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2020 – today
- 2024
[j4]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:
Cardiac Valve Event Timing in Echocardiography Using Deep Learning and Triplane Recordings. IEEE J. Biomed. Health Informatics 28(5): 2759-2768 (2024)- [c3]Md Abulkalam Azad, Artem Chernyshov, John Nyberg, Ingrid Tveten, Lasse Løvstakken, Håvard Dalen, Bjørnar Leangen Grenne, Andreas Østvik:
EchoTracker: Advancing Myocardial Point Tracking in Echocardiography. MICCAI (4) 2024: 645-655 - [i4]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:
Cardiac valve event timing in echocardiography using deep learning and triplane recordings. CoRR abs/2403.10156 (2024) - [i3]Md Abulkalam Azad, Artem Chernyshov, John Nyberg, Ingrid Tveten, Lasse Løvstakken, Håvard Dalen, Bjørnar Leangen Grenne, Andreas Østvik:
EchoTracker: Advancing Myocardial Point Tracking in Echocardiography. CoRR abs/2405.08587 (2024) - [i2]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:
Regional quality estimation for echocardiography using deep learning. CoRR abs/2408.00591 (2024) - 2021
- [b1]Andreas Østvik:
Automatic analysis in echocardiography using machine learning. Norwegian University of Science and Technology, Trondheim, Norway, 2021 - [j3]Andreas Østvik, Ivar Mjåland Salte, Erik Smistad, Thuy Mi Nguyen, Daniela Melichova, Harald Brunvand, Kristina Haugaa, Thor Edvardsen, Bjørnar Leangen Grenne, Lasse Løvstakken:
Myocardial Function Imaging in Echocardiography Using Deep Learning. IEEE Trans. Medical Imaging 40(5): 1340-1351 (2021) - [c2]Akhil S. Anand, Andreas Østvik, Esten Ingar Grøtli, Marialena Vagia, Jan Tommy Gravdahl:
Real-time temporal adaptation of dynamic movement primitives for moving targets. ICAR 2021: 261-268 - 2020
- [i1]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:
LU-Net: a multi-task network to improve the robustness of segmentation of left ventriclular structures by deep learning in 2D echocardiography. CoRR abs/2004.02043 (2020)
2010 – 2019
- 2019
- [j2]Erik Smistad, Andreas Østvik, André Pedersen:
High Performance Neural Network Inference, Streaming, and Visualization of Medical Images Using FAST. IEEE Access 7: 136310-136321 (2019) - [j1]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:
Deep Learning for Segmentation Using an Open Large-Scale Dataset in 2D Echocardiography. IEEE Trans. Medical Imaging 38(9): 2198-2210 (2019) - 2018
- [c1]Andreas Østvik, Erik Smistad, Torvald Espeland, Erik Andreas Rye Berg, Lasse Løvstakken:
Automatic Myocardial Strain Imaging in Echocardiography Using Deep Learning. DLMIA/ML-CDS@MICCAI 2018: 309-316
Coauthor Index
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