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Andreas Østvik
Andreas Østvik
Senior Researcher Scientist SINTEF, Norwegian University of Science and Technology
Подтвержден адрес электронной почты в домене sintef.no
Название
Процитировано
Процитировано
Год
Deep learning for segmentation using an open large-scale dataset in 2D echocardiography
S Leclerc, E Smistad, J Pedrosa, A Østvik, F Cervenansky, F Espinosa, ...
IEEE transactions on medical imaging 38 (9), 2198-2210, 2019
6632019
Real-Time Standard View Classification in Transthoracic Echocardiography Using Convolutional Neural Networks
A Østvik, E Smistad, SA Aase, BO Haugen, L Lovstakken
Ultrasound in medicine & biology, 2018
1392018
2D left ventricle segmentation using deep learning
E Smistad, A Østvik
2017 IEEE international ultrasonics symposium (IUS), 1-4, 2017
1182017
Artificial intelligence for automatic measurement of left ventricular strain in echocardiography
IM Salte, A Østvik, E Smistad, D Melichova, TM Nguyen, S Karlsen, ...
Cardiovascular Imaging 14 (10), 1918-1928, 2021
1082021
Real-time automatic ejection fraction and foreshortening detection using deep learning
E Smistad, A Østvik, IM Salte, D Melichova, TM Nguyen, K Haugaa, ...
IEEE transactions on ultrasonics, ferroelectrics, and frequency control 67 …, 2020
792020
Myocardial function imaging in echocardiography using deep learning
A Østvik, IM Salte, E Smistad, TM Nguyen, D Melichova, H Brunvand, ...
ieee transactions on medical imaging 40 (5), 1340-1351, 2021
722021
Echocardiographic reference ranges of global longitudinal strain for all cardiac chambers using guideline-directed dedicated views
J Nyberg, EO Jakobsen, A Østvik, E Holte, S Stølen, L Lovstakken, ...
Cardiovascular Imaging 16 (12), 1516-1531, 2023
562023
LU-Net: a multistage attention network to improve the robustness of segmentation of left ventricular structures in 2-D echocardiography
S Leclerc, E Smistad, A Østvik, F Cervenansky, F Espinosa, T Espeland, ...
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 67 …, 2020
512020
Detection of Cardiac Events in Echocardiography Using 3D Convolutional Recurrent Neural Networks
A Meidell Fiorito, A Østvik, E Smistad, S Leclerc, O Bernard, L Lovstakken
2018 IEEE International Ultrasonics Symposium (IUS), 1-4, 2018
502018
Ultrasound speckle reduction using generative adversial networks
F Dietrichson, E Smistad, A Ostvik, L Lovstakken
2018 IEEE International Ultrasonics Symposium (IUS), 1-4, 2018
382018
RU-Net: A refining segmentation network for 2D echocardiography
S Leclerc, E Smistad, T Grenier, C Lartizien, A Ostvik, F Cervenansky, ...
2019 IEEE International Ultrasonics Symposium (IUS), 1160-1163, 2019
372019
High performance neural network inference, streaming, and visualization of medical images using FAST
E Smistad, A Østvik, A Pedersen
IEEE access 7, 136310-136321, 2019
342019
Fully automatic real-time ejection fraction and MAPSE measurements in 2D echocardiography using deep neural networks
E Smistad, A Østvik, IM Salte, S Leclerc, O Bernard, L Lovstakken
2018 IEEE International Ultrasonics Symposium (IUS), 1-4, 2018
332018
Automatic myocardial strain imaging in echocardiography using deep learning
A Østvik, E Smistad, T Espeland, EAR Berg, L Lovstakken
International Workshop on Deep Learning in Medical Image Analysis, 309-316, 2018
332018
Deep learning for improved precision and reproducibility of left ventricular strain in echocardiography: a test-retest study
IM Salte, A Østvik, SH Olaisen, S Karlsen, T Dahlslett, E Smistad, ...
Journal of the American Society of Echocardiography 36 (7), 788-799, 2023
232023
Segmentation of apical long axis, four-and two-chamber views using deep neural networks
E Smistad, IM Salte, A Østvik, S Leclerc, O Bernard, L Lovstakken
2019 IEEE international Ultrasonics symposium (IUS), 8-11, 2019
232019
Real-time echocardiography guidance for optimized apical standard views
D Pasdeloup, SH Olaisen, A Østvik, S Sabo, HN Pettersen, E Holte, ...
Ultrasound in Medicine & Biology 49 (1), 333-346, 2023
222023
Deep learning applied to multi-structure segmentation in 2D echocardiography: a preliminary investigation of the required database size
S Leclerc, E Smistad, T Grenier, C Lartizien, A Ostvik, F Espinosa, ...
2018 IEEE International Ultrasonics Symposium (IUS), 1-4, 2018
212018
Automatic measurements of left ventricular volumes and ejection fraction by artificial intelligence: clinical validation in real time and large databases
S Olaisen, E Smistad, T Espeland, J Hu, D Pasdeloup, A Østvik, S Aakhus, ...
European Heart Journal-Cardiovascular Imaging 25 (3), 383-395, 2024
192024
Annotation Web-An open-source web-based annotation tool for ultrasound images
E Smistad, A Østvik, L Løvstakken
2021 IEEE International Ultrasonics Symposium (IUS), 1-4, 2021
172021
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