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M. Lux, M. Riegler, D. Dang-Nguyen, M. Larson, M. Potthast and P. Halvorsen

Team ORG @ GameStory Task 2018

In Proceeding of the MediaEval Benchmarking Initiative for Multimedia Evaluation. MediaEval, 2018.
Proceedings, refereed
2018
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M. Lux, M. Riegler, D. Dang-Nguyen, M. Larson, M. Potthast and P. Halvorsen

GameStory Task at MediaEval 2018

In Proceeding of the MediaEval Benchmarking Initiative for Multimedia Evaluation. CEUR Workshop Proceedings, 2018.
Proceedings, refereed
2018
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N. Said, K. Pogorelov, K. Ahmad, M. Riegler, N. Ahmad, O. Ostroukhova, P. Halvorsen and N. Conci

Deep learning approaches for flood classification and flood aftermath detection

In Working Notes Proceedings of the MediaEval 2018 Workshop. Vol. 2283. Sophia Antipolis, France: CEUR-WS.org, 2018.
Proceedings, refereed
2018
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O. Ostroukhova, K. Pogorelov, M. Riegler, D. Dang-Nguyen and P. Halvorsen

Transfer learning with prioritized classification and training dataset equalization for medical objects detection

In Working Notes Proceedings of the MediaEval 2018 Workshop. CEUR Workshop Proceedings, 2018.
Proceedings, refereed
2018
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Selected publications

A. Reinke, M. D. Tizabi, C. H. Sudre, M. Eisenmann, T. Rädsch, M. Baumgartner, L. Acion, M. Antonelli, T. Arbel, S. Bakas et al.

Common Limitations of Image Processing Metrics: A Picture Story

arXiv, 2022.
Miscellaneous
2022
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M. Riegler, C. Griwodz, C. Spampinato, T. de Lange, S. L. Eskeland, K. Pogorelov, W. Tavanapong, P. T. Schmidt, C. Gurrin, D. Johansen et al.

Multimedia and Medicine: Teammates for Better Disease Detection and Survival

In ACM Multimedia. Amsterdam, The Netherlands, The Netherlands: ACM, 2016.
Proceedings, refereed
2016
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S. Hicks, J. M. Andersen, O. Witczak, V. Thambawita, P. Halvorsen, H. L. Hammer, T. B. Haugen and M. Riegler

Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction

Nature Scientific Reports 9, no. 1 (2019).
Journal Article
2019
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S. Hicks, J. L. Isaksen, V. Thambawita, J. Ghouse, G. Ahlberg, A. Linneberg, N. Grarup, I. Strümke, C. Ellervik, M. S. Olesen et al.

Explaining deep neural networks for knowledge discovery in electrocardiogram analysis

Scientific Reports 11 (2021): 10949.
Journal Article
2021
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News

19 April 2021

Winner of the 3rd International Endoscopy Computer Vision Challenge (EndoCV)

Courses held

Several courses within Machine Learning and programming

Available Master's topics

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2018

Proceedings, refereed

N. Said, K. Pogorelov, K. Ahmad, M. Riegler, N. Ahmad, O. Ostroukhova, P. Halvorsen and N. Conci

Deep learning approaches for flood classification and flood aftermath detection

In Working Notes Proceedings of the MediaEval 2018 Workshop. Vol. 2283. Sophia Antipolis, France: CEUR-WS.org, 2018.
Status: Published
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.
Status: Published

Book chapters

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, 565-592. Springer, 2018.
Status: Published

Talks, keynote

K. Pogorelov, O. Ostroukhova, A. Petlund, P. Halvorsen, H. Espeland, T. Kupka, T. de Lange, C. Griwodz and M. Riegler

Automatic Detection of Angiectasia: Evaluation of Deep Learning and Handcrafted Approaches

In IEEE Conference on Biomedical and Health Informatics (BHI) 2018, 2018.
Status: Published

Miscellaneous

H. Lovett, D. Nassehi, E. Fosse, S. B. Hatlen, S. Madsen, H. O. Melberg and M. Riegler

Kunstig Intelligens - Muligheter, Utfordringer og en Plan for Norge

Oslo, Norway: Teknologiradet, 2018.
Status: Published