Andreas Østvik

According to our database, Andreas Østvik authored at least 10 papers between 2018 and 2024.

Collaborative distances:

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

2024

Cardiac Valve Event Timing in Echocardiography Using Deep Learning and Triplane Recordings.

Benjamin Strandli Fermann, John Nyberg, Espen W. Remme, Jahn Frederik Grue, Helén Grue, Roger Håland, Lasse Løvstakken, Håvard Dalen, Bjørnar Leangen Grenne, Svein Arne Aase, Sten Roar Snare, Andreas Østvik

IEEE J. Biomed. Health Informatics, May, 2024

Regional quality estimation for echocardiography using deep learning.

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

CoRR, 2024

EchoTracker: Advancing Myocardial Point Tracking in Echocardiography.

Md Abulkalam Azad, Artem Chernyshov, John Nyberg, Ingrid Tveten, Lasse Løvstakken, Håvard Dalen, Bjørnar Leangen Grenne, Andreas Østvik

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

2021

Automatic analysis in echocardiography using machine learning.

Andreas Østvik

PhD thesis, 2021

Myocardial Function Imaging in Echocardiography Using Deep Learning.

Andreas Østvik, Ivar Mjåland Salte, Erik Smistad, Thuy Mi Nguyen, Daniela Melichova, Harald Brunvand, Kristina Haugaa, Thor Edvardsen, Bjørnar Leangen Grenne, Lasse Løvstakken

IEEE Trans. Medical Imaging, 2021

Real-time temporal adaptation of dynamic movement primitives for moving targets.

Akhil S. Anand, Andreas Østvik, Esten Ingar Grøtli, Marialena Vagia, Jan Tommy Gravdahl

Proceedings of the 20th International Conference on Advanced Robotics, 2021

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

High Performance Neural Network Inference, Streaming, and Visualization of Medical Images Using FAST.

Erik Smistad, Andreas Østvik, André Pedersen

IEEE Access, 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