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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

21 December 2020

Two Simula projects funded by the Research Council of Norway

Courses held

Several courses within Machine Learning and programming

Available Master's topics

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2022

Proceedings, refereed

T. Nguyen, T. N. Phan, V. N. Nguyen, T. B. Nguyen, P. Halvorsen and M. Riegler

Parallel feature selection based on the trace ratio criterion

In International Joint Conference on Neural Networks (IJCNN). IEEE, 2022.
Status: Published
T. S. Nordmo, A. B. Ovesen, B. A. Juliussen, S. Hicks, V. Thambawita, H. D. Johansen, P. Halvorsen, M. Riegler and D. Johansen

Njord: a fishing trawler dataset

In Proceedings of the 13th ACM Multimedia Systems Conference (MMSYS). New York, NY, USA: ACM, 2022.
Status: Published
A. Reinke, E. Christodoulou, B. Glocker, P. Scholz, F. Isensee, J. Kleesiek, M. Kozubek, M. Reyes, M. Riegler and M. M. Consortium

Metrics Reloaded - A new recommendation framework for biomedical image analysis validation

In Medical Imaging with Deep Learning. MIDL 2022, 2022.
Status: Published
S. S. Sabet, C. Midoglu, S. Z. Hassan, P. Salehi, M. Riegler, C. Griwodz and P. Halvorsen

Comparison of Crowdsourced and Remote Subjective User Studies: A Case Study of Investigative Child Interviews

In The 14th International Conference on Quality of Multimedia Experience. IEEE, 2022.
Status: Published
S. S. Sabet, R. Eg, K. Raaen, M. Qasim, M. Riegler and P. Halvorsen

When Every Millisecond Counts: The Impact of Delay in VR Gaming

In The 14th International Conference on Quality of Multimedia Experience. IEEE, 2022.
Status: Published
A. Sharma, R. Kakulavarapu, V. Thambawita, M. Siddiqui, E. Delbarre, M. Riegler, H. L. Hammer and M. Stensen

Automating tracking of cell division for human embryo development in time lapse videos

In Human Reproduction. Vol. 37. Oxford University Press, 2022.
Status: Published
A. Storås, I. Strümke, M. Riegler and P. Halvorsen

Explainability methods for machine learning systems for multimodal medical datasets: research proposal

In ACM Multimedia Systems (MMSys) Conference. ACM, 2022.
Status: Published
A. Storås, M. Riegler, T. B. Haugen, V. Thambawita, S. Hicks, H. L. Hammer, R. Kakulavarapu, P. Halvorsen and M. H. Stensen

Automatic Unsupervised Clustering of Videos of the Intracytoplasmic Sperm Injection (ICSI) Procedure

In NAIS: Symposium of the Norwegian AI Society . Vol. 1650. NAIS 2022, 2022.
Status: Published
A. Storås, A. Åsberg, P. Halvorsen, M. Riegler and I. Strümke

Predicting Tacrolimus Exposure in Kidney Transplanted Patients Using Machine Learning

In 35th IEEE CBMS International Symposium on Computer-Based Medical Systems. IEEE, 2022.
Status: Published
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.
Status: Published