Johannes Sølhusvik

Image of Johannes Sølhusvik
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Visiting address Gaustadalléen 23 B Ole-Johan Dahls hus 0373 Oslo
Postal address Postboks 1080 Blindern 0316 Oslo

Publications

  • Qadir, Hemin Ali Qadir; Shin, Younghak; Sølhusvik, Johannes; Bergsland, Jacob; Aabakken, Lars & Balasingham, Ilangko (2020). Toward real-time polyp detection using fully CNNs for 2D Gaussian shapes prediction. Medical Image Analysis.  ISSN 1361-8415.  68 . doi: 10.1016/j.media.2020.101897 Full text in Research Archive. Show summary
  • Qadir, Hemin Ali Qadir; Shin, Younghak; Sølhusvik, Johannes; Bergsland, Jacob; Aabakken, Lars & Balasingham, Ilangko (2019). Polyp detection and segmentation using Mask R-CNN: Does a deeper feature extractor CNN always perform better?. International Symposium on Medical Information and Communication Technology.  ISSN 2326-828X.  2019-May, s 1- 6 . doi: 10.1109/ISMICT.2019.8743694 Full text in Research Archive.
  • Qadir, Hemin Ali; Balasingham, Ilangko; Sølhusvik, Johannes; Bergsland, Jacob; Aabakken, Lars & Shin, Younghak (2019). Improving Automatic Polyp Detection Using CNN by Exploiting Temporal Dependency in Colonoscopy Video. IEEE journal of biomedical and health informatics.  ISSN 2168-2194.  24(1), s 180- 193 . doi: 10.1109/JBHI.2019.2907434 Full text in Research Archive.
  • Qadir, Hemin Ali; Sølhusvik, Johannes; Bergsland, Jacob; Aabakken, Lars & Balasingham, Ilangko (2019). A framework with a fully convolutional neural network for semi-automatic colon polyp annotation. IEEE Access.  ISSN 2169-3536.  7, s 169537- 169547 . doi: 10.1109/ACCESS.2019.2954675 Full text in Research Archive.

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Published Dec. 6, 2013 11:06 AM - Last modified Jan. 3, 2014 1:51 PM

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