Lasse Løvstakken

4.2k total citations
172 papers, 2.7k citations indexed

About

Lasse Løvstakken is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Lasse Løvstakken has authored 172 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 119 papers in Radiology, Nuclear Medicine and Imaging, 88 papers in Cardiology and Cardiovascular Medicine and 61 papers in Biomedical Engineering. Recurrent topics in Lasse Løvstakken's work include Ultrasound Imaging and Elastography (74 papers), Cardiovascular Function and Risk Factors (58 papers) and Advanced MRI Techniques and Applications (40 papers). Lasse Løvstakken is often cited by papers focused on Ultrasound Imaging and Elastography (74 papers), Cardiovascular Function and Risk Factors (58 papers) and Advanced MRI Techniques and Applications (40 papers). Lasse Løvstakken collaborates with scholars based in Norway, Belgium and France. Lasse Løvstakken's co-authors include Hans Torp, Ingvild Kinn Ekroll, Abigaïl Swillens, Patrick Segers, Andreas Østvik, Erik Smistad, Solveig Fadnes, Alfred C. H. Yu, Siri Ann Nyrnes and Bjørn Olav Haugen and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Heart Journal and The Journal of the Acoustical Society of America.

In The Last Decade

Lasse Løvstakken

157 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lasse Løvstakken Norway 29 1.8k 1.2k 1.1k 459 395 172 2.7k
Bjørn Angelsen Norway 23 1.3k 0.7× 1.4k 1.1× 864 0.8× 263 0.6× 385 1.0× 93 2.4k
Johan G. Bosch Netherlands 29 1.9k 1.0× 1.2k 1.0× 1.3k 1.2× 305 0.7× 581 1.5× 231 3.5k
Cristina Pislaru United States 24 1.4k 0.8× 1.1k 0.9× 702 0.6× 271 0.6× 234 0.6× 91 2.0k
Kristoffer Lindskov Hansen Denmark 24 1.1k 0.6× 506 0.4× 657 0.6× 254 0.6× 345 0.9× 111 1.7k
W.N. McDicken United Kingdom 29 1.8k 1.0× 1.4k 1.1× 1.2k 1.1× 250 0.5× 430 1.1× 142 3.5k
Marcel Arditi Switzerland 28 1.3k 0.7× 264 0.2× 2.0k 1.8× 472 1.0× 259 0.7× 78 2.8k
Richard G. P. Lopata Netherlands 22 1.0k 0.6× 825 0.7× 986 0.9× 210 0.5× 386 1.0× 143 1.9k
Peter R. Hoskins United Kingdom 38 2.0k 1.1× 1.7k 1.4× 1.6k 1.5× 299 0.7× 1.3k 3.3× 153 4.5k
Robert W. Gill Australia 17 867 0.5× 482 0.4× 619 0.6× 261 0.6× 434 1.1× 39 2.2k
Peter J. Brands Netherlands 26 1.2k 0.6× 1.7k 1.4× 951 0.9× 292 0.6× 614 1.6× 63 2.7k

Countries citing papers authored by Lasse Løvstakken

Since Specialization
Citations

This map shows the geographic impact of Lasse Løvstakken'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 Lasse Løvstakken with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lasse Løvstakken more than expected).

Fields of papers citing papers by Lasse Løvstakken

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lasse Løvstakken. 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 Lasse Løvstakken. The network helps show where Lasse Løvstakken may publish in the future.

Co-authorship network of co-authors of Lasse Løvstakken

This figure shows the co-authorship network connecting the top 25 collaborators of Lasse Løvstakken. A scholar is included among the top collaborators of Lasse Løvstakken 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 Lasse Løvstakken. Lasse Løvstakken 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.
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
2.
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.
3.
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
4.
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
5.
Løvstakken, Lasse, et al.. (2024). Subpixel segmentation of borehole fractures from low resolution Doppler ultrasound images using machine learning. Geoenergy Science and Engineering. 235. 212703–212703. 3 indexed citations
6.
7.
Dalen, Håvard, et al.. (2024). Toward Robust Cardiac Segmentation Using Graph Convolutional Networks. IEEE Access. 12. 33876–33888. 4 indexed citations
8.
Måsøy, Svein‐Erik, et al.. (2024). Deep Learning for Automated Egg Maturation Prediction of Atlantic Salmon Using Ultrasound Imaging. IEEE Access. 12. 80233–80243. 1 indexed citations
9.
Dalen, Håvard, et al.. (2023). Mechanical Wave Velocities in Left Ventricular Walls in Healthy Subjects and Patients With Aortic Stenosis. JACC. Cardiovascular imaging. 17(2). 111–124. 7 indexed citations
10.
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
11.
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
12.
13.
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
14.
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
15.
Ramalli, Alessandro, et al.. (2020). High-Frame-Rate Color Doppler Echocardiography: A Quantitative Comparison of Different Approaches. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 67(5). 923–933. 6 indexed citations
16.
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
17.
Løvstakken, Lasse, Solveig Fadnes, Alfonso J. Rodríguez‐Morales, et al.. (2016). Assessing the Performance of Ultrafast Vector Flow Imaging in the Neonatal Heart via Multiphysics Modeling and <italic>In Vitro</italic> Experiments. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 63(11). 1772–1785. 25 indexed citations
18.
Swillens, Abigaïl, Joris Degroote, Jan Vierendeels, Lasse Løvstakken, & Patrick Segers. (2010). A simulation environment for validating ultrasonic blood flow and vessel wall imaging based on fluid‐structure interaction simulations: Ultrasonic assessment of arterial distension and wall shear rate. Medical Physics. 37(8). 4318–4330. 35 indexed citations
19.
Swillens, Abigaïl, et al.. (2009). Ultrasound simulation of complex flow velocity fields based on computational fluid dynamics. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 56(3). 546–556. 62 indexed citations
20.
Solheim, Ole, Tormod Selbekk, Lasse Løvstakken, et al.. (2009). Intrasellar Ultrasound in Transsphenoidal Surgery. Neurosurgery. 66(1). 173–186. 33 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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