David Lesage
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- Medical Image Segmentation Techniques 9
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- MRI in cancer diagnosis 3
- Medical Imaging Techniques and Applications 3
- Radiomics and Machine Learning in Medical Imaging 2
- Cardiac Imaging and Diagnostics 2
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis 3
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- Medical Imaging and Analysis 3
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- Cardiovascular Function and Risk Factors 2
- Co-authors
- Isabelle BlochGareth Funka-LeaElsa D. AngeliniRémi CuingnetRafael DuránMingDe LinLaurent D. CohenRoberto Ardon
- Journals
- Computer Methods in Applied Mechanics and Engineering (1 paper)Radiology (1 paper)Magnetic Resonance Imaging (1 paper)
- Partner nations
- FranceUnited StatesJapan
In The Last Decade
David Lesage
15 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Computer Vision and Pattern Recognition 530
- Radiology, Nuclear Medicine and Imaging 561
- Hepatology 151
- Pulmonary and Respiratory Medicine 321
- Computer Graphics and Computer-Aided Design 30
Countries citing papers authored by David Lesage
This map shows the geographic impact of David Lesage'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 David Lesage with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Lesage more than expected).
Fields of papers citing papers by David Lesage
This network shows the impact of papers produced by David Lesage. 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 David Lesage. The network helps show where David Lesage may publish in the future.
Co-authorship network
The 25 scholars most cited alongside David Lesage, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 18 | |
| 2 | 2016 | 29 | |
| 3 | 2016 | 5 | |
| 4 | 2015 | 59 | |
| 5 | 2015 | 9 | |
| 6 | 2014 | 33 | |
| 7 | 2014 | 91 | |
| 8 | 2014 | 13 | |
| 9 | 2012 | 105 | |
| 10 | A review of 3D vessel lumen segmentation techniques: Models, features and extraction schemesbreakdown → | 2009 | 619 |
| 11 | 2009 | 30 | |
| 12 | 2009 | 13 | |
| 13 | 2008 | 27 | |
| 14 | 2006 | 14 | |
| 15 | 2005 | 1 |
About David Lesage
David Lesage is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging, Hepatology, Geology and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (9 papers), MRI in cancer diagnosis (3 papers), Medical Imaging Techniques and Applications (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Medical Imaging and Analysis (3 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Cardiac Imaging and Diagnostics (2 papers) and Cardiovascular Function and Risk Factors (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (530 citations), Radiology, Nuclear Medicine and Imaging (561 citations), Hepatology (151 citations), Pulmonary and Respiratory Medicine (321 citations) and Computer Graphics and Computer-Aided Design (30 citations). David Lesage has collaborated with scholars based in France, United States and Japan. Frequent co-authors include Isabelle Bloch, Gareth Funka-Lea, Elsa D. Angelini, Rémi Cuingnet, Rafael Durán, MingDe Lin, Laurent D. Cohen, Roberto Ardon, Benoît Mory and Jean-François H. Geschwind. Their work appears in journals such as Computer Methods in Applied Mechanics and Engineering, Radiology, Magnetic Resonance Imaging, Academic Radiology and Medical Image Analysis.
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.