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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_type:Poster and 4 is biblio_year:1988 and 5 is field_publication_state:18 and 6 is 6942 and 7 is biblio_year:2016 and Author is Dag Johansen [Reset Search]
Filters: 1 is biblio_type:Proceedings, refereed and 2 is biblio_type:Manuals and 3 is biblio_type:Poster and 4 is biblio_year:1988 and 5 is field_publication_state:18 and 6 is 6942 and 7 is biblio_year:2016 and Author is Dag Johansen [Reset Search]
A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging." Medical Image Analysis (2021).
2.pdf (3.22 MB)
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A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation." IEEE Journal of Biomedical and Health Informatics (2021).
09314114.pdf (6.16 MB)
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DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation In 25th International Conference on Pattern Recognition . Springer, 2021.
endotect_segmentation_debesh.pdf (4.12 MB)

Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy In 27th International Conference on Multimedia Modeling. MMM 2021, 2021.
mmm.pdf (648.64 KB)

Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning." IEEE Access (2021).
09369308.pdf (2.6 MB)
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DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation In CBMS 2020: International Symposium on Computer-Based Medical Systems. IEEE, 2020.
09183321_1.pdf (1.15 MB)

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.
3386295.pdf (8.11 MB)
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Kvasir-SEG: A Segmented Polyp Dataset In International Conference on Multimedia Modeling. Daejeon, Korea: Springer, 2020.
mmm_2020_kvasir_seg_debesh.pdf (4.04 MB)

LightLayers: Parameter Efficient Dense and Convolutional Layers for Image Classification In The Joint International Conference PDCAT-PAAP 2020. Springer, 2020.
pdcat_paap_springer_debesh.pdf (288.65 KB)

Medico Multimedia Task at MediaEval 2020: Automatic Polyp Segmentation In Medico MediaEval 2020. CEUR, 2020.
2020_automatic_polyp_segmentation_challenge_debesh.pdf (1.49 MB)

PMData: a sports logging dataset In Proceedings of the 11th ACM Multimedia Systems Conference. ACM, 2020.
3339825.3394926.pdf (23.99 MB)

Real-Time Detection of Events in Soccer Videos using 3D Convolutional Neural Networks In 2020 IEEE International Symposium on Multimedia (ISM). IEEE, 2020.
Efficient Live and On-Demand Tiled HEVC 360 VR Video Streaming." International Journal of Semantic Computing 13, no. 3 (2019): 367-391.
"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.
cbms2019.pdf (5.12 MB)

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.
cbmi2019-pmsys.pdf (1.88 MB)

Real-time Analysis of Physical Performance Parameters in Elite Soccer In 2019 International Conference on Content-Based Multimedia Indexing (CBMI). IEEE, 2019.
cbmi2019-metrix.pdf (489.5 KB)

ResUNet++: An Advanced Architecture for Medical Image Segmentation In 2019 IEEE International Symposium on Multimedia (ISM). San Diego, California, USA: IEEE, 2019.
resunet_accepted_debesh.pdf (1.01 MB)

Semantic Analysis of Soccer News for Automatic Game Event Classification In 2019 International Conference on Content-Based Multimedia Indexing (CBMI). IEEE, 2019.
cbmi_2019_aanund_football_news.pdf (734.15 KB)

Camera Synchronization for Panoramic Videos." In MediaSync, edited by M. Montagud, P. Cesar, F. Boronat and J. Jansen, 565-592. Springer, 2018.
"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.
cbms_2018_paper_163_preprint.pdf (1.61 MB)

Efficient Live and on-Demand Tiled HEVC 360 VR Video Streaming In 2018 IEEE International Symposium on Multimedia (ISM). Taichung, Taiwan: IEEE, 2018.
paper.pdf (8.99 MB)

The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning In MediaEval 2018. Nice, France: MediaEval, 2018.
mediaeval_team_dv_10.pdf (374.73 KB)

OpenSea - Open Search Based Classification Tool In Proceedings of the 9th ACM Multimedia Systems Conference. Amsterdam, Netherlands: ACM, 2018.
Efficient disease detection in gastrointestinal videos – global features versus neural networks." Multimedia Tools and Applications 76, no. 21 (2017): 22493-22525.
pogorelov_et_al-2017-multimedia_tools_and_applications.pdf (7.69 MB)
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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.