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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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30 October 2019
People

Konstantin Pogorelov successfully defended his PhD

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

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2022

Book chapters

V. Thambawita, S. Hicks, E. Jaouen, P. Halvorsen and M. Riegler

Smittestopp analytics: Analysis of position data

In Smittestopp − A Case Study on Digital Contact Tracing, 63-79. Vol. 11. Cham: Springer International Publishing, 2022.
Status: Published

Talks, keynote

P. Halvorsen

From a need, to an idea, to a complete system: a perspective based on real-world applications

In IEEE/ACM International Symposium on Quality of Service (virtual). IEEE, 2022.
Status: Published

Posters

A. Husa, C. Midoglu and P. Halvorsen

Automatic Thumbnail Selection for Soccer using Machine Learning

NORA Annual Conference, Stavanger, Norway, 2022.
Status: Accepted
A. Storås, M. Riegler, P. Halvorsen, A. Åsberg and I. Strümke

Predicting drug exposure in kidney transplanted patients using machine learning

NORA Annual Conference, Stavanger, Norway, 2022.
Status: Published

Talks, invited

N. Ragab, C. Midoglu and P. Halvorsen

Soccer Athlete Performance Prediction using Time Series Analysis

In NORA Annual Conference, 2022.
Status: Accepted
A. Storås, I. Strümke, M. Riegler and P. Halvorsen

Explainable Artificial Intelligence in Medicine

In Nordic AI Meet 2022, 2022.
Status: Accepted

Miscellaneous

S. Aneja, C. Midoglu, D. Dang-Nguyen, S. Khan, M. Riegler, P. Halvorsen, C. Bregler and B. Adsumilli

ACM Multimedia Grand Challenge on Detecting Cheapfakes

ACM Multimedia Conference (MM): ACM, 2022.
Status: Published
S. Hicks, A. Storås, M. Riegler, C. Midoglu, M. Hammou, T. de Lange, S. Parasa, P. Halvorsen and I. Strümke

Visual explanations for polyp detection: How medical doctors assess intrinsic versus extrinsic explanations

arXiv, 2022.
Status: Published
C. Midoglu, S. Hicks, V. Thambawita, T. Kupka and P. Halvorsen

MMSys'22 Grand Challenge on AI-based Video Production for Soccer

arXiv, 2022.
Status: Published
2021
M. Boeker, M. Riegler, H. L. Hammer, P. Halvorsen, O. B. Fasmer and P. Jakobsen

Diagnosing Schizophrenia from Activity Records using Hidden Markov Model Parameters

In 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS)2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS). Aveiro, Portugal: IEEE, 2021.
Status: Published