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Andreas Østvik
Observed names:
A Oestvik,
A Ostvik,
Andreas Ostvik,
Østvik, Andreas
Institutions:
Oslo University Hospital,
Norwegian University of Science and Technology,
St Olav's University Hospital,
SINTEF Digital,
Department of Health Research
Observed institutions:
Oslo University Hospital,
SINTEF,
Norwegian University of Science and Technology,
St Olav's University Hospital,
SINTEF Digital,
Department of Health Research
show all 6
ORCID:
0000-0003-3895-2683
Observed ORCID:
0000-0003-3895-2683
OpenAlex ID:
A5034424258
Echocardiographic Reference Ranges of Global Longitudinal Strain for All Cardiac Chambers Using Guideline-Directed Dedicated Views
2023
·
John Nyberg
, Even Olav Jakobsen
, et al.
·
JACC. Cardiovascular imaging
·
167
Artificial Intelligence for Automatic Measurement of Left Ventricular Strain in Echocardiography
2021
·
Ivar M. Salte
, Andreas Østvik
, et al.
·
JACC. Cardiovascular imaging
·
149
PDF
Real-Time Standard View Classification in Transthoracic Echocardiography Using Convolutional Neural Networks
2018
·
Andreas Østvik
, Erik Smistad
, et al.
·
Ultrasound in Medicine & Biology
·
127
Real-Time Automatic Ejection Fraction and Foreshortening Detection Using Deep Learning
2020
·
Erik Smistad
, Andreas Ostvik
, et al.
·
IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
·
102
PDF
Myocardial Function Imaging in Echocardiography Using Deep Learning
2021
·
Andreas Ostvik
, Ivar Mjaland Salte
, et al.
·
IEEE Transactions on Medical Imaging
·
88
PDF
2D left ventricle segmentation using deep learning
2017
·
Erik Smistad
, Andreas Ostvik
, et al.
·
IEEE International Ultrasonics Symposium
·
75
LU-Net: A Multistage Attention Network to Improve the Robustness of Segmentation of Left Ventricular Structures in 2-D Echocardiography
2020
·
Sarah Leclerc
, Erik Smistad
, et al.
·
IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
·
63
Automatic measurements of left ventricular volumes and ejection fraction by artificial intelligence: clinical validation in real time and large databases
2023
·
Sindre Olaisen
, Erik Smistad
, et al.
·
European Heart Journal - Cardiovascular Imaging
·
58
PDF
2D left ventricle segmentation using deep learning
2017
·
Erik Smistad
, Andreas Ostvik
, et al.
·
IEEE International Ultrasonics Symposium
·
54
Deep Learning for Improved Precision and Reproducibility of Left Ventricular Strain in Echocardiography: A Test-Retest Study
2023
·
Ivar M. Salte
, Andreas Østvik
, et al.
·
Journal of the American Society of Echocardiography
·
48
PDF
Detection of Cardiac Events in Echocardiography Using 3D Convolutional Recurrent Neural Networks
2018
·
Adrian Meidell Fiorito
, Andreas Ostvik
, et al.
·
IEEE International Ultrasonics Symposium
·
43
High Performance Neural Network Inference, Streaming, and Visualization of Medical Images Using FAST
2019
·
Erik Smistad
, Andreas Ostvik
, et al.
·
IEEE Access
·
32
PDF
RU-Net: A refining segmentation network for 2D echocardiography
2019
·
Sarah Leclerc
, Pierre-Marc Jodoin
, et al.
·
IEEE International Ultrasonics Symposium
·
31
Ultrasound Speckle Reduction Using Generative Adversial Networks
2018
·
Fabian Dietrichson
, Erik Smistad
, et al.
·
IEEE International Ultrasonics Symposium
·
30
Real-Time Echocardiography Guidance for Optimized Apical Standard Views
2022
·
David Pasdeloup
, Sindre H. Olaisen
, et al.
·
Ultrasound in Medicine & Biology
·
28
PDF
Automatic Myocardial Strain Imaging in Echocardiography Using Deep Learning
2018
·
Andreas Østvik
, Erik Smistad
, et al.
·
Lecture notes in computer science
·
28
Fully Automatic Real-Time Ejection Fraction and MAPSE Measurements in 2D Echocardiography Using Deep Neural Networks
2018
·
Erik Smistad
, Andreas Ostvik
, et al.
·
IEEE International Ultrasonics Symposium
·
21
Automated Segmentation and Quantification of the Right Ventricle in 2-D Echocardiography
2024
·
Artem Chernyshov
, Jahn Frederik Grue
, et al.
·
Ultrasound in Medicine & Biology
·
19
PDF
Segmentation of apical long axis, four- and two-chamber views using deep neural networks
2019
·
Erik Smistad
, Ivar Mjaland Salte
, et al.
·
IEEE International Ultrasonics Symposium
·
18
Annotation Web - An open-source web-based annotation tool for ultrasound images
2021
·
Erik Smistad
, Andreas Ostvik
, et al.
·
IEEE International Ultrasonics Symposium
·
17
Can a Dinosaur Think? Implementation of Artificial Intelligence in Extracorporeal Shock Wave Lithotripsy
2021
·
Sebastien Muller
, Håkon Abildsnes
, et al.
·
European Urology Open Science
·
16
PDF
Deep Learning Applied to Multi-Structure Segmentation in 2D Echocardiography: A Preliminary Investigation of the Required Database Size
2018
·
Sarah Leclerc
, Erik Smistad
, et al.
·
IEEE International Ultrasonics Symposium
·
16
Real-time guidance by deep learning of experienced operators to improve the standardization of echocardiographic acquisitions
2023
·
Sigbjorn Sabo
, David Pasdeloup
, et al.
·
European Heart Journal - Imaging Methods and Practice
·
14
PDF
Real-Time Global Longitudinal Strain During Echocardiography: A Deep Learning Platform for Improved Workflow
2025
·
Vegard Holmstrøm
, Erik Smistad
, et al.
·
Journal of the American Society of Echocardiography
·
9
PDF
Intraventricular pressure difference estimation based on blood speckle tracking—invasive validation and early clinical application
2025
·
Kristian Sørensen
, Solveig Fadnes
, et al.
·
European Heart Journal - Cardiovascular Imaging
·
9
PDF
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Works count:
91
Citation count:
1,354
H-index:
18
I10-index:
23
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