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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 (2021).
Journal Article
2021
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J. Langguth, K. Pogorelov, S. Brenner, P. Filkukova and D. T. Schroeder

Manipulation of Visual Media in the Age of Deepfakes

Frontiers in Communication (2021).
Journal Article
2021
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D. T. Schroeder, F. Schaal, P. Filkukova, K. Pogorelov and J. Langguth

WICO Graph: a Labeled Dataset of Twitter Subgraphs based on Conspiracy Theory and 5G-Corona Misinformation Tweets

In The International Conference on Agents and Artificial Intelligence, 2021.
Proceedings, refereed
2021
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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.
Proceedings, refereed
2018
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30 October 2019
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Konstantin Pogorelov successfully defended his PhD

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2021

Journal articles

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 (2021).
Status: Published
J. Langguth, K. Pogorelov, S. Brenner, P. Filkukova and D. T. Schroeder

Manipulation of Visual Media in the Age of Deepfakes

Frontiers in Communication (2021).
Status: Accepted

Proceedings, refereed

D. T. Schroeder, F. Schaal, P. Filkukova, K. Pogorelov and J. Langguth

WICO Graph: a Labeled Dataset of Twitter Subgraphs based on Conspiracy Theory and 5G-Corona Misinformation Tweets

In The International Conference on Agents and Artificial Intelligence, 2021.
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
F. Murabito, C. Spampinato, S. Palazzo, D. Giordano, K. Pogorelov and M. Riegler

Top-Down Saliency Detection Driven by Visual Classification

Computer Vision and Image Understanding 172 (2018): 67-76.
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
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