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Most recent publications

K. Schoeffmann, B. Münzer, M. Riegler and P. Halvorsen

Medical Multimedia Information Systems (MMIS)

In the 2017 ACMProceedings of the 2017 ACM on Multimedia Conference - MM '17. Mountain View, California, USANew York, New York, USA: ACM Press, 2017.
Proceedings, refereed
2017
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R. Jain and M. Riegler

An interview with Prof. Ramesh Jain

ACM SIGMultimedia Records 9, no. 2 (2017): 1.
Journal Article
2017
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K. Ahmad, M. Riegler, K. Pogorelov, P. Halvorsen and F. De Natale

JORD: A System for Collecting Information and Monitoring Natural Disasters by Linking Social Media with Satellite Imagery

In Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing - CBMI '17. New York, USA: ACM Press, 2017.
Proceedings, refereed
2017
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M. Riegler

EIR - A Medical Multimedia System for Efficient Computer Aided Diagnosis

In University of Oslo. Vol. PhD. University of Oslo: University of Oslo, 2017.
PhD Thesis
2017
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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

08 December 2021
The project leaders of the new convergence environments in life sciences in the first column followed by research partners. Marie E. Rognes and Michael A. Riegler can be found as no 5 and 6 from right on the top bar.

Simula researchers in the new convergence environment AUTORYTHM

Courses held

Several courses within Machine Learning and programming

Available Master's topics

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Export 29 results:
2017

Proceedings, refereed

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. Hyderabad, India: World Endoscopic Organisation, 2017.
Status: Published
K. Kousias, C. Midoglu, Ö. Alay, A. Lutu, A. Argyriou and M. Riegler

The Same, Only Different: Contrasting Mobile Operator Behavior from CrowdSourced Dataset

In IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2017). Montreal, Canada: IEEE, 2017.
Status: Published
K. Schoeffmann, B. Münzer, M. Riegler and P. Halvorsen

Medical Multimedia Information Systems (MMIS)

In the 2017 ACMProceedings of the 2017 ACM on Multimedia Conference - MM '17. Mountain View, California, USANew York, New York, USA: ACM Press, 2017.
Status: Published
M. Lux, M. Riegler, P. Halvorsen and G. MacStravic

LireSolr - A Visual Information Retrieval Server

In ACM International Conference on Multimedia Retrieval. Bucharest: ACM, 2017.
Status: Published
D. Nguyen, D. Tien, L. Zhou, R. Gupta, M. Riegler and C. Gurrin

Building a disclosed lifelog dataset: challenges, principles and processes

In Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing (CBMI 2017). ACM/IEEE, 2017.
Status: Published
K. Pogorelov, M. Riegler, P. Halvorsen and C. Griwodz

ClusterTag: Interactive Visualization, Clustering and Tagging Tool for Big Image Collections

In ACM International Conference on Multimedia Retrieval. Bucharest: ACM, 2017.
Status: Published
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.
Status: Published
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.
Status: Published
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). ACM, 2017.
Status: Published
K. Pogorelov, M. Riegler, P. Halvorsen, C. Griwodz, T. de Lange, K. R. Randel, S. L. Eskeland, D. Dang-Nguyen, O. Olga, M. Lux et al.

A comparison of deep learning with global features for gastrointestinal disease detection

In MediaEval Benchmark 2017. Dublin, Ireland: CEUR-WS.org, 2017.
Status: Published