A. Largent
Impact in
- Radiation top 5%
- Advanced Radiotherapy Techniques
-
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced MRI Techniques and Applications
Papers in
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- Medical Imaging Techniques and Applications 9
- Radiomics and Machine Learning in Medical Imaging 6
- MRI in cancer diagnosis 2
- Advanced Neuroimaging Techniques and Applications 1
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- Advanced Radiotherapy Techniques 9
- Co-authors
- Oscar Acosta (12 shared papers)Jean‐Claude Nunes (11 shared papers)R. de Crevoisier (10 shared papers)C. Lafond (9 shared papers)A. Barateau (7 shared papers)J. Castelli (5 shared papers)Jason Dowling (6 shared papers)Peter B. Greer (6 shared papers)
- Journals
- Physica Medica (4 papers)International Journal of Radiation Oncology*Biology*Physics (2 papers)Journal of Magnetic Resonance Imaging (1 paper)Medical Physics (1 paper)World Journal of Urology (1 paper)
- Partner nations
- FranceAustraliaUnited States
In The Last Decade
A. Largent
13 papers receiving 343 citations
A. Largent's Hit Papers
Peers
Comparison fields: 5 of 41
- Radiation 200
- Radiology, Nuclear Medicine and Imaging 283
- Health Informatics 10
- Computer Vision and Pattern Recognition 58
- Biomedical Engineering 106
Countries citing papers authored by A. Largent
This map shows the geographic impact of A. Largent'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 A. Largent with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Largent more than expected).
Fields of papers citing papers by A. Largent
This network shows the impact of papers produced by A. Largent. 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 A. Largent. The network helps show where A. Largent may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Largent, 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 | Deep learning methods to generate synthetic CT from MRI in radiotherapy: A literature review Hit paper breakdown → | 2021 | 125 |
| 2 | 2019 | 64 | |
| 3 | 2020 | 46 | |
| 4 | 2018 | 36 | |
| 5 | 2020 | 16 | |
| 6 | 2021 | 15 | |
| 7 | 2018 | 14 | |
| 8 | 2022 | 12 | |
| 9 | 2017 | 5 | |
| 10 | 2017 | 4 | |
| 11 | 2019 | 2 | |
| 12 | 2018 | 2 | |
| 13 | 2019 | 2 |
About A. Largent
A. Largent is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation, Pulmonary and Respiratory Medicine, Biomedical Engineering and Pediatrics, Perinatology and Child Health, having authored 13 papers that have together received 343 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (9 papers), Medical Imaging Techniques and Applications (9 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Advanced X-ray and CT Imaging (3 papers), Prostate Cancer Diagnosis and Treatment (2 papers), MRI in cancer diagnosis (2 papers), Advanced Neuroimaging Techniques and Applications (1 paper) and Radiation Therapy and Dosimetry (1 paper). The work is most often cited by research in Radiation (200 citations), Radiology, Nuclear Medicine and Imaging (283 citations), Health Informatics (10 citations), Computer Vision and Pattern Recognition (58 citations) and Biomedical Engineering (106 citations). A. Largent has collaborated with scholars based in France, Australia and United States. Frequent co-authors include Oscar Acosta, Jean‐Claude Nunes, R. de Crevoisier, C. Lafond, A. Barateau, J. Castelli, Jason Dowling, Peter B. Greer, Hervé Saint‐Jalmes and Eugenia Mylona. Their work appears in journals such as Physica Medica, International Journal of Radiation Oncology*Biology*Physics, Journal of Magnetic Resonance Imaging, Medical Physics and World Journal of Urology.
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.