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S. Dhandhania, A. Deodhar, K. Pogorelov, S. Biswas and J. Langguth

Explaining the Performance of Supervised and Semi-Supervised Methods for Automated Sparse Matrix Format Selection

In 50th International Conference on Parallel Processing Workshop. Chicago, Illinois, USA: ACM, 2021.
Proceedings, refereed
2021
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L. Burchard, J. Moe, D. T. Schroeder, K. Pogorelov and J. Langguth

iPUG: Accelerating Breadth-First Graph Traversals Using Manycore Graphcore IPUs

In High Performance Computing. ISC High Performance 2021. Vol. LNCS, volume 12728. Cham: Springer International Publishing, 2021.
Proceedings, refereed
2021
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K. Pogorelov, D. T. Schroeder, P. Filkukova, S. Brenner and J. Langguth

WICO Text: A Labeled Dataset of Conspiracy Theory and 5G-Corona Misinformation Tweets

In Proceedings of the 2021 Workshop on Open Challenges in Online Social Networks (OASIS '21). ACM, 2021.
Proceedings, refereed
2021
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D. Jha, S. Ali, S. Hicks, V. Thambawita, H. Borgli, P. H. Smedsrud, T. de Lange, K. Pogorelov, X. Wang, P. Harzig et al.

A comprehensive analysis of classification methods in gastrointestinal endoscopy imaging

Medical Image Analysis 70 (2021): 102007.
Journal Article
2021
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2018

Proceedings, refereed

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
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
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
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, 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, M. Riegler, P. Halvorsen, S. Hicks, K. R. Randel, D. Dang-Nguyen, M. Lux, O. Ostroukhova and T. de Lange

Medico Multimedia Task at MediaEval 2018

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

Deep learning approaches for flood classification and flood aftermath detection

In Working Notes Proceedings of the MediaEval 2018 Workshop. Vol. 2283. Sophia Antipolis, France: CEUR-WS.org, 2018.
Status: Published