Andreas Østvik
About
Research Scientist at the Department of Circulation and Medical Imaging financed by CIUS. Current research projects involve automatic methods for analysing medical images using machine learning methodology. The main application is cardiac ultrasound imaging, where the goal is to develop good diagnostic tools and improve workflow in the clinic.
Research interests
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Ultrasound, and other medical imaging modalities
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Artificial Intelligence with emphasis on machine learning and deep neural networks
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Robotics and machine vision in medical intervention
Background
Master of Science (MSc) in physics and mathematics with specialization in biophysics and medical technology. Master thesis on the topic of Robot Control in Image-Guided Intervention. PhD within automatic analysis in echocardiography using machine learning.
Also working as a Research Scientist at SINTEF Digital, Department of Health Research.
Competencies
Publications
2021
- Muller, Sebastien; Abildsnes, Håkon Kvisle; Østvik, Andreas; Kragset, Oda; Gangås, Inger Sofie Hovd; Birke, Harriet; Langø, Thomas; Arum, Carl-Jørgen. (2021) Can a Dinosaur Think? Implementation of Artificial Intelligence in Extracorporeal Shock Wave Lithotripsy. European Urology Open Science. volum 27.
- Salte, Ivar M.; Østvik, Andreas; Smistad, Erik; Melichova, Daniela; Nguyen, Thuy Mi; Karlsen, Sigve; Brunvand, Harald; Haugaa, Kristina H.; Edvardsen, Thor; Løvstakken, Lasse; Grenne, Bjørnar. (2021) Artificial Intelligence for Automatic Measurement of Left Ventricular Strain in Echocardiography. JACC Cardiovascular Imaging. volum 14 (10).
- Østvik, Andreas; Salte, Ivar Mjåland; Smistad, Erik; Nguyen, Thuy Mi; Melichova, Daniela; Brunvand, Harald; Haugaa, Kristina; Edvardsen, Thor; Grenne, Bjørnar; Løvstakken, Lasse. (2021) Myocardial Function Imaging in Echocardiography Using Deep Learning. IEEE Transactions on Medical Imaging. volum 40 (5).
2020
- Leclerc, Sarah; Smistad, Erik; Østvik, Andreas; Cervenansky, Frederic; Espinosa, Florian; Espeland, Torvald; Berg, Erik Andreas Rye; Belhamissi, Mourad; Israilov, Sardor; Grenier, Thomas; Lartizien, Carole; Jodoin, Pierre-Marc; Løvstakken, Lasse; Bernard, Olivier. (2020) LU-Net: A Multistage Attention Network to Improve the Robustness of Segmentation of Left Ventricular Structures in 2-D Echocardiography. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control. volum 67 (12).
- Smistad, Erik; Østvik, Andreas; Salte, Ivar Mjåland; Melichova, Daniela; Nguyen, Thuy Mi; Haugaa, Kristina; Brunvand, Harald; Edvardsen, Thor; Leclerc, Sarah; Bernard, Olivier; Grenne, Bjørnar; Løvstakken, Lasse. (2020) Real-Time Automatic Ejection Fraction and Foreshortening Detection Using Deep Learning. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control. volum 67 (12).
2019
- Leclerc, Sarah; Smistad, Erik; Grenier, Thomas; Lartizien, Carole; Østvik, Andreas; Cervenansky, Frederic; Espinosa, Florian; Espeland, Torvald; Berg, Erik Andreas Rye; Jodoin, Pierre-Marc; Løvstakken, Lasse; Bernard, Olivier. (2019) RU-Net: A refining segmentation network for 2D echocardiography. Proceedings - IEEE Ultrasonics Symposium. volum 2019-October.
- Leclerc, Sarah; Smistad, Erik; Pedrosa, Joao; Østvik, Andreas; Cervenansky, Frederic; Espinosa, Florian; Espeland, Torvald; Berg, Erik Andreas Rye; Jodoin, Pierre-Marc; Grenier, Thomas; Lartizien, Carole; D'Hooge, Jan R M; Løvstakken, Lasse; Bernard, Olivier. (2019) Deep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography. IEEE Transactions on Medical Imaging. volum 38 (9).
- Smistad, Erik; Salte, Ivar Mjåland; Østvik, Andreas; Leclerc, Sarah; Bernard, Olivier; Løvstakken, Lasse. (2019) Segmentation of apical long axis, four- and two-chamber views using deep neural networks. Proceedings - IEEE Ultrasonics Symposium. volum 2019-October.
