Zobrazeno 1 - 10
of 95
pro vyhledávání: '"Andersen, Trygve"'
Autor:
Nilsen, Dennis W.T., Aarsetoey, Reidun, Poenitz, Volker, Ueland, Thor, Aukrust, Pål, Michelsen, Annika E., Brugger-Andersen, Trygve, Staines, Harry, Grundt, Heidi
Publikováno v:
In International Journal of Cardiology Cardiovascular Risk and Prevention June 2024 21
Autor:
Pedersen, Bjørn-Richard, Holsbø, Einar, Andersen, Trygve, Shvetsov, Nikita, Ravn, Johan, Sommerseth, Hilde Leikny, Bongo, Lars Ailo
Machine learning approaches achieve high accuracy for text recognition and are therefore increasingly used for the transcription of handwritten historical sources. However, using machine learning in production requires a streamlined end-to-end pipeli
Externí odkaz:
http://arxiv.org/abs/2106.03996
Autor:
Gasparini, Andrea, Magin, Elisabeth Maria, Rees, Ellen, Rettberg, Scott, Sommerseth, Hilde L., Pedersen, Bjørn-Richard, Andersen, Trygve, Bongo, Lars Ailo, Cañadas, Rafael N., Sildnes, Anders, Shvetsov, Nikita, Andersen, Gisle, Gjesdal, Anje Müller, Hofland, Knut, Kristiansen, Marita, Gangopadhyay, Nivedita, Pichler, Alois, Aadland, Emma Josefin Ölander, Sverdljuk, Jana, Reed, Beatrice G., Tønnessen, Jon Carlstedt, Bruvik, Tone Merete
Externí odkaz:
http://hdl.handle.net/10852/101663
Autor:
Rockenberger, Annika, Gilbert, Sofie, Tiemann, Juliane, Pierfederici, Elisa, Baunvig, Katrine F., Nielbo, Kristoffer, Achmann, Michael, Wolff, Christian, Matsson, Arild, Kriström,Olov, Felsing, Ulrike, Fornaro, Peter, Frischknecht, Max, Raemy, Julien Antoine, Poso, Venla, Välisalo, Tanja, Toivanen, Ida, Holmila, Antero, Ojala, Jari, Kāle, Maija, Jain, Ramesh, Brodén, Daniel, Olsson, Leif-Jöran, Fridlund, Mats, Ängsal, Magnus P., Öhberg, Patrik, Michael, Azar, Michael, McGuire, Gangopadhyay, Nivedita, Grève, Sebastian Sunday, Pichler, Alois, Magin, Elisabeth Maria, Smith, Marcus, Aadland, Emma Josefin Ölander, Jauhiainen, Heidi, Jauhiainen, Tommi, Fernández, Elena Fernández, Savcisens, Germans, Nelhans, Gustaf, Ludvigsen, Louise, Perner, Mads, Pedersen, Bjørn-Richard, Cañadas, Rafael Nozal, Sildnes, Anders, Shvetsov, Nikita, Andersen, Trygve, Bongo, Lars Ailo, Sommerseth, Hilde Leikny, Fagerving, Alicia, Rasmussen, Krista S. G., Vad, Kristen, Møldrup-Dalum, Per, Drobac, Senka, Enqvist, Johanna, Leskinen, Petri, Wahjoe, Muhammad Faiz, Rantala, Heikki, Koho, Mikko, Pikkanen, Ilona, Jauhiainen, Iida, Tuominen, Jouni, Paloposki, Hanna-Leena, Mela, Matti La, Hyvönen, Eero, Gasparini, Andrea Alessandro, Gheldof, Tom, Martin, Benjamin, Norén, Fredrik Mohammadi, Sinikallio, Laura, Liimatta, Aatu, Ryan, Yann, Säily, Tanja, Tolonen, Mikko, Rikters, Matīss, Baklāne, Anda, Saulespurēns, Valdis, Tinits, Peeter
Externí odkaz:
http://hdl.handle.net/10852/106269
Autor:
Nilsen, Dennis Winston T., Aarsetoey, Reidun, Poenitz, Volker, Ueland, Thor, Aukrust, Pål, Michelsen, Annika Elisabet, Brugger-Andersen, Trygve, Staines, Harry, Grundt, Heidi
Publikováno v:
Cardiology; 2024, Vol. 149 Issue 4, p338-346, 9p
Akademický článek
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Autor:
Nilsen, Dennis WT, Aarsetøy, Reidun, Pønitz, Volker, Ueland, Thor, Aukrust, Pål, Michelsen, Annika Elisabet, Andersen, Trygve Brugger, Staines, Harry, Grundt, Heidi
Publikováno v:
Nilsen, Dennis WT Aarsetøy, Reidun Pønitz, Volker Ueland, Thor Aukrust, Pål Michelsen, Annika Elisabet Andersen, Trygve Brugger Staines, Harry Grundt, Heidi . α1-Antichymotrypsin Complex (SERPINA3) Is an Independent Predictor of All-Cause but Not Cardiovascular Mortality in Patients Hospitalized for Chest Pain of Suspected Coronary Origin. Cardiology. 2024, 149(4), 338-346
Cardiology
Cardiology
Externí odkaz:
http://hdl.handle.net/10852/114337
Autor:
Nilsen, Dennis W.T., Aarsetoey, Hildegunn, Pönitz, Volker, Brugger-Andersen, Trygve, Staines, Harry, Harris, William S., Grundt, Heidi
Publikováno v:
In International Journal of Cardiology 15 December 2017 249:12-17
Autor:
Pedersen, Bjørn-Richard, Holsbø, Einar, Andersen, Trygve, Shvetsov, Nikita, Ravn, Johan, Sommerseth, Hilde Leikny, Bongo, Lars Ailo
Publikováno v:
Pedersen B, Holsbø EJ, Andersen T, Shvetsov N, Ravn J, Sommerseth HL, Bongo LA. Lessons Learned Developing and Using a Machine Learning Model to Automatically Transcribe 2.3 Million Handwritten Occupation Codes. Historical Life Course Studies. 2022;11:1-17
Externí odkaz:
https://hdl.handle.net/10037/24000