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2020
1 Jha, Debesh; Pia H, Smedsrud; Riegler, Michael; Halvorsen, Pål; de Lange, Thomas; Johansen, Dag; Johansen, Håvard D..
Kvasir-SEG: A Segmented Polyp Dataset. MMM 2020: International Conference on Multimedia Modeling; 2020-01-05 - 2020-01-08
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2 Jha, Debesh; Pia H, Smedsrud; Riegler, Michael; Halvorsen, Pål; de Lange, Thomas; Johansen, Dag; Johansen, Håvard D..
Kvasir-SEG: A Segmented Polyp Dataset. Lecture Notes in Computer Science (LNCS) 2020 ;Volum 11962. s. 451-462
HK OSLOMET OUS UiO UiT Untitled
 
2019
3 Andreassen, Kim Hartvedt; Johansen, Dag; Johansen, Håvard D.; Matias Do Vale Baptista, Ivan Andre; Pettersen, Svein Arne; Riegler, Micheal; Halvorsen, Pål.
Real-time Analysis of Physical Performance Parameters in Elite Soccer. I: Proceedings of Content Based Multimedia Information (CBMI 2019). IEEE conference proceedings 2019 ISBN 978-1-7281-4673-7.
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4 Andreassen, Kim; Johansen, Dag; Johansen, Håvard D.; Baptista, Ivan; Pettersen, Svein Arne; Riegler, Micheal; Halvorsen, Pål.
Real-time Analysis of Physical Performance Parameters in Elite Soccer. CBMI 2019: International Conference on Content-Based Multimedia Indexing; 2019-09-04 - 2019-09-06
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5 Gjerdrum, Anders Tungeland; Johansen, Dag; Johansen, Håvard D..
BoronBase: A mutually distrusting clique-partitioned database implemented in Intel SGX. Corpore Sano Workshop 2019; 2019-04-09 - 2019-04-09
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6 Henriksen, Fredrik Lund; Jensen, Rune; Stensland, Håkon Kvale; Johansen, Dag; Riegler, Michael; Halvorsen, Pål.
Performance of data enhancements and training optimization for neural network: A polyp detection case study. Computer-Based Medical Systems 2019 ;Volum 2019-June. s. 287-293
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7 Jeppsson, Mattis; Espeland, Håvard; Kupka, Tomas; Langseth, Ragnar; Petlund, Andreas; Peng, Qiaoqiao; Xue, Chuansong; Johansen, Dag; Pogorelov, Konstantin; Stensland, Håkon Kvale; Griwodz, Carsten; Riegler, Michael; Halvorsen, Pål.
Efficient live and on-demand tiled HEVC 360 VR video streaming. International Journal of Semantic Computing (IJSC) 2019 ;Volum 13.(3) s. 367-391
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8 Jha, Debesh; Smedsrud, Pia; Riegler, Michael; Johansen, Dag; de Lange, Thomas; Halvorsen, Pål; Johansen, Håvard D..
ResUNet++: An Advanced Architecture for Medical Image Segmentation. 21st IEEE International Symposium on ​ Multimedia; 2019-12-09 - 2019-12-11
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9 Jha, Debesh; Smedsrud, Pia; Riegler, Michael; Johansen, Dag; de Lange, Thomas; Halvorsen, Pål; Johansen, Håvard D..
ResUNet++: An Advanced Architecture for Medical Image Segmentation. I: Proceedings of the 2019 IEEE International Symposium on Multimedia ISM 2019. IEEE Computer Society Digital Library 2019 ISBN 978-1-7281-5606-4. s. 225-
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10 Johansen, Dag.
Corporō Sano, Towards Next-generation Enterprise Systems. Corpore Sano Workshop 2019; 2019-04-09 - 2019-04-09
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11 Johansen, Dag; Valakari, Simo; Pedersen, Morten Gamst; Wangberg, Simen; Pettersen, Svein Arne; Henriksen, Lise Lotte; Strømsvold, Julie.
Teknologi hjelper TIL å forutse skader. uit.no [Internett] 2019-05-19
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12 Matias Do Vale Baptista, Ivan Andre; Johansen, Dag; Figueiredo, Pedro; Rebelo, Antonio; Pettersen, Svein Arne.
A comparison of match-physical demands between different tactical systems: 1-4-5-1 vs 1-3-5-2. PLOS ONE 2019 ;Volum 14.(4) s. 1-12
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13 Matias Do Vale Baptista, Ivan Andre; Johansen, Dag; Figueiredo, Pedro; Rebelo, Antonio; Pettersen, Svein Arne.
