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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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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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News

19 April 2021

New tool and guide on evaluation metrics for medical applications of AI

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Several courses within Machine Learning and programming

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2014

Proceedings, refereed

M. Riegler, R. Eg, M. Lux and M. Schicho

Mobile Picture Guess: A Crowdsourced Serious Game for Simulating Human Perception

In Proceedings of the International Workshop on Social Media for Crowdsourcing and Human Computation. Springer, 2014.
Status: Published
M. Riegler, P. N. Olsen and P. Halvorsen

Work Like a Bee -Taking Advantage of Diligent Crowdsourcing Workers

In MediaEval 2014 Workshop, Barcelona, Catalunya, Spain. Barcelona, Catalonia/Spain: CEUR Workshop Proceedings, 2014.
Status: Published
M. Riegler, M. Lux, C. Zellot, L. Knoch, H. Schnattler, S. Napetschnig, J. Kogler, C. Degendorfer, N. Spot and M. Zoderer

Gone: An Interactive Experience for Two People

In MM '14: Proceedings of the ACM International Conference on Multimedia. New York, NY, USA: ACM, 2014.
Status: Published
M. Riegler, M. Lux and C. Kofler

How 'How' Reflects What's What: Content-based Exploitation of How Users Frame Social Images

In MM '14: Proceedings of the ACM International Conference on Multimedia. New York, NY, USA: ACM, 2014.
Status: Published
M. Riegler, M. Lux, V. Charvillat, A. Carlier and R. Vliegendhart

VideoJot: A Multifunctional Video Annotation Tool

In ICMR '14: Proceedings of International Conference on Multimedia Retrieval. New York, NY, USA: ACM, 2014.
Status: Published
M. Zaharieva, M. Riegler and M. Del Fabro

Multimodal Synchronization of Image Galleries

In MediaEval 2014 Workshop, Barcelona, Catalunya, Spain. Barcelona: CEUR Workshop Proceedings, 2014.
Status: Published