Andreas Østvik

1.2k total citations
35 papers, 663 citations indexed

About

Andreas Østvik is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Andreas Østvik has authored 35 papers receiving a total of 663 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Cardiology and Cardiovascular Medicine, 23 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Andreas Østvik's work include Cardiovascular Function and Risk Factors (22 papers), Cardiac Imaging and Diagnostics (19 papers) and Cardiac Valve Diseases and Treatments (15 papers). Andreas Østvik is often cited by papers focused on Cardiovascular Function and Risk Factors (22 papers), Cardiac Imaging and Diagnostics (19 papers) and Cardiac Valve Diseases and Treatments (15 papers). Andreas Østvik collaborates with scholars based in Norway, France and Canada. Andreas Østvik's co-authors include Lasse Løvstakken, Erik Smistad, Bjørn Olav Haugen, Bjørnar Grenne, Ivar Mjåland Salte, Harald Brunvand, Thor Edvardsen, Kristina H. Haugaa, Svein Arne Aase and Thuy Mi Nguyen and has published in prestigious journals such as IEEE Access, IEEE Transactions on Medical Imaging and JACC. Cardiovascular imaging.

In The Last Decade

Andreas Østvik

28 papers receiving 652 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Andreas Østvik Norway 15 431 424 107 91 83 35 663
Aashish Goela Canada 15 258 0.6× 305 0.7× 147 1.4× 135 1.5× 58 0.7× 41 614
Svein Arne Aase Norway 13 709 1.6× 530 1.3× 115 1.1× 22 0.2× 77 0.9× 29 886
Christina Luong Canada 13 426 1.0× 232 0.5× 74 0.7× 33 0.4× 209 2.5× 55 801
Laura A. Hallock United States 4 329 0.8× 287 0.7× 102 1.0× 17 0.2× 80 1.0× 6 600
Sravani Gajjala United States 3 329 0.8× 284 0.7× 76 0.7× 17 0.2× 81 1.0× 7 575
Georg Schummers Germany 11 830 1.9× 661 1.6× 102 1.0× 17 0.2× 75 0.9× 22 1.0k
Amir H. Abdi Canada 10 127 0.3× 167 0.4× 96 0.9× 50 0.5× 43 0.5× 23 392
Ali Chaudhry United States 6 144 0.3× 151 0.4× 48 0.4× 26 0.3× 37 0.4× 16 332
Soo‐Jin Kang South Korea 18 807 1.9× 792 1.9× 222 2.1× 35 0.4× 107 1.3× 66 1.3k
Gabriel Kiss Norway 12 131 0.3× 260 0.6× 71 0.7× 87 1.0× 130 1.6× 59 549

Countries citing papers authored by Andreas Østvik

Since Specialization
Citations

This map shows the geographic impact of Andreas Østvik's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Andreas Østvik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Østvik more than expected).

Fields of papers citing papers by Andreas Østvik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andreas Østvik. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Andreas Østvik. The network helps show where Andreas Østvik may publish in the future.

