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Search results for biblio_type:Proceedings, non-refereed
Filters: 1 is biblio_type:Proceedings, refereed and 2 is biblio_type:Manuals and 3 is biblio_year:2019 and 4 is biblio_type:Poster and 5 is biblio_year:1988 and 6 is field_publication_state:18 and 7 is biblio_year:2018 and 8 is field_research_area:590 and Author is Håvard D Johansen  [Reset Search]
2020
D. Jha, M. Riegler, D. Johansen, P. Halvorsen and H. D. Johansen. DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation In CBMS 2020: International Symposium on Computer-Based Medical Systems. IEEE, 2020.PDF icon doubleunet.pdf (3.25 MB)
V. Thambawita, D. Jha, H. L. Hammer, H. D. Johansen, D. Johansen, P. Halvorsen and M. Riegler. "An Extensive Study on Cross-Dataset Bias and Evaluation Metrics Interpretation for Machine Learning applied to Gastrointestinal Tract Abnormality Classification." ACM Transactions on Computing for Healthcare 1 (2020): 1-29.PDF icon acm_health.pdf (7.62 MB)
2019
T. Wiik, H. D. Johansen, S. A. Pettersen, I. Baptista, T. Kupka, D. Johansen, M. Riegler and P. Halvorsen. Predicting Peek Readiness-to-Train of Soccer Players Using Long Short-Term Memory Recurrent Neural Networks In 2019 International Conference on Content-Based Multimedia Indexing (CBMI). IEEE, 2019.PDF icon cbmi2019-pmsys.pdf (1.88 MB)
D. Jha, P. H. Smedsrud, M. Riegler, D. Johansen, T. de Lange, P. Halvorsen and H. D. Johansen. ResUNet++: An Advanced Architecture for Medical Image Segmentation In 2019 IEEE International Symposium on Multimedia (ISM). San Diego, California, USA: IEEE, 2019.PDF icon resunet_accepted_debesh.pdf (1.01 MB)