Positional Differences in Peak- and Accumulated- Training Load Relative to Match Load in Elite Football. Sports 2019
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14 Matias Do Vale Baptista, Ivan Andre; Johansen, Dag; Figueiredo, Pedro; Rebelo, Antonio; Pettersen, Svein Arne.
Positional Differences in Peak- and Accumulated- Training Load Relative to Match Load in Elite Football. Sports 2019 ;Volum 8.(1) s. -
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15 Nordskog, Aanund Jupskaas; Halvorsen, Pål; Hicks, Steven; Stensland, Haakon; Hammer, Hugo Lewi; Johansen, Dag; Riegler, Michael.
Semantic Analysis of Soccer News for Automatic Game Event Classification. CBMI 2019: International Conference on Content-Based Multimedia Indexing; 2019-09-04 - 2019-09-06
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16 Nordskog, Aanund Jupskaas; Halvorsen, Pål; Hicks, Steven; Stensland, Haakon; Hammer, Hugo Lewi; Johansen, Dag; Riegler, Michael.
Semantic Analysis of Soccer News for Automatic Game Event Classification. I: Proceedings of Content Based Multimedia Information (CBMI 2019). IEEE conference proceedings 2019 ISBN 978-1-7281-4673-7.
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17 Pedersen, Sigurd; Heitmann, Kim Arne; Sagelv, Edvard Hamnvik; Johansen, Dag; Pettersen, Svein Arne.
Improved maximal strength is notassociated with improvements in sprinttime or jump height in high-level femalefootball players: a clusterrendomizedcontrolled trial. BMC sports science, medicine and rehabilitation 2019 ;Volum 11.(20) s. -
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18 Pedersen, Sigurd; Pettersen, Svein Arne; Johansen, Dag; Sagelv, Edvard Hamnvik; Heitmann, Kim Arne.
EFFECTS OF MAXIMAL STRENGTH TRAINING IN FEMALE FOOTBALL PLAYERS. World Congress on Science and Football; 2019-06-06 - 2019-06-06
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19 Robertsen, Kjetil; Andreassen, Geir; Johansen, Dag; Sæbbe, Linda Vaeng.
Bedriften har 100 millioner i banken, nyansatt sjef og et "festlig" lokale: Men, hva de skal gjøre er ikke godt å si. Nordlys (papir / plus) [Avis] 2019-05-25
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20 Tedeschi, Enrico; Nordmo, Tor-Arne Schmidt; Johansen, Dag; Johansen, Håvard D..
Predicting Transaction Latency with Deep Learning in Proof-of-Work Blockchains. TEMP 2017 IEEE International Conference on Big Data (Big Data) 2019
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21 Wiik, Theodor; Johansen, Håvard D.; Pettersen, Svein Arne; Baptista, Ivan; Kupka, Tomas; Johansen, Dag; Riegler, Michael; Halvorsen, Pål.
Predicting Peek Readiness-to-Train of Soccer Players Using Long Short-Term Memory Recurrent Neural Networks. CBMI 2019: International Conference on Content-Based Multimedia Indexing; 2019-09-04 - 2019-09-06
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22 Wiik, Theodor; Johansen, Håvard D.; Pettersen, Svein Arne; Matias Do Vale Baptista, Ivan Andre; Kupka, Tomas; Johansen, Dag; Riegler, Michael; Halvorsen, Pål.
Predicting peek readiness-to-train of soccer players using long short-term memory recurrent neural networks. I: Proceedings of Content Based Multimedia Information (CBMI 2019). IEEE conference proceedings 2019 ISBN 978-1-7281-4673-7. s. -
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2018
23 Birrell, Eleanor; Gjerdrum, Anders Tungeland; Van Renesse, Robbert; Johansen, Håvard D.; Johansen, Dag; Schneider, Fred B..
SGX Enforcement of Use-Based Privacy. I: Proceedings of the 2018 Workshop on Privacy in the Electronic Society. Association for Computing Machinery (ACM) 2018 ISBN 978-1-4503-5989-4. s. 155-167
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24 Birrell, Eleanor; Gjerdrum, Anders Tungeland; Van Renesse, Robbert; Johansen, Håvard D.; Johansen, Dag; Schneider, Fred B..
SGX Enforcement of Use-Based Privacy. 2018 Workshop on Privacy in the Electronic Society; 2018-10-15 - 2018-10-15
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25 Brenna, Lars; Johansen, Håvard D.; Johansen, Dag.
