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Cristin-resultat-ID:
1968358
Sist endret:
14. desember 2021, 13:16
Resultat
Faglig foredrag
2021
ANALYST: LR splines & deep learning
Agnar Georg Peder Muntingh
og
Oliver Joseph David Barrowclough
Presentasjon
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
Om resultatet
Faglig foredrag
Publiseringsår: 2021
Beskrivelse
Beskrivelse
Engelsk
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.
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fullstendig beskrivelse
Bidragsytere
Bidragsytere
Agnar Georg Peder Muntingh
Forfatter
ved Mathematics and Cybernetics ved SINTEF AS
Oliver Joseph David Barrowclough
Forfatter
ved Mathematics and Cybernetics ved SINTEF AS
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