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K. Pogorelov

DeepEIR: A Holistic Medical Multimedia System for Gastrointestinal Tract Disease Detection and Localization

In The University of Oslo. Vol. PhD. Department of Informatics, University of Oslo, 2019.
PhD Thesis
2019
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K. Ahmad, K. Pogorelov, M. Ullah, M. Riegler, N. Conci, J. Langguth and A. Al-Fuqaha

Multi-Modal Machine Learning for Flood Detection in News, Social Media and Satellite Sequences

In Multimediaeval Benchmark 2019. CEUR Workshop Proceedings, 2019.
Proceedings, refereed
2019
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N. Said, K. Ahmad, M. Riegler, K. Pogorelov, L. Hassan, N. Ahmad and N. Conci

Natural disasters detection in social media and satellite imagery: a survey

Multimedia Tools and Applications 78, no. 22 (2019): 31267-31302.
Journal Article
2019
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B. Bischke, P. Helber, S. Brugman, E. Basar, Z. Zhao, M. Larson and K. Pogorelov

The Multimedia Satellite Task at MediaEval 2019: Estimation of Flood Severity

In MediaEval. CEUR Workshop Proceedings, 2019.
Proceedings, refereed
2019
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2019

Proceedings, refereed

S. Hicks, P. Halvorsen, T. B. Haugen, J. M. Andersen, O. Witczak, K. Pogorelov, H. L. Hammer, D. Dang-Nguyen, M. Lux and M. Riegler

Medico Multimedia Task at MediaEval 2019

In MediaEval. CEUR Workshop Proceedings, 2019.
Status: Published
D. T. Schroeder, K. Pogorelov and J. Langguth

FACT: a Framework for Analysis and Capture of Twitter Graphs

In The Sixth IEEE International Conference on Social Networks Analysis, Management and Security (SNAMS-2019) . IEEE, 2019.
Status: Published

PhD theses

K. Pogorelov

DeepEIR: A Holistic Medical Multimedia System for Gastrointestinal Tract Disease Detection and Localization

In The University of Oslo. Vol. PhD. Department of Informatics, University of Oslo, 2019.
Status: Published

Posters

R. Borgli, K. Pogorelov, M. Riegler, J. Markussen, H. K. Stensland, P. Halvorsen, C. Griwodz and S. L. Eskeland

Efficient Processing of Medical Videos in a Multi-auditory Environment Using Gpu Lending

NVIDIA's GPU Technology Conference (GTC), 2019.
Status: Published
2017

Journal articles

J. Bernal, N. Tajbakhsh, J. F Sanchez, B. J. Matuszewski, H. Chen, L. Yu, Q. Angermann, O. Romain, B. Rustad, I. Balasingham et al.

Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results from the MICCAI 2015 Endoscopic Vision Challenge

IEEE Transactions on Medical Imaging (2017): 1-19.
Status: Published
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, 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
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