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Most recent publications

C. Midoglu, A. Storås, S. S. Sabet, M. Hammou, S. Hicks, I. Strümke, M. Riegler, C. Griwodz and P. Halvorsen

Experiences and Lessons Learned from a Crowdsourced-Remote Hybrid User Survey Framework

In 2022 IEEE International Symposium on Multimedia (ISM). Italy: IEEE, 2022.
Proceedings, refereed
2022
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F. Fineide, A. Storås, X. Chen, M. S. Magnø, A. Yazidi, M. Riegler and T. P. Utheim

Predicting an unstable tear film through artificial intelligence

Scientific Reports 12, no. 1 (2022): 21416.
Journal Article
2022
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S. Z. Hassan, S. S. Sabet, P. Salehi, H. Ko, I. Riiser, M. S. Johnson, G. A. Baugerud, M. Riegler and P. Halvorsen

A Comparative Study of Interactive Environments for Investigative Interview of A Virtual Child Avatar

In IEEE international symposium on multimedia (ISM). IEEE, 2022.
Proceedings, refereed
2022
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B. Torpmann-Hagen, V. Thambawita, K. Glette, P. Halvorsen and M. Riegler

Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image Segmentation

In 2022 IEEE International Symposium on Multimedia (ISM). IEEE, 2022.
Proceedings, refereed
2022
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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

11 February 2020

Kunstig intelligens: Vi må tilbake på skolebenken

Courses held

Several courses within Machine Learning and programming

Available Master's topics

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2022

Book chapters

V. Thambawita, S. Hicks, E. Jaouen, P. Halvorsen and M. Riegler

Smittestopp analytics: Analysis of position data

In Smittestopp − A Case Study on Digital Contact Tracing, 63-79. Vol. 11. Cham: Springer International Publishing, 2022.
Status: Published

Posters

A. Storås, M. Riegler, P. Halvorsen, A. Åsberg and I. Strümke

Predicting drug exposure in kidney transplanted patients using machine learning

NORA Annual Conference, Stavanger, Norway, 2022.
Status: Published

Talks, invited

A. Storås, I. Strümke, M. Riegler and P. Halvorsen

Explainable Artificial Intelligence in Medicine

In Nordic AI Meet 2022, 2022.
Status: Accepted

Public outreach

O. Lysne, I. Strümke and M. Riegler

Data samlet fra åpne kilder er ikke ufarlig

Kronikk: Aftenposten, 2022.
Status: Published

Miscellaneous

S. Aneja, C. Midoglu, D. Dang-Nguyen, S. Khan, M. Riegler, P. Halvorsen, C. Bregler and B. Adsumilli

ACM Multimedia Grand Challenge on Detecting Cheapfakes

ACM Multimedia Conference (MM): ACM, 2022.
Status: Published
S. Hicks, A. Storås, M. Riegler, C. Midoglu, M. Hammou, T. de Lange, S. Parasa, P. Halvorsen and I. Strümke

Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations

arXiv, 2022.
Status: Published
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.
Status: Published
2020

Journal articles

H. Borgli, V. Thambawita, P. H. Smedsrud, S. Hicks, D. Jha, S. L. Eskeland, K. R. Randel, K. Pogorelov, M. Lux, D. T. D. Nguyen et al.

HyperKvasir, a comprehensive multi-class image and video dataset for gastrointestinal endoscopy

Scientific Data 7, no. 1 (2020): 1-14.
Status: Published
E. Garcia-Ceja, B. Morin, A. Aguilar-Rivera and M. Riegler

A Genetic Attack Against Machine Learning Classifiers to Steal Biometric Actigraphy Profiles from Health Related Sensor Data

Journal of Medical Systems 44, no. 10 (2020): 1-11.
Status: Published
P. Jakobsen, E. Garcia-Ceja, M. Riegler, L. A. Stabell, T. Nordgreen, J. Torresen, O. B. Fasmer and K. J. Oedegaard

Applying machine learning in motor activity time series of depressed bipolar and unipolar patients compared to healthy controls

PLOS ONE 15, no. 8 (2020): e0231995.
Status: Published