Cristin-person-ID: 38607
Person

Johannes Sølhusvik

  • Stilling:
    Førsteamanuensis
    ved Nanoelektronikksystemer ved Universitetet i Oslo

Resultater Resultater

Toward real-time polyp detection using fully CNNs for 2D Gaussian shapes prediction.

Qadir, Hemin Ali Qadir; Shin, Younghak; Sølhusvik, Johannes; Bergsland, Jacob; Aabakken, Lars; Balasingham, Ilangko. 2020, Medical Image Analysis. MNU, NTNU, UIO, OUS, OVTVitenskapelig artikkel

Improving Automatic Polyp Detection Using CNN by Exploiting Temporal Dependency in Colonoscopy Video.

Qadir, Hemin Ali; Balasingham, Ilangko; Sølhusvik, Johannes; Bergsland, Jacob; Aabakken, Lars; Shin, Younghak. 2019, IEEE journal of biomedical and health informatics. NTNU, UIO, OUS, OVTVitenskapelig artikkel

A framework with a fully convolutional neural network for semi-automatic colon polyp annotation.

Qadir, Hemin Ali; Sølhusvik, Johannes; Bergsland, Jacob; Aabakken, Lars; Balasingham, Ilangko. 2019, IEEE Access. NTNU, UIO, OUS, OVTVitenskapelig artikkel

Polyp detection and segmentation using Mask R-CNN: Does a deeper feature extractor CNN always perform better?

Qadir, Hemin Ali Qadir; Shin, Younghak; Sølhusvik, Johannes; Bergsland, Jacob; Aabakken, Lars; Balasingham, Ilangko. 2019, International Symposium on Medical Information and Communication Technology. NTNU, UIO, SØRKOREA, OVT, OUSVitenskapelig artikkel
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