Automatic Myocardial Strain Imaging in Echocardiography Using Deep Learning. - Andreas Østvik; Erik Smistad; Torvald Espeland; Erik Andreas Rye Berg; Lasse Løvstakken (DLMIA/ML-CDS@MICCAI, 2018)

Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography. - Sarah Leclerc; Erik Smistad; João Pedrosa; Andreas Østvik; Frederic Cervenansky; Florian Espinosa; Torvald Espeland; Erik Andreas Rye Berg; Pierre-Marc Jodoin; Thomas Grenier; Carole Lartizien; Jan D'hooge; et al. (IEEE Trans. Medical Imaging, 2019)

LU-Net: a multi-task network to improve the robustness of segmentation of left ventriclular structures by deep learning in 2D echocardiography. - Sarah Leclerc; Erik Smistad; Andreas Østvik; Frederic Cervenansky; Florian Espinosa; Torvald Espeland; Erik Andreas Rye Berg; Thomas Grenier; Carole Lartizien; Pierre-Marc Jodoin; Lasse Løvstakken; Olivier Bernard 001 (CoRR, 2020)

Automated estimation of mitral annular plane systolic excursion by artificial intelligence from 3D ultrasound recordings. - Anders Austlid Taskén; Erik Andreas Rye Berg; Bjørnar Leangen Grenne; Espen Holte; Håvard Dalen; Stian Stølen; Frank Lindseth; Svend Aakhus; Gabriel Kiss (Artif. Intell. Medicine, 2023)