Cristin-resultat-ID: 1968358
Sist endret: 14. desember 2021, 13:16
Resultat
Faglig foredrag
2021

ANALYST: LR splines & deep learning

Bidragsytere:
  • Agnar Georg Peder Muntingh og
  • Oliver Joseph David Barrowclough

Presentasjon

Navn på arrangementet: Deep Learning seminar
Sted: Oslo
Dato fra: 11. juni 2021
Dato til: 11. juni 2021

Arrangør:

Arrangørnavn: Intervention Center, Oslo University Hospital

Om resultatet

Faglig foredrag
Publiseringsår: 2021

Beskrivelse Beskrivelse

Tittel

ANALYST: LR splines & deep learning

Sammendrag

ANALYST is a research project funded by the Norwegian Research Council that aims to combine the novel LR-spline representation with modern AI techniques. The project specifically targets applications related to geospatial and medical imaging data. In this talk we will provide an introduction to the project concept and mention some of the results achieved in the project. We will then go in more depth into a recent publication that was made in collaboration between IVS and SINTEF. In that paper, the idea was to combine tensor-product splines and deep learning to provide compact representations of smooth segmentation boundaries. This paper has led to several new avenues for future research, so we will conclude the talk by describing some of these future directions and the challenges involved.

Bidragsytere

Agnar Georg Peder Muntingh

  • Tilknyttet:
    Forfatter
    ved Mathematics and Cybernetics ved SINTEF AS

Oliver Joseph David Barrowclough

  • Tilknyttet:
    Forfatter
    ved Mathematics and Cybernetics ved SINTEF AS
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