Automatic methods for nutritional assessment. First International Conference on Precision Nutrition and Metabolism in Public Health and Medicine; 2018-09-21 - 2018-09-26
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26 Gaddam, Vamsidhar Reddy; Langseth, Ragnar; Stensland, Håkon Kvale; Griwodz, Carsten; Riegler, Michael; Kupka, Tomas; Espeland, Håvard; Johansen, Dag; Johansen, Håvard D.; Halvorsen, Pål.
Camera Synchronization for Panoramic Videos. I: MediaSync: Handbook on Multimedia Synchronization. Springer 2018 ISBN 978-3-319-65840-7. s. 565-592
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27 Gjerdrum, Anders Tungeland; Pettersen, Robert; Johansen, Håvard D.; Johansen, Dag.
Performance principles for trusted computing with intel SGX. Communications in Computer and Information Science 2018 ;Volum 864. s. 1-18
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28 Hicks, Steven Alexander; Riegler, Michael; Pogorelov, Konstantin; Ånonsen, Kim Vidar; de Lange, Thomas; Johansen, Dag; Jeppsson, Mattis; Randel, Kristin Ranheim; Eskeland, Sigrun Losada; Halvorsen, Pål.
Dissecting Deep Neural Networksfor Better Medical Image Classification andClassification Understanding. 31st IEEE CBMS International Symposium on Computer-Based Medical Systems; 2018-06-18 - 2018-06-21
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29 Hicks, Steven; Riegler, Michael; Pogorelov, Konstantin; Ånonsen, Kim Vidar; de Lange, Thomas; Johansen, Dag; Jeppsson, Mattis; Randel, Kristin Ranheim; Eskeland, Sigrun Losada; Halvorsen, Pål.
Dissecting deep neural networks for better medical image classification and classification understanding. IEEE International Symposium on Computer-Based Medical Systems 2018 s. 363-368
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30 Jeppsson, Mattis; Espeland, Håvard; Kupka, Tomas; Langseth, Ragnar; Petlund, Andreas; Qiaoqiao, Peng; Xue, Chuansong; Pogorelov, Konstantin; Riegler, Michael; Johansen, Dag; Griwodz, Carsten; Halvorsen, Pål.
Efficient Live and on-Demand Tiled HEVC 360 VR Video Streaming. I: 2018 IEEE International Symposium on Multimedia (ISM). IEEE 2018 ISBN 978-1-5386-6857-3. s. 81-88
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31 Jha, Debesh; Thambawita, Vajira; Pogorelov, Konstantin; Riegler, Michael; Halvorsen, Pål; Johansen, Håvard D.; Johansen, Dag.
Automatic Disease Detection in Videos Recorded in the Gastrointestinal Tract. SATIS 2018: The 1st ACM SIGOPS Summer School on Advanced Topics in Systems; 2018-08-14 - 2018-08-17
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32 Johansen, Dag.
Distributed Computing: External Simplicity, Internal Complexity. The 1st ACM SIGOPS Summer School on Advanced Topics in Systems; 2018-08-14 - 2018-08-17
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33 Lande, Frank; Johansen, Dag; Johansen, Ronald.
IT-professor: – Svært vanskelig for politiet å avsløre. iTromsø Pluss [Internett] 2018-03-28
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34 Matias Do Vale Baptista, Ivan Andre; Johansen, Dag; Seabra, Andre; Pettersen, Svein Arne.
Position specific player load during match-play in a professional football club. PLOS ONE 2018 ;Volum 13.(5) s. -
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35 Nordmo, Tor-Arne Schmidt; Pettersen, Robert; Johansen, Dag.
Arctic HARE - Poster. SATIS; 2018-08-14 - 2018-08-17
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36 Pettersen, Svein Arne; Johansen, Håvard D.; Matias Do Vale Baptista, Ivan Andre; Halvorsen, Pål; Johansen, Dag.
Quantified Soccer Using Positional Data: A Case Study. Frontiers in Physiology 2018 ;Volum 9.
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37 Pogorelov, Konstantin; Albisser, Zeno; Ostroukhova, Olga; Lux, Mathias; Johansen, Dag; Halvorsen, Pål; Riegler, Michael.
Opensea: Open Search Based Classification Tool. 9th ACM Multimedia Systems Conference; 2018-06-12 - 2018-06-15
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38 Pogorelov, Konstantin; Albisser, Zeno; Ostroukhova, Olga; Lux, Mathias; Johansen, Dag; Halvorsen, Pål; Riegler, Michael.
