Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Martin Sundahl Laursen"'
Autor:
Søren Andreas Just, Jakob Kristian Holm Andersen, Jannik Skyttegaard Pedersen, Martin Sundahl Laursen, Kathrine Holtz, Jakob Grauslund, Thiusius Rajeeth Savarimuthu
Publikováno v:
RMD Open, Vol 5, Iss 1 (2019)
Background The development of standardised methods for ultrasound (US) scanning and evaluation of synovitis activity by the OMERACT-EULAR Synovitis Scoring (OESS) system is a major step forward in the use of US in the diagnosis and monitoring of pati
Externí odkaz:
https://doaj.org/article/a5c1a64b3a90430c95088076d16bd197
Autor:
Martin Sundahl Laursen, Jannik Skyttegaard Pedersen, Pernille Just Vinholt, Rasmus Søgaard Hansen, Thiusius Rajeeth Savarimuthu
Publikováno v:
Northern European Journal of Language Technology. 9
In natural language processing, benchmarks are used to track progress and identify useful models. Currently, no benchmark for Danish clinical word embeddings exists. This paper describes the development of a Danish benchmark for clinical word embeddi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a610bca259975495eef573aa3601b954
https://doi.org/10.3384/nejlt.2000-1533.2023.4132
https://doi.org/10.3384/nejlt.2000-1533.2023.4132
Autor:
Katrine Holtz, Martin Sundahl Laursen, Jakob Grauslund, Søren Andreas Just, Jannik Skyttegaard Pedersen, Jakob Kristian Holm Andersen, Thiusius Rajeeth Savarimuthu
Publikováno v:
Oral Presentations.
Background The development of standardized methods for ultrasound (US) scanning and evaluation of synovitis activity by the OMERACT-EULAR Synovitis Scoring (OESS) system, is a major step forward in the use of US in the diagnosis and monitoring of pat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b3c898a908ae3d20ca82c1e462f5bb7
https://doi.org/10.1136/annrheumdis-2019-eular.2174
https://doi.org/10.1136/annrheumdis-2019-eular.2174
Autor:
Eline Sandvig Andersen, Thiusius Rajeeth Savarimuthu, Lou-Ann Christensen Andersen, Charlotte Gils, Pernille Just Vinholt, Martin Sundahl Laursen, Anne-Sofie Faarvang Thorsen, Cathrine Brødsgaard Nielsen, Kristian Voss Bjerre, Rasmus Søgaard Hansen, Anne Alnor, Ina Mathilde Kjær, Jannik Skyttegaard Pedersen, Søren Andreas Just
Publikováno v:
Research and Practice in Thrombosis and Haemostasis
Pedersen, J S, Laursen, M S, Savarimuthu, T R, Søgaard Hansen, R, Alnor, A B, Bjerre, K V, Kjær, I M, Gils, C, Thorsen, A-S F, Sandvig Andersen, E, Nielsen, C B, Andersen, L-A C, Just, S A & Vinholt, P J 2021, ' Deep learning detects and visualizes bleeding events in electronic health records ', Research and Practice in Thrombosis and Haemostasis, vol. 5, no. 4, e12505 . https://doi.org/10.1002/rth2.12505
Research and Practice in Thrombosis and Haemostasis, Vol 5, Iss 4, Pp n/a-n/a (2021)
Pedersen, J S, Laursen, M S, Savarimuthu, T R, Søgaard Hansen, R, Alnor, A B, Bjerre, K V, Kjær, I M, Gils, C, Thorsen, A-S F, Sandvig Andersen, E, Nielsen, C B, Andersen, L-A C, Just, S A & Vinholt, P J 2021, ' Deep learning detects and visualizes bleeding events in electronic health records ', Research and Practice in Thrombosis and Haemostasis, vol. 5, no. 4, e12505 . https://doi.org/10.1002/rth2.12505
Research and Practice in Thrombosis and Haemostasis, Vol 5, Iss 4, Pp n/a-n/a (2021)
Background: Bleeding is associated with a significantly increased morbidity and mortality. Bleeding events are often described in the unstructured text of electronic health records, which makes them difficult to identify by manual inspection. Objecti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfcf81bfeb74d853c2e7675ef70c2490
https://doi.org/10.1002/rth2.12505
https://doi.org/10.1002/rth2.12505
Autor:
Jakob Kristian Holm Andersen, Jannik Skyttegaard Pedersen, Martin Sundahl Laursen, Katrine Holtz, Jakob Grauslund, Thiusius Rajeeth Savarimuthu, Søren Andreas Just
Publikováno v:
University of Southern Denmark
Andersen, J K H, Skyttegaard Pedersen, J, Sundahl Laursen, M, Holtz, K, Grauslund, J, Savarimuthu, T R & Just, S A 2019, ' Neural networks for automated scoring of joint disease activity on doppler ultrasound images ', Annual European Congress of Rheumatology, EULAR 2019, Madrid, Spain, 12/06/2019-15/06/2019 .
Andersen, J K H, Skyttegaard Pedersen, J, Sundahl Laursen, M, Holtz, K, Grauslund, J, Savarimuthu, T R & Just, S A 2019, ' Neural networks for automated scoring of joint disease activity on doppler ultrasound images ', Annual European Congress of Rheumatology, EULAR 2019, Madrid, Spain, 12/06/2019-15/06/2019 .
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5f58620fa96ddc779c198f25e1b26358
https://portal.findresearcher.sdu.dk/en/publications/eb3117ba-5cfc-4b8c-9081-6a28f87a85a7
https://portal.findresearcher.sdu.dk/en/publications/eb3117ba-5cfc-4b8c-9081-6a28f87a85a7
