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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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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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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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Projects

Child holding hands with a robot in Japan. Photo: Andy Kelly, Unsplash

Interview training of child-welfare and law-enforcement professionals interviewing maltreated children supported via artificial avatars

Courses held

Several courses within Machine Learning and programming

Available Master's topics

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2021

Journal articles

V. Thambawita, J. L. Isaksen, S. Hicks, J. Ghouse, G. Ahlberg, A. Linneberg, N. Grarup, C. Ellervik, M. S. Olesen, T. Hansen et al.

DeepFake electrocardiograms using generative adversarial networks are the beginning of the end for privacy issues in medicine

Nature Scientific Reports 11 (2021): 21896.
Status: Published
V. Thambawita, I. Strümke, S. Hicks, P. Halvorsen, S. Parasa and M. Riegler

Impact of Image Resolution on Deep Learning Performance in Endoscopy Image Classification: An Experimental Study Using a Large Dataset of Endoscopic Images

Diagnostics 11, no. 12 (2021).
Status: Published
J. O. Valand, H. Kadragic, S. Hicks, V. Thambawita, C. Midoglu, T. Kupka, D. Johansen, M. Riegler and P. Halvorsen

AI-Based Video Clipping of Soccer Events

Machine Learning and Knowledge Extraction 3, no. 4 (2021): 990-1008.
Status: Published

Proceedings, refereed

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

Dutkat: A Multimedia System for Catching Illegal Catchers in a Privacy-Preserving Manner

In Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval (ICDAR'21). New York, NY, USA: ACM, 2021.
Status: Published
G. A. Baugerud, M. S. Johnson, R. K. Røed, M. E. Lamb, M. Powell, V. Thambawita, S. Hicks, P. Salehi, S. Z. Hassan, P. Halvorsen et al.

Multimodal Virtual Avatars for Investigative Interviews with Children

In Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval (ICDAR '21). New York, NY, USA: ACM, 2021.
Status: Published
S. S. Eide, M. Riegler, H. L. Hammer and J. B. Bremnes

Temperature Forecasting using Tower Networks

In Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval. New York, NY, USA: Association for Computing Machinery, 2021.
Status: Published
E. Garcia-Ceja, V. Thambawita, S. Hicks, D. Jha, P. Jakobsen, H. L. Hammer, P. Halvorsen and M. Riegler

HTAD: A Home-Tasks Activities Dataset with Wrist-accelerometer and Audio Features

In 27th International Conference on Multimedia Modeling. Springer, 2021.
Status: Published
S. Z. Hassan, K. Ahmad, M. Riegler, S. Hicks, N. Conci, P. Halvorsen and A. Al-Fuqaha

Visual Sentiment Analysis: A Natural Disaster Use-case Task at MediaEval 2021

In MediaEval 2021. Ceurws, 2021.
Status: Published
S. Hicks, A. Stautland, O. B. Fasmer, W. Frøland, H. L. Hammer, P. Halvorsen, K. Mjeldheim, K. J. Oedegaard, B. Osnes, V. E. G. Syrstad et al.

HYPERAKTIV: An Activity Dataset from Patients with Attention-Deficit/Hyperactivity Disorder (ADHD)

In Proceedings of the 12th ACM Multimedia Systems Conference (MMSys '21). ACM, 2021.
Status: Published
S. Hicks, D. Jha, V. Thambawita, H. L. Hammer, T. de Lange, S. Parasa, M. Riegler and P. Halvorsen

Medico Multimedia Task at MediaEval 2021: Transparency in Medical Image Segmentation

In Mediaeval Medico 2021. Mediaeval 2021, 2021.
Status: Published