S. Lobregt
- Computer Vision and Pattern Recognition top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Biomedical Engineering
- Pulmonary and Respiratory Medicine
- Computational Mechanics top 10%
- Co-authors
- Max A. ViergeverF.C.A. GroenP.W. VerbeekFrans W. ZonneveldMarcel BreeuwerGilion HautvastFrans GerritsenMichael R. Kaus
- Topics
- Medical Image Segmentation Techniques (9 papers)Computer Graphics and Visualization Techniques (4 papers)Radiomics and Machine Learning in Medical Imaging (3 papers)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignRadiology, Nuclear Medicine and Imaging
- Journals
- IEEE Transactions on Pattern Analysis and Machine IntelligenceIEEE Transactions on Medical ImagingWorld Journal of Surgery
- Partner nations
- NetherlandsFinlandGermany
In The Last Decade
S. Lobregt
14 papers receiving 633 citations
Peers
Comparison fields: 5 of 94
- Computer Vision and Pattern Recognition 414
- Radiology, Nuclear Medicine and Imaging 236
- Biomedical Engineering 175
- Pulmonary and Respiratory Medicine 83
- Computational Mechanics 78
Countries citing papers authored by S. Lobregt
This map shows the geographic impact of S. Lobregt'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 S. Lobregt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Lobregt more than expected).
Fields of papers citing papers by S. Lobregt
This network shows the impact of papers produced by S. Lobregt. 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 S. Lobregt. The network helps show where S. Lobregt may publish in the future.
Co-authorship network of co-authors of S. Lobregt
This figure shows the co-authorship network connecting the top 25 collaborators of S. Lobregt. A scholar is included among the top collaborators of S. Lobregt 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 S. Lobregt. S. Lobregt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Automatic exclusion of papillary muscles and trabeculae from blood volume measurements in cine cardiac magnetic resonance images | 3 |
| 2 | 74 | |
| 3 | 3 | |
| 4 | 86 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 6 | |
| 8 | 10 | |
| 9 | 299 | |
| 10 | 17 | |
| 11 | 10 | |
| 12 | 50 | |
| 13 | 12 | |
| 14 | 107 |
About S. Lobregt
S. Lobregt is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 14 papers that have together received 685 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (9 papers), Computer Graphics and Visualization Techniques (4 papers) and Radiomics and Machine Learning in Medical Imaging (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (414 citations), Computer Graphics and Computer-Aided Design (48 citations) and Radiology, Nuclear Medicine and Imaging (236 citations). S. Lobregt has collaborated with scholars based in Netherlands, Finland and Germany. Frequent co-authors include Max A. Viergever, F.C.A. Groen, P.W. Verbeek, Frans W. Zonneveld, Marcel Breeuwer, Gilion Hautvast, Frans Gerritsen, Michael R. Kaus, Vladimír Pekar and Roel Truyen. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Medical Imaging and World Journal of Surgery.
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.