Opensea: open search based classification tool. I: MMSys '18: Proceedings of the 9th ACM Multimedia Systems Conference. Association for Computing Machinery (ACM) 2018 ISBN 978-1-4503-5192-8. s. 363-368
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39 Pogorelov, Konstantin; Ostroukhova, Olga; Jeppsson, Mattis; Espeland, Håvard; Griwodz, Carsten; de Lange, Thomas; Johansen, Dag; Riegler, Michael; Halvorsen, Pål.
Deep Learning and Hand-Crafted Feature Based Approaches for Polyp Detection in Medical Videos. 31st IEEE CBMS International Symposium on Computer-Based Medical Systems; 2018-06-18 - 2018-06-21
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40 Pogorelov, Konstantin; Ostroukhova, Olga; Jeppsson, Mattis; Espeland, Håvard; Griwodz, Carsten; de Lange, Thomas; Johansen, Dag; Riegler, Michael; Halvorsen, Pål.
Deep learning and hand-crafted feature based approaches for polyp detection in medical videos. IEEE International Symposium on Computer-Based Medical Systems 2018 s. 381-386
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41 Strømsvold, Julie; Johansen, Dag; Nergård, Vegard.
US ambassador visits UiT. uit.no [Internett] 2018-12-04
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42 Tedeschi, Enrico; Johansen, Håvard D.; Johansen, Dag.
Trading Network Performance for Cash in the Bitcoin Blockchain. I: Proceedings of the 8th International Conference on Cloud Computing and Services Science. SciTePress 2018 ISBN 978-989-758-295-0. s. 643-650
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43 Tedeschi, Enrico; Johansen, Håvard D.; Johansen, Dag.
Trading Network Performance for Cash in the Bitcoin Blockchain. The 8th International Conference on Cloud Computing and Services Science, CLOSER 2018; 2018-03-19 - 2018-03-21
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44 Thambawita, Vajira; Jha, Debesh; Riegler, Michael; Halvorsen, Pål; Hammer, Hugo Lewi; Johansen, Håvard D.; Johansen, Dag.
The Medico-Task 2018: Disease Detection in the Gastrointestinal Tract using Global Features and Deep Learning. Cornell: MediaEval 2018, arXiv:1810.13278, Cornell University 2018 3 s.
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45 Vajira, Lasantha Bandara Thambawita; Jha, Debesh; Riegler, Michael; Halvorsen, Pål; Hammer, Hugo Lewi; Johansen, Håvard D.; Johansen, Dag.
The Medico-Task 2018: Disease detection in the gastrointestinal tract using global features and deep learning. CEUR Workshop Proceedings 2018 ;Volum 2283.
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2017
46 Birrell, Eleanor; Gjerdrum, Anders Tungeland; Johansen, Håvard D.; Johansen, Dag; Renesse, Robbert van; Schneider, Fred B..
SGX Enforcement of Use-­Based Privacy. The 2nd International Workshop on Personal Data Systems (PDS 2018); 2017-08-16 - 2017-08-17
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47 Eskeland, Sigrun Losada; Aabakken, Lars; Riegler, Michael; Schmidt, Peter Thelin; Johansen, Dag; Halvorsen, Pål; de Lange, Thomas.
EIR: Changing the scene of automatic detection software for gastrointestinal endoscopy. ENDO 2017 World Congress of GI Endoscopy; 2017-02-16 - 2017-02-19
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48 Gjerdrum, Anders Tungeland; Johansen, Håvard D.; Pettersen, Robert; Renesse, Robbert van; Johansen, Dag.
Safeguarding Analytics on Privacy Sensitive Data. The 2nd International Workshop on Personal Data Systems (PDS 2018); 2017-08-16 - 2017-08-17
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49 Gjerdrum, Anders Tungeland; Pettersen, Robert; Johansen, Håvard D.; Johansen, Dag.
Performance of Trusted Computing in Cloud Infrastructures with Intel SGX. I: Proceedings of the 7th International Conference on Cloud Computing and Services Science - CLOSER 2017. SciTePress 2017 ISBN 978-989-758-243-1. s. 668-674
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50 Gjerdrum, Anders Tungeland; Pettersen, Robert; Johansen, Håvard D.; Johansen, Dag.
Performance of Trusted Computing in Cloud Infrastructures with Intel SGX. CLOSER 2017 - The 7th International Conference on Cloud Computing and Services Science; 2017-04-24 - 2017-04-26
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