Blar i NTNU Open på forfatter "Naumova, Valeriya"

Viser treff 1-6 av 6

    • Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective 

      Gogineni, Vinay Chakravarthi; Langberg, Geir Severin Rakh Elvatun; Naumova, Valeriya; Nygård, Jan; Nygård, Marie; Grasmair, Markus; Werner, Stefan (Chapter, 2021)
      Routine cervical cancer screening at regular periodic intervals leads to either over-screening or too infrequent screening of patients. For this purpose, personalized screening intervals are desirable that account for ...

    • Early Prediction of Cervical Cancer Using Matrix Factorization 

      Stapnes, Mikal (Master thesis, 2020)
      En av hundre norske kvinner kommer til å utvikle livmorhalskreft innen en alder av 75. Kreften er den tredje mest hyppige blant kvinner i alderen 25 til 49. De nordiske screeningprogramme for livmorhalskreft har en påvist ...

    • Graph Kernel Recursive Least-Squares Algorithms 

      Gogineni, Vinay Chakravarthi; Naumova, Valeriya; Werner, Stefan; Huang, Yih-Fang (Chapter, 2022)
      This paper presents graph kernel adaptive filters that model nonlinear input-output relationships of streaming graph signals. To this end, we propose centralized and distributed graph kernel recursive least-squares (GKRLS) ...

    • 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 ...