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
  • 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), p. 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, p. 169537–169547. doi: 10.1109/ACCESS.2019.2954675. Full text in Research Archive
  • 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, p. 1–6. doi: 10.1109/ISMICT.2019.8743694. 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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