Regional quality estimation for echocardiography using deep learning

Autor: Van De Vyver, Gilles, Måsøy, Svein-Erik, Dalen, Håvard, Grenne, Bjørnar Leangen, Holte, Espen, Olaisen, Sindre Hellum, Nyberg, John, Østvik, Andreas, Løvstakken, Lasse, Smistad, Erik

Automatic estimation of cardiac ultrasound image quality can be beneficial for guiding operators and ensuring the accuracy of clinical measurements. Previous work often fails to distinguish the view correctness of the echocardiogram from the image qu

Externí odkaz: http://arxiv.org/abs/2408.00591

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Automatic measurements of left ventricular volumes and ejection fraction by artificial intelligence reduces time-consumption and inter-observer variability

Autor: Olaisen, Sindre Hellum, Espeland, Torvald, Smistad, Erik, Hu, Jieyu, Pasdeloup, David Francis Pierre, Østvik, Andreas, Amundsen, Brage H., Aakhus, Svend, Rösner, Assami, Stylidis, Michael, Holte, Espen, Grenne, Bjørnar Leangen, Løvstakken, Lasse, Dalen, Håvard

Externí odkaz: https://hdl.handle.net/10037/32841

Digital recruitment and compliance to treatment recommendations in the Norwegian Atrial Fibrillation self-screening pilot study

Autor: Sandberg, Edvard Liljedahl, Halvorsen, Sigrun, Berge, Trygve, Grimsmo, Jostein, Atar, Dan, Grenne, Bjørnar Leangen, Jortveit, Jarle

Publikováno v: Sandberg, Edvard Liljedahl Halvorsen, Sigrun Berge, Trygve Grimsmo, Jostein Atar, Dan Grenne, Bjørnar Leangen Jortveit, Jarle . Digital recruitment and compliance to treatment recommendations in the Norwegian Atrial Fibrillation self-screening pilot study. The European Heart Jo
The European Heart Jo

Externí odkaz: http://hdl.handle.net/10852/113884

Automatic assessment of left ventricular function for hemodynamic monitoring using artificial intelligence and transesophageal echocardiography

Autor: Yu, Jinyang, Tasken, Anders Austlid, Flade, Hans Martin, Skogvoll, Eirik, Berg, Erik Andreas Rye, Grenne, Bjørnar Leangen, Rimehaug, Audun Eskeland, Kirkeby-Garstad, Idar, Aakhus, Svend

Externí odkaz: https://hdl.handle.net/11250/3125353