Browsing Institutt for datateknologi og informatikk by Author "Aakhus, Svend"
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Automated estimation of mitral annular plane systolic excursion by artificial intelligence from 3D ultrasound recordings
Tasken, Anders Austlid; Berg, Erik Andreas Rye; Grenne, Bjørnar Leangen; Holte, Espen; Dalen, Håvard; Stølen, Stian Bergseng; Lindseth, Frank; Aakhus, Svend; Kiss, Gabriel Hanssen (Peer reviewed; Journal article, 2023)Perioperative monitoring of cardiac function is beneficial for early detection of cardiovascular complications. The standard of care for cardiac monitoring performed by trained cardiologists and anesthesiologists involves ... -
Automatic assessment of left ventricular function for hemodynamic monitoring using artificial intelligence and transesophageal echocardiography
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 (Peer reviewed; Journal article, 2024)We have developed a method to automatically assess LV function by measuring mitral annular plane systolic excursion (MAPSE) using artificial intelligence and transesophageal echocardiography (autoMAPSE). Our aim was to ... -
Fully automatic estimation of global left ventricular systolic function using deep learning in transesophageal echocardiography
Berg, Erik Andreas Rye; Tasken, Anders Austlid; Nordal, Trym; Grenne, Bjørnar Leangen; Espeland, Torvald; Garstad, Idar Kirkeby; Dalen, Håvard; Holte, Espen; Stølen, Stian Bergseng; Aakhus, Svend; Kiss, Gabriel Hanssen (Journal article, 2023)Aims To improve monitoring of cardiac function during major surgery and intensive care, we have developed a method for fully automatic estimation of mitral annular plane systolic excursion (auto-MAPSE) using deep learning ...