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P. Salehi, S. Z. Hassan, M. Lammerse, S. S. Sabet, I. Riiser, R. K. Røed, M. S. Johnson, V. Thambawita, S. Hicks, M. Powell et al.

Synthesizing a Talking Child Avatar to Train Interviewers Working with Maltreated Children

Big Data and Cognitive Computing 6, no. 2 (2022): 62.
Journal Article
2022
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G. A. Baugerud, M. S. Johnson, R. K. Røed, M. E. Lamb, M. Powell, V. Thambawita, S. Hicks, P. Salehi, S. Z. Hassan, P. Halvorsen et al.

Multimodal Virtual Avatars for Investigative Interviews with Children

In Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval (ICDAR '21). New York, NY, USA: ACM, 2021.
Proceedings, refereed
2021
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O. A. N. Rongved, S. Hicks, V. Thambawita, H. K. Stensland, E. Zouganeli, D. Johansen, C. Midoglu, M. Riegler and P. Halvorsen

Using 3D Convolutional Neural Networks for Real-time Detection of Soccer Events

International Journal of Semantic Computing 15, no. 2 (2021): 161-187.
Journal Article
2021
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I. Strümke, S. Hicks, V. Thambawita, D. Jha, S. Parasa, M. Riegler and P. Halvorsen

Artificial Intelligence in Gastroenterology

In Artificial Intelligence in Medicine, 1-20. Cham: Springer International Publishing, 2021.
Book Chapter
2021
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19 April 2021

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

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2018

Proceedings, refereed

S. Hicks, M. Riegler, K. Pogorelov, T. de Lange, K. R. Randel, K. V. Ånonsen, M. Jeppsson, P. Halvorsen and S. L. Eskeland

Dissecting Deep Neural Networks for Better Medical Image Classification and Classification Understanding

In 31st IEEE CBMS International Symposium on Computer-Based Medical Systems. Karlstad, Sweden: IEEE, 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
S. Hicks, M. Lux, T. de Lange, K. R. Randel, M. Jeppsson, K. Pogorelov, P. Halvorsen and M. Riegler

Mimir: An Automatic Reporting and Reasoning System for Deep Learning based Analysis in the Medical Domain

In Proceedings of the 9th ACM Multimedia Systems Conference. Amsterdam, Netherlands: ACM, 2018.
Status: Published
M. Jeppsson, H. Espeland, T. Kupka, R. Langseth, A. Petlund, P. Qiaoqiao, C. Xue, K. Pogorelov, M. Riegler, D. Johansen et al.

Efficient Live and on-Demand Tiled HEVC 360 VR Video Streaming

In 2018 IEEE International Symposium on Multimedia (ISM). Taichung, Taiwan: IEEE, 2018.
Status: Published
M. Lux, M. Riegler, D. Dang-Nguyen, M. Larson, M. Potthast and P. Halvorsen

GameStory Task at MediaEval 2018

In Proceeding of the MediaEval Benchmarking Initiative for Multimedia Evaluation. CEUR Workshop Proceedings, 2018.
Status: Published
J. Markussen, L. B. Kristiansen, H. K. Stensland, F. Seifert, C. Griwodz and P. Halvorsen

Flexible Device Sharing in PCIe Clusters using Device Lending

In International Conference on Parallel Processing Companion (ICPP'18 Comp). ACM, 2018.
Status: Published
O. Ostroukhova, K. Pogorelov, M. Riegler, D. Dang-Nguyen and P. Halvorsen

Transfer learning with prioritized classification and training dataset equalization for medical objects detection

In Working Notes Proceedings of the MediaEval 2018 Workshop. CEUR Workshop Proceedings, 2018.
Status: Published
K. Pogorelov, Z. Albisser, O. Ostroukhova, M. Lux, D. Johansen, P. Halvorsen and M. Riegler

OpenSea - Open Search Based Classification Tool

In Proceedings of the 9th ACM Multimedia Systems Conference. Amsterdam, Netherlands: ACM, 2018.
Status: Published
K. Pogorelov, O. Ostroukhova, A. Petlund, P. Halvorsen, T. de Lange, H. Espeland, T. Kupka, C. Griwodz and M. Riegler

Deep Learning and Handcrafted Feature Based Approaches for Automatic Detection of Angiectasia

In 2018 IEEE Conference on Biomedical and Health Informatics (BHI). IEEE, 2018.
Status: Published
K. Pogorelov, O. Ostroukhova, M. Jeppsson, H. Espeland, C. Griwodz, T. de Lange, D. Johansen, M. Riegler and P. Halvorsen

Deep Learning and Hand-crafted Feature Based Approaches for Polyp Detection in Medical Videos

In 31st IEEE CBMS International Symposium on Computer-Based Medical Systems. Karlstad, Sweden: IEEE, 2018.
Status: Published