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P. H. Smedsrud, H. Espeland, T. J. D. Berstad, A. Petlund, T. de Lange, M. Riegler and P. Halvorsen

Man vs. AI: An in silico study of polyp detection performance

In 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS). L'Aquila, Italy: IEEE, 2023.
Proceedings, refereed
2023
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F. Fineide, A. Storås, M. Magnø, H. L. Hammer, X. Chen, A. Khan, P. Halvorsen, T. Utheim and M. Riegler

Predicting the degree of meibomian gland dropout with artificial intelligence

In ARVO Annual Meeting, 2023.
Proceedings, refereed
2023
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F. Fineide, A. Storås, M. Riegler and T. Utheim

Predicting Meibomian Gland Dropout and Feature Importance Analysis with Explainable Artificial Intelligence

In IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS2023), 2023.
Proceedings, refereed
2023
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M. Riegler, V. Thambawita, A. Chatterjee, T. Nguyen, S. Hicks, V. Telle-Hansen, S. A. Pettersen, D. Johansen, R. Jain and P. Halvorsen

ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset

In International Conference on Multimedia Modeling (MMM). Vol. 13833. Cham: Springer International Publishing, 2023.
Proceedings, refereed
2023
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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
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SimulaMet part of EU project to improve patient outcome in acute stroke treatment

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2023

Proceedings, refereed

M. Riegler, V. Thambawita, A. Chatterjee, T. Nguyen, S. Hicks, V. Telle-Hansen, S. A. Pettersen, D. Johansen, R. Jain and P. Halvorsen

ScopeSense: An 8.5-Month Sport, Nutrition, and Lifestyle Lifelogging Dataset

In International Conference on Multimedia Modeling (MMM). Vol. 13833. Cham: Springer International Publishing, 2023.
Status: Published
F. Fineide, A. Storås, M. Riegler and T. Utheim

Predicting Meibomian Gland Dropout and Feature Importance Analysis with Explainable Artificial Intelligence

In IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS2023), 2023.
Status: Accepted
F. Fineide, A. Storås, M. Magnø, H. L. Hammer, X. Chen, A. Khan, P. Halvorsen, T. Utheim and M. Riegler

Predicting the degree of meibomian gland dropout with artificial intelligence

In ARVO Annual Meeting, 2023.
Status: Published
T. Nguyen, A. Storås, V. Thambawita, S. Hicks, P. Halvorsen and M. Riegler

Multimedia datasets: challenges and future possibilities

In International conference on multimedia modeling, 2023.
Status: Published
A. H. Z. Nik, M. Riegler, P. Halvorsen and A. Storås

Generation of Synthetic Tabular Healthcare Data Using Generative Adversarial Networks

In International conference on multimedia modeling. Springer International Publishing, 2023.
Status: Published
A. Sharma, M. Stensen, E. Delbarre, M. Siddiqui, T. Haugen, M. Riegler and H. L. Hammer

Detecting human embryo cleavage stages using YOLO v5 object detection algorithm

In Nordic Artificial Intelligence Research and Development. Springer, 2023.
Status: Published
P. H. Smedsrud, H. Espeland, T. J. D. Berstad, A. Petlund, T. de Lange, M. Riegler and P. Halvorsen

Man vs. AI: An in silico study of polyp detection performance

In 2023 IEEE 36th International Symposium on Computer-Based Medical Systems (CBMS). L'Aquila, Italy: IEEE, 2023.
Status: Published
A. Storås, F. Fineide, H. L. Hammer, A. Khan, M. Magnø, C. Xiangjung, P. Halvorsen, T. Utheim and M. Riegler

Using explainable artificial intelligence (XAI) to explore factors affecting meibomian gland (MG) dropout

In ARVO Annual Meeting, 2023.
Status: Published
A. Storås, M. Magnø, F. Fineide, B. Thiede, X. Chen, I. Strümke, P. Halvorsen, T. Utheim and M. Riegler

Identifying Important Proteins in Meibomian Gland Dysfunction with Explainable Artificial Intelligence

In IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS2023), 2023.
Status: Accepted
2022

Proceedings, refereed

A. H. M. Ahmed, M. Riegler, S. Hicks and A. Elmokashfi

RCAD:Real-time Collaborative Anomaly Detection System for Mobile Broadband Networks

In ACM SIGKDD Conference on Knowledge Discovery and Data Mining. ACM, 2022.
Status: Published