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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.
Proceedings, refereed
2018
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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.
Proceedings, refereed
2018
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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.
Proceedings, refereed
2018
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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.
Proceedings, refereed
2018
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News

02 September 2016
Håvard Espeland (right), project leader for POPART, demonstrates the new technology. Photo: Simula/Christian Bjerke

Horizon2020 research project POPART crosses the finish line

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Export 6 results:
2018

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
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
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
2012

Proceedings, refereed

H. Espeland, P. N. Olsen, P. Halvorsen and C. Griwodz

Low-Level Scheduling Implications for Data-Intensive Cyclic Workloads on Modern Microarchitectures

In The 41st International Conference on Parallel Processing Workshops. IACC, 2012.
Status: Published
K. Raaen, H. Espeland, H. K. Stensland, A. Petlund, P. Halvorsen and C. Griwodz

LEARS: a Lockless, Relaxed-Atomicity State Model for Parallel Execution of a Game Server Partition

In The 41st International Conference on Parallel Processing Workshops. IACC, 2012.
Status: Published