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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

19 April 2021

Winner of the 3rd International Endoscopy Computer Vision Challenge (EndoCV)

Courses held

Several courses within Machine Learning and programming

Available Master's topics

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2022

Journal articles

W. Tavanapong, J. Oh, M. Riegler, M. I. Khaleel, B. Mitta and P. C. De Groen

Artificial Intelligence for Colonoscopy: Past, Present, and Future

IEEE Journal of Biomedical and Health Informatics 26, no. 8 (2022): 3950-3965.
Status: Published
V. Thambawita, P. Salehi, S. A. Sheshkal, S. Hicks, H. L. Hammer, S. Parasa, T. de Lange, P. Halvorsen and M. Riegler

SinGAN-Seg: Synthetic training data generation for medical image segmentation

PLOS ONE 17, no. 5 (2022): e0267976.
Status: Published
V. Thambawita, S. Hicks, A. Storås, O. Witczak, J. M. Andersen, H. L. Hammer, P. Halvorsen, M. Riegler and H. B. Trine

Real-time deep learning based multi object tracking of spermatozoa in fresh samples

Human Reproduction 37, no. Supplement_1, July 2022, deac107.104 (2022).
Status: Published
N. K. Tomar, D. Jha, M. Riegler, H. D. Johansen, D. Johansen, J. Rittscher, P. Halvorsen and S. Ali

FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation

IEEE Transactions on Neural Networks and Learning Systems (2022): 1-14.
Status: Published

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
A. Chatterjee, A. Prinz and M. Riegler

Prediction Modeling in Activity eCoaching for Tailored Recommendation Generation: A Conceptualization

In International Symposium on Medical Measurements and Applications (MeMeA). IEEE, 2022.
Status: Published
A. Chatterjee, N. Pahari, M. Riegler and A. Prinz

LSTM Step Prediction and Ontology-Based Recommendation Generation in Activity eCoaching

In 2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). Greece: IEEE, 2022.
Status: Published
S. Z. Hassan, P. Salehi, R. K. Røed, P. Halvorsen, G. A. Baugerud, M. S. Johnson, P. Lison, M. Riegler, M. E. Lamb, C. Griwodz et al.

Towards an AI-driven talking avatar in virtual reality for investigative interviews of children

In GameSys '22: Proceedings of the 2nd Workshop on Games Systems. New York, NY, USA: ACM, 2022.
Status: Published
M. Dao, M. Riegler, D. Dang-Nguyen, C. Gurrin, Y. Nakashima and M. Dong

ICDAR’22: Intelligent Cross-Data Analysis and Retrieval

In 2022 International Conference on Multimedia Retrieval. 2022, Newark, NJ, USA: ACM, 2022.
Status: Published
P. Salehi, S. Z. Hassan, S. S. Sabet, G. A. Baugerud, M. S. Johnson, P. Halvorsen and M. Riegler

Is More Realistic Better? A Comparison of Game Engine and GAN-based Avatars for Investigative Interviews of Children

In ICDAR '22: Proceedings of the 3rd ACM Workshop on Intelligent Cross-Data Analysis and Retrieval. New York, NY, USA: ACM, 2022.
Status: Published