Eigil Samset

2.4k total citations
103 papers, 1.7k citations indexed

About

Eigil Samset is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Eigil Samset has authored 103 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Radiology, Nuclear Medicine and Imaging, 33 papers in Biomedical Engineering and 32 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Eigil Samset's work include Cardiac Valve Diseases and Treatments (19 papers), Medical Image Segmentation Techniques (18 papers) and Surgical Simulation and Training (17 papers). Eigil Samset is often cited by papers focused on Cardiac Valve Diseases and Treatments (19 papers), Medical Image Segmentation Techniques (18 papers) and Surgical Simulation and Training (17 papers). Eigil Samset collaborates with scholars based in Norway, United States and Belgium. Eigil Samset's co-authors include Henry Hirschberg, Christophe Leclercq, Elena Galli, Philippe Mabo, Arnaud Hubert, Erwan Donal, Erik Fosse, Petter Risholm, Jan D’hooge and Alfredo Hernández and has published in prestigious journals such as IEEE Access, IEEE Transactions on Medical Imaging and Statistics in Medicine.

In The Last Decade

Eigil Samset

98 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eigil Samset Norway 25 628 605 444 351 314 103 1.7k
Dan Adam Israel 25 814 1.3× 918 1.5× 616 1.4× 266 0.8× 172 0.5× 79 1.9k
András Lassó Canada 21 593 0.9× 188 0.3× 826 1.9× 727 2.1× 459 1.5× 124 1.8k
Walter G. O’Dell United States 18 709 1.1× 368 0.6× 332 0.7× 125 0.4× 191 0.6× 46 1.2k
Matthew McCormick United States 17 422 0.7× 296 0.5× 332 0.7× 146 0.4× 147 0.5× 54 1.0k
Óscar Cámara Spain 28 1.1k 1.7× 1.4k 2.4× 497 1.1× 201 0.6× 606 1.9× 154 3.0k
Ivo Wolf Germany 23 786 1.3× 320 0.5× 795 1.8× 693 2.0× 936 3.0× 124 2.6k
Tommaso Mansi United States 24 646 1.0× 649 1.1× 442 1.0× 220 0.6× 481 1.5× 80 1.8k
Wolfgang Wein Germany 24 727 1.2× 78 0.1× 631 1.4× 320 0.9× 673 2.1× 70 1.8k
Ali Khamene United States 19 543 0.9× 184 0.3× 844 1.9× 385 1.1× 703 2.2× 64 1.9k
Nicholas J. Hangiandreou United States 21 1.4k 2.2× 115 0.2× 743 1.7× 198 0.6× 134 0.4× 76 1.9k

