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Search results for biblio_year:1991
Filters: 1 is biblio_year:2006 and 2 is biblio_year:1995 and 3 is biblio_year:2005 and 4 is biblio_year:2000 and 5 is biblio_year:1980 and 6 is biblio_type:Master's thesis and 7 is biblio_year:2009 and 8 is biblio_year:2001 and 9 is field_publication_state:17 and Author is Dag Johansen  [Reset Search]
2020
D. Jha, M. A. 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., 2020.PDF icon doubleunet.pdf (3.25 MB)
V. Thambawita, D. Jha, H. L. Hammer, H. D. Johansen, D. Johansen, P. Halvorsen and M. A. 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 (2020).PDF icon acm_health.pdf (7.62 MB)
D. Jha, S. Ali, K. Emanuelsen, S. A. Hicks, V. Thambawita, E. Garcia-Ceja, M. A. Riegler, T. de Lange, P. T. Schmidt, H. D. Johansen et al. Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy In 27th International Conference on Multimedia Modeling., 2020.PDF icon mmm.pdf (648.64 KB)
D. Jha, P. H. Smedsrud, M. Riegler, P. Halvorsen, H. D. Johansen, T. de Lange and D. Johansen. Kvasir-SEG: A Segmented Polyp Dataset In MMM2020. Daejeon, Korea: MMM 2020 26TH INTERNATIONAL CONFERENCE ON MULTIMEDIA MODELING, 2020.PDF icon mmm_2020_kvasir_seg_debesh.pdf (4.04 MB)
V. Thambawita, S. Hicks, H. Borgli, H. K. Stensland, D. Jha, M. K. Svensen, S. Pettersen, D. Johansen, H. D. Johansen, S. D. Pettersen et al. PMData: a sports logging dataset In ACM MMSys 2020., 2020.PDF icon 3339825.3394926.pdf (23.99 MB)
2019
M. Jeppsson, H. Espeland, T. Kupka, R. Langseth, A. Petlund, P. Qiaoqiao, C. Xue, D. Johansen, K. Pogorelov, H. K. Stensland et al. "Efficient Live and On-Demand Tiled HEVC 360 VR Video Streaming." International Journal of Semantic Computing 13, no. 3 (2019): 367-391.
F. L. Henriksen, R. Jensen, H. K. Stensland, D. Johansen, M. Riegler and P. Halvorsen. Performance of Data Enhancements and Training Optimization for Neural Network – A Polyp Detection Case Study In IEEE CBMS International Symposium on Computer-Based Medical Systems (CBMS). IEEE, 2019.PDF icon cbms2019.pdf (5.12 MB)
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)
K. Andreassen, D. Johansen, H. Johansen, I. Baptista, S. A. Pettersen, M. Riegler and P. Halvorsen. Real-time Analysis of Physical Performance Parameters in Elite Soccer In 2019 International Conference on Content-Based Multimedia Indexing (CBMI). IEEE, 2019.PDF icon cbmi2019-metrix.pdf (489.5 KB)
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)
A. Nordskog, P. Halvorsen, S. Hicks, H. K. Stensland, H. L. Hammer, D. Johansen and M. Riegler. Semantic Analysis of Soccer News for Automatic Game Event Classification In 2019 International Conference on Content-Based Multimedia Indexing (CBMI). IEEE, 2019.PDF icon cbmi_2019_aanund_football_news.pdf (734.15 KB)
2018
V. R. Gaddam, R. Langseth, H. K. Stensland, C. Griwodz, M. Riegler, T. Kupka, H. Espeland, D. Johansen, H. Johansen and P. Halvorsen. "Camera Synchronization for Panoramic Videos." In MediaSync, edited by M. Montagud, P. Cesar, F. Boronat and J. Jansen, 565-592. Springer, 2018.
K. Pogorelov, O. Ostroukhova, M. Jeppsson, H. Espeland, C. Griwodz, T. de Lange, D. Johansen, M. Riegler and P. Halvorsen. Deep Learning and Hand-crafted Feature Based Approaches for Polyp Detection in Medical Videos In 31st IEEE CBMS International Symposium on Computer-Based Medical Systems. Karlstad, Sweden: IEEE, 2018.PDF icon cbms_2018_paper_163_preprint.pdf (1.61 MB)
M. Jeppsson, H. Espeland, T. Kupka, R. Langseth, A. Petlund, P. Qiaoqiao, C. Xue, K. Pogorelov, M. Riegler, D. Johansen et al. Efficient Live and on-Demand Tiled HEVC 360 VR Video Streaming In 2018 IEEE International Symposium on Multimedia (ISM). Taichung, Taiwan: IEEE, 2018.PDF icon paper.pdf (8.99 MB)
V. Thambawita, D. Jha, M. Riegler, P. Halvorsen, H. L. Hammer, H. D. Johansen and D. Johansen. The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning In MediaEval 2018. Nice, France: MediaEval, 2018.PDF icon mediaeval_team_dv_10.pdf (374.73 KB)
K. Pogorelov, Z. Albisser, O. Ostroukhova, M. Lux, D. Johansen, P. Halvorsen and M. Riegler. OpenSea - Open Search Based Classification Tool In Proceedings of the 9th ACM Multimedia Systems Conference. Amsterdam, Netherlands: ACM, 2018.
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)
S. L. Eskeland, L. Aabakken, M. Riegler, K. Pogorelov, P. T. Schmidt, D. Johansen and P. Halvorsen. EIR: changing the scene of automatic detection software for gastrointestinal endoscopy In World Congress of GI Endoscopy, Edited by T. de Lange. Hyderabad, India: World Endoscopic Organisation, 2017.
M. Riegler, K. Pogorelov, S. L. Eskeland, P. T. Schmidt, Z. Albisser, D. Johansen, C. Griwodz, P. Halvorsen and T. de Lange. "From Annotation to Computer-Aided Diagnosis: Detailed Evaluation of a Medical Multimedia System." ACM Transactions on Multimedia Computing, Communications, and Applications 13, no. 3 (2017).PDF icon from_annotation_to_computer-aided_diagnosis_detailed_evaluation_of_a_medical_multimedia_system.pdf (697.97 KB)
K. Pogorelov, S. L. Eskeland, T. de Lange, C. Griwodz, K. R. Randel, H. K. Stensland, D. Dang-Nguyen, C. Spampinato, D. Johansen, M. Riegler et al. A Holistic Multimedia System for Gastrointestinal Tract Disease Detection In 8th annual ACM conference on Multimedia Systems (MMSys), Edited by P. Cesar and C. Hsu. ACM, 2017.PDF icon p112-pogorelov.pdf (2.84 MB)
K. Pogorelov, K. Ranheim, C. Griwodz, T. de Lange, S. L. Eskeland, D. Johansen, P. T. Schmidt, C. Spampinato, D. Dang-Nguyen, M. Lux et al. Kvasir: A Multi-Class Image-Dataset for Computer Aided Gastrointestinal Disease Detection In ACM Multimedia Systems. Taiwan: ACM, 2017.
K. Pogorelov, K. Ranheim, T. de Lange, S. L. Eskeland, D. Johansen, C. Griwodz, C. Spampinato, M. Taschwer, M. Lux, P. T. Schmidt et al. Nerthus: A Bowel Preparation Quality Video Dataset In ACM Multimedia Systems. Taipei: ACM, 2017.

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