Raphaël Prevost
Impact in
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
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- Radiomics and Machine Learning in Medical Imaging
- Ultrasound Imaging and Elastography
Papers in
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- Medical Image Segmentation Techniques 16
- Advanced Neural Network Applications 7
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- Ultrasound Imaging and Elastography 4
- MRI in cancer diagnosis 4
- Co-authors
- Roberto Ardon (13 shared papers)Benoît Mory (10 shared papers)Wolfgang Wein (11 shared papers)Mehrdad Salehi (7 shared papers)Rémi Cuingnet (8 shared papers)Laurent D. Cohen (8 shared papers)David Lesage (2 shared papers)Oliver Zettinig (7 shared papers)
- Journals
- Lecture notes in computer science (16 papers)Medical Image Analysis (1 paper)UCL Discovery (University College London) (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (5 papers)
- Partner nations
- FranceGermanyUnited Kingdom
In The Last Decade
Raphaël Prevost
27 papers receiving 479 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 241
- Radiology, Nuclear Medicine and Imaging 173
- Health Informatics 6
- Biomedical Engineering 156
- Artificial Intelligence 85
Countries citing papers authored by Raphaël Prevost
This map shows the geographic impact of Raphaël Prevost'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 Raphaël Prevost with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raphaël Prevost more than expected).
Fields of papers citing papers by Raphaël Prevost
This network shows the impact of papers produced by Raphaël Prevost. 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 Raphaël Prevost. The network helps show where Raphaël Prevost may publish in the future.
Co-authors
The 25 scholars most cited alongside Raphaël Prevost, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 137 | |
| 2 | 2018 | 110 | |
| 3 | 2017 | 33 | |
| 4 | 2017 | 33 | |
| 5 | 2015 | 31 | |
| 6 | 2012 | 24 | |
| 7 | 2013 | 18 | |
| 8 | 2013 | 16 | |
| 9 | 2022 | 16 | |
| 10 | 2012 | 15 | |
| 11 | 2020 | 8 | |
| 12 | 2013 | 8 | |
| 13 | 2023 | 6 | |
| 14 | 2013 | 5 | |
| 15 | 2014 | 5 | |
| 16 | 2023 | 5 | |
| 17 | 2013 | 4 | |
| 18 | 2014 | 4 | |
| 19 | Template Deformation with User Constraints for Live 3D Interactive Surface Extraction | 2011 | 3 |
| 20 | 2012 | 3 |
About Raphaël Prevost
Raphaël Prevost is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Computer Graphics and Computer-Aided Design, Biomedical Engineering and Oral Surgery, having authored 28 papers that have together received 494 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (16 papers), Advanced Neural Network Applications (7 papers), Ultrasound Imaging and Elastography (4 papers), Medical Imaging and Analysis (4 papers), MRI in cancer diagnosis (4 papers), Computer Graphics and Visualization Techniques (3 papers), 3D Shape Modeling and Analysis (3 papers) and Colorectal Cancer Screening and Detection (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (241 citations), Radiology, Nuclear Medicine and Imaging (173 citations), Health Informatics (6 citations), Biomedical Engineering (156 citations) and Artificial Intelligence (85 citations). Raphaël Prevost has collaborated with scholars based in France, Germany and United Kingdom. Frequent co-authors include Roberto Ardon, Benoît Mory, Wolfgang Wein, Mehrdad Salehi, Rémi Cuingnet, Laurent D. Cohen, David Lesage, Oliver Zettinig, Robert S. Bauer and Alexander Ladikos. Their work appears in journals such as Lecture notes in computer science, Medical Image Analysis, UCL Discovery (University College London), Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and HAL (Le Centre pour la Communication Scientifique Directe).
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.