Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Håvard Espeland"'
Autor:
Pia H. Smedsrud, Vajira Thambawita, Steven A. Hicks, Henrik Gjestang, Oda Olsen Nedrejord, Espen Næss, Hanna Borgli, Debesh Jha, Tor Jan Derek Berstad, Sigrun L. Eskeland, Mathias Lux, Håvard Espeland, Andreas Petlund, Duc Tien Dang Nguyen, Enrique Garcia-Ceja, Dag Johansen, Peter T. Schmidt, Ervin Toth, Hugo L. Hammer, Thomas de Lange, Michael A. Riegler, Pål Halvorsen
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-10 (2021)
Measurement(s) Gastrointestinal Tract • gastrointestinal system disease Technology Type(s) Capsule Endoscope • visual assessment of in vivo video recording Sample Characteristic - Organism Homo sapiens Sample Characteristic - Environment alimenta
Externí odkaz:
https://doaj.org/article/a87ce99b976f44c5949b4d3cc76acbe4
Autor:
Hanna Borgli, Steven Alexander Hicks, Thomas de Lange, Håvard Espeland, Pål Halvorsen, Oda Olsen Nedrejord, Enrique Garcia-Ceja, Sigrun Losada Eskeland, Andreas Petlund, Debesh Jha, Dag Johansen, Pia H. Smedsrud, Henrik L. Gjestang, Ervin Toth, Duc Tien Dang Nguyen, Michael Riegler, Hugo Lewi Hammer, Espen Naess, Vajira Thambawita, Tor Jan Derek Berstad, Peter T. Schmidt, Mathias Lux
Publikováno v:
Scientific Data
Scientific Data, Vol 8, Iss 1, Pp 1-10 (2021)
Scientific Data, Vol 8, Iss 1, Pp 1-10 (2021)
Artificial intelligence (AI) is predicted to have profound effects on the future of video capsule endoscopy (VCE) technology. The potential lies in improving anomaly detection while reducing manual labour. Existing work demonstrates the promising ben
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67f7e0926d3907543b4540bc18d32de6
https://hdl.handle.net/10037/21497
https://hdl.handle.net/10037/21497
Autor:
Pia H Smedsrud, Henrik L. Gjestang, Oda O. Nedrejord, Espen Næss, Vajira Thambawita, Steven Hicks, Hanna Borgli, Debesh Jha, Tor Jan Derek Berstad, Sigrun L. Eskeland, Mathias Lux, Håvard Espeland, Andreas Petlund, Duc-Tien Dang-Nguyen, Enrique Garcia-Ceja, Dag Johansen, Peter T. Schmidt, Hugo L. Hammer, Thomas de Lange, Michael Riegler, Pål Halvorsen
Artificial intelligence (AI) is predicted to have profound effects on the future of video capsule endoscopy (VCE) technology.The potential lies in improving anomaly detection while reducing manual labour. However, medical data is often sparse andunav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8670e95ef48fbbf740fb879c37eecea4
https://doi.org/10.31219/osf.io/gr7bn
https://doi.org/10.31219/osf.io/gr7bn
Autor:
Pål Halvorsen, Thomas de Lange, Michael Riegler, Håkon Kvale Stensland, Tor Jan Derek Berstad, Pia H. Smedsrud, Konstantin Pogorelov, Håvard Espeland
Publikováno v:
ISM
The interest in neural networks has increased significantly, and the application of this type of machine learning is vast, ranging from natural image classification to medical image segmentation. However, many users of neural networks tend to use the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a488f16f6f7e747c7811fb3806bc3d4c
https://doi.org/10.1109/ism.2018.00009
https://doi.org/10.1109/ism.2018.00009
Autor:
Thomas de Lange, Carsten Griwodz, Tomas Kupka, Michael Riegler, Andreas Petlund, Håvard Espeland, Olga Ostroukhova, Konstantin Pogorelov, Pål Halvorsen
Publikováno v:
BHI
Angiectasia, formerly called angiodysplasia, is one of the most frequent vascular lesions and often the cause of gastrointestinal bleedings. Medical specialists assessing videos or images of examinations reach a detection performance of 16% for the d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f47fd26f53c0cd5ffc6189d3777eac18
https://doi.org/10.1109/bhi.2018.8333444
https://doi.org/10.1109/bhi.2018.8333444
Autor:
Carsten Griwodz, Pål Halvorsen, Michael Riegler, Ragnar Langseth, Tomas Kupka, Dag Johansen, Håvard Espeland, Håkon Kvale Stensland, Vamsidhar Reddy Gaddam, Håvard D. Johansen
Publikováno v:
MediaSync ISBN: 9783319658391
MediaSync, Handbook on Multimedia Synchronization
MediaSync, Handbook on Multimedia Synchronization
Multi-camera systems are frequently used in applications such as panorama videos creation, free-viewpoint rendering, and 3D reconstruction. A critical aspect for visual quality in these systems is that the cameras are closely synchronized. In our res
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bc6162bbe2ec1fe8ac0c2e615328ad1d
https://doi.org/10.1007/978-3-319-65840-7_20
https://doi.org/10.1007/978-3-319-65840-7_20
Publikováno v:
International Journal of Multimedia Data Engineering and Management. 3:1-19
Segmented adaptive HTTP streaming has become the de facto standard for video delivery over the Internet for its ability to scale video quality to the available network resources. Here, each video is encoded in multiple qualities, i.e., running the ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::19647ab6511ec12416368aec5bd375c6
https://doi.org/10.4018/jmdem.2012040101
https://doi.org/10.4018/jmdem.2012040101
Autor:
Håvard Espeland, Kjetil Raaen, Håkon Kvale Stensland, Carsten Griwodz, Andreas Petlund, Pål Halvorsen
Publikováno v:
ICPP Workshops
Supporting thousands of interacting players in a virtual world poses huge challenges with respect to processing. Existing work that addresses the challenge utilizes a variety of spatial partitioning algorithms to distribute the load. If, however, a l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e202d73c7c72c67ee9af73c9a92f16a7
https://doi.org/10.1109/icppw.2012.55
https://doi.org/10.1109/icppw.2012.55
Publikováno v:
ICPP Workshops
Processing data intensive multimedia workloads is challenging, and scheduling and resource management are vitally important for the best possible utilization of machine resources. In earlier work, we have used work-stealing, which is frequently used
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8c2e631d84576f8f1694dd4ab038530
https://doi.org/10.1109/icppw.2012.49
https://doi.org/10.1109/icppw.2012.49
Publikováno v:
ISM
Adaptive HTTP streaming is frequently used for both live and on-Demand video delivery over the Internet. Adaptive ness is often achieved by encoding the video stream in multiple qualities (and thus bit rates), and then transparently switching between
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::455d47d63b24a658e0cdc630c41df7fa
https://doi.org/10.1109/ism.2011.53
https://doi.org/10.1109/ism.2011.53