• AI Risk Score on Screening Mammograms Preceding Breast Cancer Diagnosis 

      Larsen, Marthe; Olstad, Camilla Flåt; Koch, Henrik Wethe; Martiniussen, Marit Almenning; Hoff, Solveig Kristin Roth; Lund-Hanssen, Håkon; Solli, Helene; Mikalsen, Karl Øyvind; Auensen, Steinar; Nygård, Jan Franz; Lång, Kristina; Chen, Yan; Hofvind, Solveig Sand-Hanssen (Peer reviewed; Journal article, 2023)
      Background Few studies have evaluated the role of artificial intelligence (AI) in prior screening mammography. Purpose To examine AI risk scores assigned to screening mammography in women who were later diagnosed ...
    • Artificial Intelligence Evaluation of 122969 Mammography Examinations from a Population-based Screening Program 

      Larsen, Marthe; Aglen, Camilla Flåt; Lee, Christoph I.; Hoff, Solveig Roth; Lund-Hanssen, Håkon; Lång, Kristina; Nygård, Jan Franz; Ursin, Giske; Hofvind, Solveig Sand-Hanssen (Journal article; Peer reviewed, 2022)
      The performance of the artificial intelligence system was promising for breast cancer detection in a large population-based mammography screening program. Background Artificial intelligence (AI) has shown promising results ...
    • Matrix factorization for the reconstruction of cervical cancer screening histories and prediction of future screening results 

      Langberg, Geir Severin Rakh Elvatun; Stapnes, Mikal Solberg; Nygård, Jan Franz; Nygård, Mari; Grasmair, Markus; Naumova, Valeriya (Peer reviewed; Journal article, 2022)
      Background Mass screening programs for cervical cancer prevention in the Nordic countries have strongly reduced cancer incidence and mortality at the population level. An alternative to the current mass screening is a ...
    • Recurrent Time-Varying Multi-Graph Convolutional Neural Network for Personalized Cervical Cancer Risk Prediction 

      Gogineni, Vinay Chakravarthi; Langberg, Geir Severin Rakh Elvatun; Naumova, Valeriya; Nygård, Jan Franz; Mari, Nygård,; Grasmair, Markus; Werner, Stefan (Chapter, 2021)
      Cervical cancer screening programs have reduced the incidence of cervical cancer, but suffer from over- and too infrequent screening as women’s risk of developing cervical cancer differs. Personalized risk prediction models ...
    • Towards a data-driven system for personalized cervical cancer risk stratification 

      Langberg, Geir Severin Rakh Elvatun; Nygård, Jan Franz; Gogineni, Vinay Chakravarthi; Nygård, Mari; Grasmair, Markus; Naumova, Valeriya (Peer reviewed; Journal article, 2022)
      Mass-screening programs for cervical cancer prevention in the Nordic countries have been effective in reducing cancer incidence and mortality at the population level. Women who have been regularly diagnosed with normal ...