- Smistad, Erik; Østvik, Andreas; Pedersen, André. (2019) High performance neural network inference, streaming, and visualization of medical images using FAST. IEEE Access. volum 7.
2018
- Dietrichson, Fabian Sødal; Smistad, Erik; Østvik, Andreas; Løvstakken, Lasse. (2018) Ultrasound speckle reduction using generative adversial networks. Proceedings - IEEE Ultrasonics Symposium. volum 2018-October:8579764.
- Fiorito, Adrian Meidell; Østvik, Andreas; Smistad, Erik; Leclerc, Sarah; Bernard, Olivier; Løvstakken, Lasse. (2018) Detection of Cardiac Events in Echocardiography using 3D Convolutional Recurrent Neural Networks. Proceedings - IEEE Ultrasonics Symposium.
- Leclerc, Sarah; Smistad, Erik; Grenier, Thomas; Lartizien, Carole; Østvik, Andreas; Espinosa, Florian; Jodoin, Pierre-Marc; Løvstakken, Lasse; Bernard, Olivier. (2018) Deep learning applied to multi-structure segmentation in 2D echocardiography: A preliminary investigation of the required database size. Proceedings - IEEE Ultrasonics Symposium.
- Smistad, Erik; Østvik, Andreas; Salte, Ivar Mjåland; Leclerc, Sarah; Bernard, Olivier; Løvstakken, Lasse. (2018) Fully automatic real-time ejection fraction and MAPSE measurements in 2D echocardiography using deep neural networks. Proceedings - IEEE Ultrasonics Symposium.
- Østvik, Andreas; Smistad, Erik; Aase, Svein Arne; Haugen, Bjørn Olav; Løvstakken, Lasse. (2018) Real-time Standard View Classification in Transthoracic Echocardiography using Convolutional Neural Networks. Ultrasound in Medicine and Biology.
- Østvik, Andreas; Smistad, Erik; Espeland, Torvald; Berg, Erik Andreas Rye; Løvstakken, Lasse. (2018) Automatic Myocardial Strain Imaging in Echocardiography Using Deep Learning. Lecture Notes in Computer Science (LNCS). volum 11045 LNCS.
2017
- Smistad, Erik; Østvik, Andreas; Haugen, Bjørn Olav; Løvstakken, Lasse. (2017) 2D left ventricle segmentation using deep learning. Proceedings - IEEE Ultrasonics Symposium.
Journal publications
- Muller, Sebastien; Abildsnes, Håkon Kvisle; Østvik, Andreas; Kragset, Oda; Gangås, Inger Sofie Hovd; Birke, Harriet; Langø, Thomas; Arum, Carl-Jørgen. (2021) Can a Dinosaur Think? Implementation of Artificial Intelligence in Extracorporeal Shock Wave Lithotripsy. European Urology Open Science. volum 27.
- Salte, Ivar M.; Østvik, Andreas; Smistad, Erik; Melichova, Daniela; Nguyen, Thuy Mi; Karlsen, Sigve; Brunvand, Harald; Haugaa, Kristina H.; Edvardsen, Thor; Løvstakken, Lasse; Grenne, Bjørnar. (2021) Artificial Intelligence for Automatic Measurement of Left Ventricular Strain in Echocardiography. JACC Cardiovascular Imaging. volum 14 (10).
- Østvik, Andreas; Salte, Ivar Mjåland; Smistad, Erik; Nguyen, Thuy Mi; Melichova, Daniela; Brunvand, Harald; Haugaa, Kristina; Edvardsen, Thor; Grenne, Bjørnar; Løvstakken, Lasse. (2021) Myocardial Function Imaging in Echocardiography Using Deep Learning. IEEE Transactions on Medical Imaging. volum 40 (5).
- Leclerc, Sarah; Smistad, Erik; Østvik, Andreas; Cervenansky, Frederic; Espinosa, Florian; Espeland, Torvald; Berg, Erik Andreas Rye; Belhamissi, Mourad; Israilov, Sardor; Grenier, Thomas; Lartizien, Carole; Jodoin, Pierre-Marc; Løvstakken, Lasse; Bernard, Olivier. (2020) LU-Net: A Multistage Attention Network to Improve the Robustness of Segmentation of Left Ventricular Structures in 2-D Echocardiography. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control. volum 67 (12).
