 355 364 , (ISSN 0302-9743 1611-3349 ), doi: https://doi.org/10.1007/978-3-031-95838-0_35 , 2025. Vitenskapelig artikkel
Modelling Uncertainty in Graph Convolutional Networks for Edge Detection in Mammograms Lecture Notes in Computer Science (LNCS), vol. 15917, pp. 261 275 , (ISSN 0302-9743 1611-3349 ), doi: https://doi.org/10.1007/978-3-031-98691-8_19 , 2025. Vitenskapelig artikkel
Self-guided SwinTransformer Improves Breast Cancer Detection Through Iterative Attention-Based Zooming Lecture Notes in Computer Science (LNCS), vol. 15917, pp. 31 42 , (ISSN 0302-9743 1611-3349 ), doi: https://doi.org/10.1007/978-3-031-98691-8_3 , 2025. Vitenskapelig artikkel
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
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
En to-trinns kunstig intelligens modell for deteksjon av brystkreft i mammogrammer 2024. Faglig foredrag
Bildevurdering og bruk av kunstig intelligens 2024. Faglig foredrag
Training GCN on breast positioning using partially annotated mammograms 2023. Vitenskapelig foredrag
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
Sjakkjuks 2023. Rapport
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
Analyzing breast positioning in mammograms with graph convolutional networks 2022. Vitenskapelig foredrag
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
Machine learning for screening mammography 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
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