Co-authorship network of co-authors of Andreas Østvik

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Østvik. A scholar is included among the top collaborators of Andreas Østvik based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andreas Østvik. Andreas Østvik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hu, Jieyu, Andreas Østvik, Espen Holte, et al.. (2025). A deep learning-based pipeline for large-scale echocardiography data curation and measurements. European Heart Journal - Digital Health. 6(6). 1194–1203.
2.
Måsøy, Svein‐Erik, Håvard Dalen, Bjørnar Grenne, et al.. (2025). Regional Image Quality Scoring for 2-D Echocardiography Using Deep Learning. Ultrasound in Medicine & Biology. 51(4). 638–649. 2 indexed citations
3.
Østvik, Andreas, Erik Smistad, Bjørnar Grenne, et al.. (2025). Effect of apical foreshortening and transducer angulation on strain measurements: a quantitative investigation. European Heart Journal - Cardiovascular Imaging. 26(Supplement_1).
4.
Smistad, Erik, Andreas Østvik, Espen Holte, et al.. (2025). Deep learning in echocardiography: real-time measurements of left ventricular wall thickness and chamber dimensions in the parasternal long-axis view. European Heart Journal - Cardiovascular Imaging. 26(Supplement_1).
5.
Østvik, Andreas, et al.. (2025). Challenges and Strategies for Deep Learning in Cardiovascular Imaging. JACC. Cardiovascular imaging. 18(7). 751–764.
6.
Smistad, Erik, Espen Holte, Lasse Løvstakken, et al.. (2025). Real-Time Global Longitudinal Strain During Echocardiography: A Deep Learning Platform for Improved Workflow. Journal of the American Society of Echocardiography. 38(11). 1041–1051.
7.
Grenne, Bjørnar, et al.. (2024). Automated Segmentation and Quantification of the Right Ventricle in 2-D Echocardiography. Ultrasound in Medicine & Biology. 50(4). 540–548. 5 indexed citations
8.
Remme, Espen W., Lasse Løvstakken, Håvard Dalen, et al.. (2024). Cardiac Valve Event Timing in Echocardiography Using Deep Learning and Triplane Recordings. IEEE Journal of Biomedical and Health Informatics. 28(5). 2759–2768. 2 indexed citations
9.
Østvik, Andreas, Ivar Mjåland Salte, Sigve Karlsen, et al.. (2024). Deep learning improves test–retest reproducibility of regional strain in echocardiography. PubMed. 2(4). qyae092–qyae092. 1 indexed citations
10.
Smistad, Erik, Jieyu Hu, Andreas Østvik, et al.. (2023). Automatic measurements of left ventricular volumes and ejection fraction by artificial intelligence: clinical validation in real time and large databases. European Heart Journal - Cardiovascular Imaging. 25(3). 383–395. 22 indexed citations
11.
Smistad, Erik, Andreas Østvik, Bjørnar Grenne, et al.. (2023). Real-time guidance by deep learning of experienced operators to improve the standardization of echocardiographic acquisitions. PubMed. 1(2). qyad040–qyad040. 5 indexed citations
12.
Salte, Ivar Mjåland, Andreas Østvik, Sigve Karlsen, et al.. (2023). Deep Learning for Improved Precision and Reproducibility of Left Ventricular Strain in Echocardiography: A Test-Retest Study. Journal of the American Society of Echocardiography. 36(7). 788–799. 23 indexed citations
13.
Østvik, Andreas, et al.. (2023). Echocardiographic Reference Ranges of Global Longitudinal Strain for All Cardiac Chambers Using Guideline-Directed Dedicated Views. JACC. Cardiovascular imaging. 16(12). 1516–1531. 59 indexed citations
14.
Østvik, Andreas, Ivar Mjåland Salte, Erik Smistad, et al.. (2021). Myocardial Function Imaging in Echocardiography Using Deep Learning. IEEE Transactions on Medical Imaging. 40(5). 1340–1351. 47 indexed citations
15.
Müller, Sébastien, et al.. (2021). Can a Dinosaur Think? Implementation of Artificial Intelligence in Extracorporeal Shock Wave Lithotripsy. European Urology Open Science. 27. 33–42. 10 indexed citations
16.
Salte, Ivar Mjåland, Andreas Østvik, Erik Smistad, et al.. (2021). Artificial Intelligence for Automatic Measurement of Left Ventricular Strain in Echocardiography. JACC. Cardiovascular imaging. 14(10). 1918–1928. 86 indexed citations
17.
Smistad, Erik, Andreas Østvik, Ivar Mjåland Salte, et al.. (2020). Real-Time Automatic Ejection Fraction and Foreshortening Detection Using Deep Learning. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 67(12). 2595–2604. 53 indexed citations
18.
Østvik, Andreas, et al.. (2019). High Performance Neural Network Inference, Streaming, and Visualization of Medical Images Using FAST. IEEE Access. 7. 136310–136321. 23 indexed citations
19.
Østvik, Andreas, Erik Smistad, Svein Arne Aase, Bjørn Olav Haugen, & Lasse Løvstakken. (2018). Real-Time Standard View Classification in Transthoracic Echocardiography Using Convolutional Neural Networks. Ultrasound in Medicine & Biology. 45(2). 374–384. 82 indexed citations
20.
Smistad, Erik, Andreas Østvik, Bjørn Olav Haugen, & Lasse Løvstakken. (2017). 2D left ventricle segmentation using deep learning. 2017 IEEE International Ultrasonics Symposium (IUS). 1–4. 50 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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