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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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K. Pogorelov, M. Riegler, P. Halvorsen, S. Hicks, K. R. Randel, D. Dang-Nguyen, M. Lux, O. Ostroukhova and T. de Lange

Medico Multimedia Task at MediaEval 2018

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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03 February 2022
Fasade of the European Commission building.

SimulaMet part of EU project to improve patient outcome in acute stroke treatment

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Several courses within Machine Learning and programming

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2018

Proceedings, refereed

D. Dang-Nguyen, M. Riegler, L. Zhou and C. Gurrin

Challenges and Opportunities within Personal Life Archives

In Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval. New York, NY, USA: ACM Press, 2018.
Status: Published
T. J. D. Berstad, M. Riegler, H. Espeland, T. de Lange, P. H. Smedsrud, K. Pogorelov, H. K. Stensland and P. Halvorsen

Tradeoffs using Binary and Multiclass Neural Network Classification for Medical Multidisease Detection

In 2018 IEEE International Symposium on Multimedia (ISM). IEEE, 2018.
Status: Published
E. Garcia-Ceja, M. Riegler, P. Jakobsen, J. Tørresen, T. Nordgreen, K. J. Oedegaard and O. B. Fasmer

Depresjon: A Motor Activity Database of Depression Episodes in Unipolar and Bipolar Patients

In Proceedings of the 9th ACM Multimedia Systems Conference. New York, NY, USA: ACM Press, 2018.
Status: Published
D. Dang-Nguyen, L. Piras, M. Riegler, L. Zhou, M. Lux and C. Gurrin

Overview of ImageCLEFlifelog 2018: daily living understanding and lifelog moment retrieval

In Working Notes of CLEF 2018 - Conference and Labs of the Evaluation Forum. Avignon, France: CEUR Workshop Proceedings, 2018.
Status: Published
E. Garcia-Ceja, M. Riegler, P. Jakobsen, J. Torresen, T. Nordgreen, K. J. Oedegaard and O. B. Fasmer

Motor Activity Based Classification of Depression in Unipolar and Bipolar Patients

In 2018 IEEE 31st International Symposium on Computer-Based Medical Systems (CBMS). Karlstad, Sweden: IEEE, 2018.
Status: Published
S. Hicks, K. Pogorelov, M. Lux, M. Jeppsson, K. R. Randel, T. de Lange, S. L. Eskeland, P. Halvorsen and M. Riegler

Comprehensible Reasoning and Automated Reporting of Medical Examinations Based on Deep Learning Analysis

In Proceedings of the 9th ACM Multimedia Systems Conference. Amsterdam, Netherlands: ACM, 2018.
Status: Published
S. Hicks, M. Lux, T. de Lange, K. R. Randel, M. Jeppsson, K. Pogorelov, P. Halvorsen and M. Riegler

Mimir: An Automatic Reporting and Reasoning System for Deep Learning based Analysis in the Medical Domain

In Proceedings of the 9th ACM Multimedia Systems Conference. Amsterdam, Netherlands: ACM, 2018.
Status: Published
S. Hicks, M. Riegler, K. Pogorelov, T. de Lange, K. R. Randel, K. V. Ånonsen, M. Jeppsson, P. Halvorsen and S. L. Eskeland

Dissecting Deep Neural Networks for Better Medical Image Classification and Classification Understanding

In 31st IEEE CBMS International Symposium on Computer-Based Medical Systems. Karlstad, Sweden: IEEE, 2018.
Status: Published
B. Ionescu, H. Müller, M. Villegas, A. G. S. de Herrera, C. Eickhoff, V. Andrearczyk, Y. D. Cid, V. Liauchuk, V. Kovalev, S. A. Hasan et al.

Overview of ImageCLEF 2018: Challenges, datasets and evaluation

In ImageCLEF 2018. Springer, 2018.
Status: Published
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.
Status: Published