Blar i forfatter "Smistad, Erik"
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Automatic measurements of left ventricular volumes and ejection fraction by artificial intelligence reduces time-consumption and inter-observer variability
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 (Conference object; Konferansebidrag, 2023-06-19) -
Automatic measurements of left ventricular volumes and ejection fraction by artificial intelligence: clinical validation in real time and large databases
Olaisen, Sindre Hellum; Smistad, Erik; Espeland, Torvald; Hu, Jieyu; Pasdeloup, David Francis Pierre; Østvik, Andreas; Aakhus, Svend; Rösner, Assami; Malm, Siri; Stylidis, Michael; Holte, Espen; Grenne, Bjørnar Leangen; Løvstakken, Lasse; Dalen, Håvard (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-10-26)Aims - Echocardiography is a cornerstone in cardiac imaging, and left ventricular (LV) ejection fraction (EF) is a key parameter for patient management. Recent advances in artificial intelligence (AI) have enabled fully automatic measurements of LV volumes and EF both during scanning and in stored recordings. The aim of this study was to evaluate the impact of implementing AI measurements on acquisition ... -
H2G-Net: A multi-resolution refinement approach for segmentation of breast cancer region in gigapixel histopathological images
Pedersen, André; Smistad, Erik; Rise, Tor Vikan; Dale, Vibeke Grotnes; Pettersen, Henrik P Sahlin; Nordmo, Tor-Arne Schmidt; Bouget, David Nicolas Jean-Mar; Reinertsen, Ingerid; Valla, Marit (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-09-14)Over the past decades, histopathological cancer diagnostics has become more complex, and the increasing number of biopsies is a challenge for most pathology laboratories. Thus, development of automatic methods for evaluation of histopathological cancer sections would be of value. In this study, we used 624 whole slide images (WSIs) of breast cancer from a Norwegian cohort. We propose a cascaded ...