Torvald Espeland

According to our database, Torvald Espeland authored at least 3 papers between 2018 and 2020.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2020

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

CoRR, 2020

2019

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, Lasse Løvstakken, Olivier Bernard

IEEE Trans. Medical Imaging, 2019

2018

Automatic Myocardial Strain Imaging in Echocardiography Using Deep Learning.

Andreas Østvik, Erik Smistad, Torvald Espeland, Erik Andreas Rye Berg, Lasse Løvstakken

Proceedings of the Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support, 2018