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Most recent publications

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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A. Storås, O. E. Andersen, S. Lockhart, R. Thielemann, F. Gnesin, V. Thambawita, S. Hicks, J. Kanters, I. Strümke, P. Halvorsen et al.

Usefulness of Heat Map Explanations for Deep-Learning-Based Electrocardiogram Analysis

Diagnostics 13, no. 14 (2023).
Journal Article
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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R. K. Røed, G. A. Baugerud, S. Z. Hassan, S. S. Sabet, P. Salehi, M. Powell, M. Riegler, P. Halvorsen and M. S. Johnson

Enhancing Questioning Skills through Child Avatar Chatbot Training with Feedback

Frontiers in Psychology (2023).
Journal Article
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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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

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Several courses within Machine Learning and programming

Available Master's topics

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2023

Proceedings, refereed

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
2022

Journal articles

J. A. Alslie, A. B. Ovesen, T. S. Nordmo, H. D. Johansen, P. Halvorsen, M. Riegler and D. Johansen

Áika: A Distributed Edge System for AI Inference

Big Data and Cognitive Computing 6, no. 2 (2022): 68.
Status: Published
M. Boeker, M. Riegler, H. L. Hammer, P. Jakobsen and P. Halvorsen

Prediction of Schizophrenia from Activity Data using Hidden Markov Model Parameters

Neural Computing and Applications (2022).
Status: Published
A. Chatterjee, N. Pahari, A. Prinz and M. Riegler

Machine learning and ontology in eCoaching for personalized activity level monitoring and recommendation generation

Scientific Reports 12, no. 1 (2022): 19825.
Status: Published
S. S. Eide, M. Riegler, H. L. Hammer and J. B. Bremnes

Deep Tower Networks for Efficient Temperature Forecasting from Multiple Data Sources

Sensors 22, no. 7 (2022): 2802.
Status: Published
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.
Status: Published
H. L. Hammer, A. Yazidi, M. Riegler and H. Rue

Efficient quantile tracking using an oracle

Applied Intelligence 53 (2022): 289-300.
Status: Published
S. Z. Hassan, K. Ahmad, S. Hicks, P. Halvorsen, A. Al-Fuqaha, N. Conci and M. Riegler

Visual Sentiment Analysis from Disaster Images in Social Media

Sensors 22 (2022): 3628.
Status: Published
S. Hicks, V. Thambawita, A. Storås, T. B. Haugen, H. L. Hammer, P. Halvorsen, M. Riegler and M. H. Stensen

Automatic Tracking of the ICSI procedure using Deep Learning

Human Reproduction 37, no. Supplement_1 (2022).
Status: Published