- Smistad, Erik; Østvik, Andreas; Salte, Ivar Mjåland; Melichova, Daniela; Nguyen, Thuy Mi; Haugaa, Kristina; Brunvand, Harald; Edvardsen, Thor; Leclerc, Sarah; Bernard, Olivier; Grenne, Bjørnar; Løvstakken, Lasse. (2020) Real-Time Automatic Ejection Fraction and Foreshortening Detection Using Deep Learning. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control. volum 67 (12).
- Leclerc, Sarah; Smistad, Erik; Grenier, Thomas; Lartizien, Carole; Østvik, Andreas; Cervenansky, Frederic; Espinosa, Florian; Espeland, Torvald; Berg, Erik Andreas Rye; Jodoin, Pierre-Marc; Løvstakken, Lasse; Bernard, Olivier. (2019) RU-Net: A refining segmentation network for 2D echocardiography. Proceedings - IEEE Ultrasonics Symposium. volum 2019-October.
- Leclerc, Sarah; Smistad, Erik; Pedrosa, Joao; Østvik, Andreas; Cervenansky, Frederic; Espinosa, Florian; Espeland, Torvald; Berg, Erik Andreas Rye; Jodoin, Pierre-Marc; Grenier, Thomas; Lartizien, Carole; D'Hooge, Jan R M; Løvstakken, Lasse; Bernard, Olivier. (2019) Deep Learning for Segmentation using an Open Large-Scale Dataset in 2D Echocardiography. IEEE Transactions on Medical Imaging. volum 38 (9).
- Smistad, Erik; Salte, Ivar Mjåland; Østvik, Andreas; Leclerc, Sarah; Bernard, Olivier; Løvstakken, Lasse. (2019) Segmentation of apical long axis, four- and two-chamber views using deep neural networks. Proceedings - IEEE Ultrasonics Symposium. volum 2019-October.
- Smistad, Erik; Østvik, Andreas; Pedersen, André. (2019) High performance neural network inference, streaming, and visualization of medical images using FAST. IEEE Access. volum 7.
- Dietrichson, Fabian Sødal; Smistad, Erik; Østvik, Andreas; Løvstakken, Lasse. (2018) Ultrasound speckle reduction using generative adversial networks. Proceedings - IEEE Ultrasonics Symposium. volum 2018-October:8579764.
- Fiorito, Adrian Meidell; Østvik, Andreas; Smistad, Erik; Leclerc, Sarah; Bernard, Olivier; Løvstakken, Lasse. (2018) Detection of Cardiac Events in Echocardiography using 3D Convolutional Recurrent Neural Networks. Proceedings - IEEE Ultrasonics Symposium.
- Leclerc, Sarah; Smistad, Erik; Grenier, Thomas; Lartizien, Carole; Østvik, Andreas; Espinosa, Florian; Jodoin, Pierre-Marc; Løvstakken, Lasse; Bernard, Olivier. (2018) Deep learning applied to multi-structure segmentation in 2D echocardiography: A preliminary investigation of the required database size. Proceedings - IEEE Ultrasonics Symposium.
- Smistad, Erik; Østvik, Andreas; Salte, Ivar Mjåland; Leclerc, Sarah; Bernard, Olivier; Løvstakken, Lasse. (2018) Fully automatic real-time ejection fraction and MAPSE measurements in 2D echocardiography using deep neural networks. Proceedings - IEEE Ultrasonics Symposium.
- Østvik, Andreas; Smistad, Erik; Aase, Svein Arne; Haugen, Bjørn Olav; Løvstakken, Lasse. (2018) Real-time Standard View Classification in Transthoracic Echocardiography using Convolutional Neural Networks. Ultrasound in Medicine and Biology.
- Østvik, Andreas; Smistad, Erik; Espeland, Torvald; Berg, Erik Andreas Rye; Løvstakken, Lasse. (2018) Automatic Myocardial Strain Imaging in Echocardiography Using Deep Learning. Lecture Notes in Computer Science (LNCS). volum 11045 LNCS.
- Smistad, Erik; Østvik, Andreas; Haugen, Bjørn Olav; Løvstakken, Lasse. (2017) 2D left ventricle segmentation using deep learning. Proceedings - IEEE Ultrasonics Symposium.