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Filters: 1 is biblio_type:PhD Thesis and Author is Eskeland, Sigrun Losada  [Reset Search]
2019
S. Hicks, P. H. Smedsrud, M. Riegler, T. de Lange, A. Petlund, S. L. Eskeland, K. Pogorelov, P. T. Schmidt and P. Halvorsen. "Deep Learning for Automatic Generation of Endoscopy Reports." Gastrointestinal Endoscopy 89, no. 6 (2019).
P. H. Smedsrud, M. Riegler, T. de Lange, A. Petlund, S. L. Eskeland and P. Halvorsen. Kunstig intelligens for endoskopi – Automatisk deteksjon av lesjoner i sanntid. NGF Nytt, Vol. 26, No 1, March 2019, p. 34: Norsk Gastroenterologisk Forening, 2019.PDF icon ngf-nytt.pdf (439.45 KB)
2017
K. Pogorelov, M. Riegler, P. Halvorsen, C. Griwodz, T. de Lange, K. R. Randel, S. L. Eskeland, D. Dang-Nguyen, O. Olga, M. Lux et al. A comparison of deep learning with global features for gastrointestinal disease detection In MediaEval Benchmark 2017, Edited by M. Riegler. Dublin, Ireland: CEUR-WS.org, 2017.
K. Pogorelov, M. Riegler, S. L. Eskeland, T. de Lange, D. Johansen, C. Griwodz, P. T. Schmidt and P. Halvorsen. "Efficient disease detection in gastrointestinal videos – global features versus neural networks." Multimedia Tools and Applications 76, no. 21 (2017): 22493-22525.PDF icon pogorelov_et_al-2017-multimedia_tools_and_applications.pdf (7.69 MB)
M. Riegler, K. Pogorelov, P. Halvorsen, C. Griwodz, T. de Lange, K. R. Randel, S. L. Eskeland, D. Dang-Nguyen, M. Lux and C. Spampinato. Multimedia for medicine: the medico Task at mediaEval 2017 In MediaEval Benchmark 2017, Edited by M. Riegler. Dublin, Ireland: CEUR-WS.org, 2017.