Mathilde Bateson
Impact in
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- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- MRI in cancer diagnosis
- Medical Imaging Techniques and Applications
Papers in
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- COVID-19 diagnosis using AI 2
- Medical Imaging Techniques and Applications 1
- Radiomics and Machine Learning in Medical Imaging 1
- Radiopharmaceutical Chemistry and Applications 1
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- Advanced Neural Network Applications 2
- Co-authors
- Ismail Ben Ayed (2 shared papers)Hoel Kervadec (2 shared papers)José Dolz (2 shared papers)Hervé Lombaert (2 shared papers)Laurent Dercle (1 shared paper)Christophe Massard (1 shared paper)Jean‐Charles Soria (1 shared paper)Cyril Jaudet (1 shared paper)
In The Last Decade
Mathilde Bateson
4 papers receiving 153 citations
Peers
Comparison fields: 5 of 49
- Radiology, Nuclear Medicine and Imaging 99
- Health Informatics 3
- Computer Vision and Pattern Recognition 44
- Artificial Intelligence 42
- Nephrology 8
Countries citing papers authored by Mathilde Bateson
This map shows the geographic impact of Mathilde Bateson'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 Mathilde Bateson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathilde Bateson more than expected).
Fields of papers citing papers by Mathilde Bateson
This network shows the impact of papers produced by Mathilde Bateson. 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 Mathilde Bateson. The network helps show where Mathilde Bateson may publish in the future.
Co-authors
The 16 scholars most cited alongside Mathilde Bateson, 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 | 2017 | 68 | |
| 2 | 2022 | 50 | |
| 3 | 2021 | 19 | |
| 4 | 2016 | 17 | |
| 5 | KEEP ON TRACKING | 2002 | 0 |
About Mathilde Bateson
Mathilde Bateson is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Artificial Intelligence, Molecular Biology and Epidemiology, having authored 5 papers that have together received 154 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (2 papers), Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Medical Imaging Techniques and Applications (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper), Radiopharmaceutical Chemistry and Applications (1 paper) and Traditional Chinese Medicine Studies (1 paper). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (99 citations), Health Informatics (3 citations), Computer Vision and Pattern Recognition (44 citations), Artificial Intelligence (42 citations) and Nephrology (8 citations). Mathilde Bateson has collaborated with scholars based in France, Canada and Belgium. Frequent co-authors include Ismail Ben Ayed, Hoel Kervadec, José Dolz, Hervé Lombaert, Laurent Dercle, Christophe Massard, Jean‐Charles Soria, Cyril Jaudet, Andréa Varga and Charles Ferté. Their work appears in journals such as IEEE Transactions on Medical Imaging, Scientific Reports, Medical Image Analysis and PLoS ONE.
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.