Countries citing papers authored by Eigil Samset

Since Specialization
Citations

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

Fields of papers citing papers by Eigil Samset

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eigil Samset

This figure shows the co-authorship network connecting the top 25 collaborators of Eigil Samset. A scholar is included among the top collaborators of Eigil Samset 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 Eigil Samset. Eigil Samset 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.
Larsen, C K, John M. Aalen, Esther Scheirlynck, et al.. (2024). A deep learning based method for left ventricular strain measurements: repeatability and accuracy compared to experienced echocardiographers. BMC Medical Imaging. 24(1). 305–305.
2.
Skulstad, Helge, et al.. (2023). Deep learning for automated left ventricular outflow tract diameter measurements in 2D echocardiography. Cardiovascular Ultrasound. 21(1). 19–19.
3.
Samset, Eigil, et al.. (2022). Mitral Annulus Segmentation and Anatomical Orientation Detection in TEE Images Using Periodic 3D CNN. IEEE Access. 10. 51472–51486. 7 indexed citations
4.
Salles, Sébastien, et al.. (2020). Detection of Tissue Fibrosis using Natural Mechanical Wave Velocity Estimation: Feasibility Study. Ultrasound in Medicine & Biology. 46(9). 2481–2492. 13 indexed citations
5.
Veronesi, Federico, et al.. (2019). Mitral Annulus Segmentation Using Deep Learning in 3-D Transesophageal Echocardiography. IEEE Journal of Biomedical and Health Informatics. 24(4). 994–1003. 31 indexed citations
6.
Remme, Espen W., Sébastien Salles, John M. Aalen, et al.. (2019). Detection of Regional Mechanical Activation of the Left Ventricular Myocardium Using High Frame Rate Ultrasound Imaging. IEEE Transactions on Medical Imaging. 38(11). 2665–2675. 11 indexed citations
7.
Bijl, Pieter van der, Mohammed El Mahdiui, Gunnar Hansen, et al.. (2019). A Roadmap to Assess Myocardial Work. JACC. Cardiovascular imaging. 12(12). 2549–2554. 37 indexed citations
8.
Galli, Elena, Christophe Leclercq, Maxime Fournet, et al.. (2017). Value of Myocardial Work Estimation in the Prediction of Response to Cardiac Resynchronization Therapy. Journal of the American Society of Echocardiography. 31(2). 220–230. 105 indexed citations
9.
Hermans, Jeroen, et al.. (2016). Delay and Standard Deviation Beamforming to Enhance Specular Reflections in Ultrasound Imaging. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 63(12). 2057–2068. 32 indexed citations
10.
Freudenthal, A., et al.. (2010). Collaborative co-design of emerging multi-technologies for surgery. Journal of Biomedical Informatics. 44(2). 198–215. 17 indexed citations
11.
Badke‐Schaub, Petra, et al.. (2009). Cognitive processes as integrative component for developing expert decision-making systems: A workflow centered framework. Journal of Biomedical Informatics. 43(1). 60–74. 24 indexed citations
12.
Folkesson, Jenny, Eigil Samset, Raymond Y. Kwong, & Carl‐Fredrik Westin. (2008). Unifying Statistical Classification and Geodesic Active Regions for Segmentation of Cardiac MRI. IEEE Transactions on Information Technology in Biomedicine. 12(3). 328–334. 14 indexed citations
13.
Balasingham, Ilangko, et al.. (2007). Communication of Medical Images, Text, and Messages in Inter-Enterprise Systems: A Case Study in Norway. IEEE Transactions on Information Technology in Biomedicine. 11(1). 7–13. 14 indexed citations
14.
Kalkofen, Denis, Bernhard Reitinger, Petter Risholm, et al.. (2006). Integrated Medical Workflow for Augmented Reality Applications. 11 indexed citations
15.
Samset, Eigil. (2006). Temperature mapping of thermal ablation using MRI. Minimally Invasive Therapy & Allied Technologies. 15(1). 36–41. 19 indexed citations
16.
Balasingham, Ilangko, et al.. (2006). Wireless Continuous Arterial Blood Pressure Monitoring During Surgery: A Pilot Study. Anesthesia & Analgesia. 102(2). 478–483. 12 indexed citations
17.
Samset, Eigil, Tom Mala, Lars Aurdal, & Ilangko Balasingham. (2005). Intra-operative visualisation of 3D temperature maps and 3D navigation during tissue cryoablation. Computerized Medical Imaging and Graphics. 29(6). 499–505. 7 indexed citations
18.
Fosse, Erik, et al.. (2004). Integrating surgery and radiology in one suite: A multicenter study. Journal of Vascular Surgery. 40(3). 494–499. 28 indexed citations
19.
Skjeldal, S., Finn Lilleås, Gunnar Follerås, et al.. (2000). Real time MRI-guided excision and cryo-treatment of osteoid osteoma in os ischii--a case report. Acta Orthopaedica Scandinavica. 71(6). 637–638. 40 indexed citations
20.
Samset, Eigil & Henry Hirschberg. (1999). Neuronavigation in intraoperative MRI. Computer Aided Surgery. 4(4). 200–207. 24 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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