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2010 – 2019
- 2019
[j1]Mattis Jeppsson, Håvard Nygaard Espeland, Tomas Kupka, Ragnar Langseth, Andreas Petlund, Peng Qiaoqiao, Chuansong Xue, Dag Johansen, Konstantin Pogorelov, Håkon Kvale Stensland, Carsten Griwodz, Michael Riegler, Pål Halvorsen:
Efficient Live and On-Demand Tiled HEVC 360 VR Video Streaming. Int. J. Semantic Comput. 13(3): 367-391 (2019)- 2018
- [c5]Steven Alexander Hicks, Michael Riegler, Konstantin Pogorelov, Kim V. Anonsen, Thomas de Lange
, Dag Johansen, Mattis Jeppsson, Kristin Ranheim Randel, Sigrun Losada Eskeland, Pål Halvorsen:
Dissecting Deep Neural Networks for Better Medical Image Classification and Classification Understanding. CBMS 2018: 363-368 - [c4]Konstantin Pogorelov, Olga Ostroukhova, Mattis Jeppsson, Håvard Espeland, Carsten Griwodz, Thomas de Lange, Dag Johansen, Michael Riegler, Pål Halvorsen:
Deep Learning and Hand-Crafted Feature Based Approaches for Polyp Detection in Medical Videos. CBMS 2018: 381-386 - [c3]Mattis Jeppsson, Håvard Espeland, Tomas Kupka, Ragnar Langseth, Andreas Petlund, Peng Qiaoqiao, Chuansong Xue, Konstantin Pogorelov, Michael Riegler, Dag Johansen, Carsten Griwodz, Pål Halvorsen:
Efficient Live and on-Demand Tiled HEVC 360 VR Video Streaming. ISM 2018: 81-88 - [c2]Steven Alexander Hicks, Sigrun Losada Eskeland, Mathias Lux, Thomas de Lange, Kristin Ranheim Randel, Mattis Jeppsson, Konstantin Pogorelov, Pål Halvorsen, Michael Riegler:
Mimir: an automatic reporting and reasoning system for deep learning based analysis in the medical domain. MMSys 2018: 369-374 - [c1]Steven Alexander Hicks, Konstantin Pogorelov, Thomas de Lange, Mathias Lux, Mattis Jeppsson, Kristin Ranheim Randel, Sigrun Losada Eskeland, Pål Halvorsen, Michael Riegler:
Comprehensible reasoning and automated reporting of medical examinations based on deep learning analysis. MMSys 2018: 490-493
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