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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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19 April 2021

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

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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
2017

Journal articles

K. Pogorelov, M. Riegler, S. L. Eskeland, T. de Lange, D. Johansen, C. Griwodz, P. T. Schmidt and P. Halvorsen

Efficient disease detection in gastrointestinal videos – global features versus neural networks

Multimedia Tools and Applications 76, no. 21 (2017): 22493-22525.
Status: Published
M. Riegler, K. Pogorelov, S. L. Eskeland, P. T. Schmidt, Z. Albisser, D. Johansen, C. Griwodz, P. Halvorsen and T. de Lange

From Annotation to Computer-Aided Diagnosis: Detailed Evaluation of a Medical Multimedia System

ACM Transactions on Multimedia Computing, Communications, and Applications 13, no. 3 (2017).
Status: Published

Proceedings, refereed

K. Ahmad, M. Riegler, K. Pogorelov, P. Halvorsen and F. De Natale

JORD: A System for Collecting Information and Monitoring Natural Disasters by Linking Social Media with Satellite Imagery

In Proceedings of the 15th International Workshop on Content-Based Multimedia Indexing - CBMI '17. New York, USA: ACM Press, 2017.
Status: Published
K. Ahmad, M. Riegler, A. Riaz, N. Conci, D. Dang-Nguyen and P. Halvorsen

The JORD System - Linking sky and social multimedia data to Natural and Technological Disasters

In ACM International Conference on Multimedia Retrieval. Bucharest: ACM, 2017.
Status: Published
K. Ahmad, K. Pogorelov, M. Riegler, N. Conci and P. Halvorsen

CNN and GAN Based Satellite and Social Media Data Fusion for Disaster Detection

In MediaEval Benchmark 2017. Dublin, Ireland: CEUR-WS.org, 2017.
Status: Published
I. Ahmed, M. Riegler, A. Petlund, C. Griwodz and P. Halvorsen

Finding equilibrium for gym ownership distribution based on game dynamics in Pokémon GO game

In ACM International Workshop on Massively Multiuser Virtual Environments. Taiwan: ACM, 2017.
Status: Published
S. L. Eskeland, L. Aabakken, M. Riegler, K. Pogorelov, P. T. Schmidt, D. Johansen and P. Halvorsen

EIR: changing the scene of automatic detection software for gastrointestinal endoscopy

In World Congress of GI Endoscopy. Hyderabad, India: World Endoscopic Organisation, 2017.
Status: Published
K. Schoeffmann, B. Münzer, M. Riegler and P. Halvorsen

Medical Multimedia Information Systems (MMIS)

In the 2017 ACMProceedings of the 2017 ACM on Multimedia Conference - MM '17. Mountain View, California, USANew York, New York, USA: ACM Press, 2017.
Status: Published
M. Lux, M. Riegler, P. Halvorsen and G. MacStravic

LireSolr - A Visual Information Retrieval Server

In ACM International Conference on Multimedia Retrieval. Bucharest: ACM, 2017.
Status: Published