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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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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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2023

Proceedings, refereed

A. Storås, M. Magnø, F. Fineide, B. Thiede, X. Chen, I. Strümke, P. Halvorsen, T. Utheim and M. Riegler

Identifying Important Proteins in Meibomian Gland Dysfunction with Explainable Artificial Intelligence

In IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS2023), 2023.
Status: Accepted
2018

Journal articles

K. Ahmad, K. Pogorelov, M. Riegler, N. Conci and P. Halvorsen

Social Media and Satellites. Disaster event detection, linking and summarization

Multimedia Tools and Applications 78, no. 3 (2018): 2837-2875.
Status: Published
S. A. Pettersen, H. D. Johansen, I. A. M. Baptista, P. Halvorsen and D. Johansen

Quantified Soccer Using Positional Data: A Case Study

Frontiers in Physiology 9 (2018): 866.
Status: Published
M. Soleymani, M. Riegler and P. Halvorsen

Multimodal analysis of user behavior and browsed content under different image search intents

International Journal of Multimedia Information Retrieval 7 (2018): 29-41.
Status: Published
T. de Lange, P. Halvorsen and M. Riegler

Methodology to develop machine learning algorithms to improve performance in gastrointestinal endoscopy

World Journal of Gastroenterology 45, no. 24 (2018): 5057-5062.
Status: Published

Proceedings, refereed

T. J. D. Berstad, M. Riegler, H. Espeland, T. de Lange, P. H. Smedsrud, K. Pogorelov, H. K. Stensland and P. Halvorsen

Tradeoffs using Binary and Multiclass Neural Network Classification for Medical Multidisease Detection

In 2018 IEEE International Symposium on Multimedia (ISM). IEEE, 2018.
Status: Published
R. Borgli, P. Halvorsen and M. Riegler

Automatic Hyperparameter Optimization in Keras for the MediaEval 2018 Medico Multimedia Task

In Working Notes Proceedings of the MediaEval 2018 Workshop. CEUR Workshop Proceedings (CEUR-WS.org), 2018.
Status: Published
C. Griwodz, L. Calvet and P. Halvorsen

Popsift: a faithful SIFT implementation for real-time applications

In Proceedings of the 9th ACM Multimedia Systems Conference. New York, NY, USA: ACM Press, 2018.
Status: Published
S. Hicks, P. H. Smedsrud, P. Halvorsen and M. Riegler

Deep Learning Based Disease Detection Using Domain Specific Transfer Learning

In MediaEval 2018. MediaEval, 2018.
Status: Published
S. Hicks, K. Pogorelov, M. Lux, M. Jeppsson, K. R. Randel, T. de Lange, S. L. Eskeland, P. Halvorsen and M. Riegler

Comprehensible Reasoning and Automated Reporting of Medical Examinations Based on Deep Learning Analysis

In Proceedings of the 9th ACM Multimedia Systems Conference. Amsterdam, Netherlands: ACM, 2018.
Status: Published