Denis Danthine
Impact in
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- Artificial Intelligence in Healthcare and Education
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- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
Papers in
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- Radiomics and Machine Learning in Medical Imaging 4
- COVID-19 diagnosis using AI 3
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- Sarcoma Diagnosis and Treatment 1
- Co-authors
- Philippe Lambin (4 shared papers)Seán Walsh (3 shared papers)Wim Vos (4 shared papers)Ralph T. H. Leijenaar (4 shared papers)Akshayaa Vaidyanathan (4 shared papers)Fadila Zerka (3 shared papers)Pierre Lovinfosse (6 shared papers)Louis Deprez (4 shared papers)
- Journals
- ERJ Open Research (1 paper)Frontiers in Oncology (1 paper)Medicinal Research Reviews (1 paper)Scientific Reports (1 paper)Journal of the Belgian Society of Radiology (2 papers)
- Partner nations
- BelgiumNetherlandsIreland
In The Last Decade
Denis Danthine
7 papers receiving 229 citations
Denis Danthine's Hit Papers
Peers
Comparison fields: 5 of 44
- Health Informatics 10
- Radiology, Nuclear Medicine and Imaging 101
- Obstetrics and Gynecology 10
- Hepatology 8
- Pulmonary and Respiratory Medicine 31
Countries citing papers authored by Denis Danthine
This map shows the geographic impact of Denis Danthine'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 Denis Danthine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Denis Danthine more than expected).
Fields of papers citing papers by Denis Danthine
This network shows the impact of papers produced by Denis Danthine. 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 Denis Danthine. The network helps show where Denis Danthine may publish in the future.
Co-authors
The 25 scholars most cited alongside Denis Danthine, 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 | A review in radiomics: Making personalized medicine a reality via routine imaging Hit paper breakdown → | 2021 | 213 |
| 2 | 2022 | 6 | |
| 3 | 2023 | 6 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | [Chest radiological lesions in COVID-19 : from classical imaging to artificial intelligence]. | 2020 | 1 |
| 7 | 2020 | 1 | |
| 8 | 2024 | 0 |
About Denis Danthine
Denis Danthine is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Obstetrics and Gynecology, Surgery and Structural Biology, having authored 8 papers that have together received 230 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), COVID-19 diagnosis using AI (3 papers), Sarcoma Diagnosis and Treatment (1 paper), Endometrial and Cervical Cancer Treatments (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), Gynecological conditions and treatments (1 paper), Advanced X-ray and CT Imaging (1 paper) and Advanced Electron Microscopy Techniques and Applications (1 paper). The work is most often cited by research in Health Informatics (10 citations), Radiology, Nuclear Medicine and Imaging (101 citations), Obstetrics and Gynecology (10 citations), Hepatology (8 citations) and Pulmonary and Respiratory Medicine (31 citations). Denis Danthine has collaborated with scholars based in Belgium, Netherlands and Ireland. Frequent co-authors include Philippe Lambin, Seán Walsh, Wim Vos, Ralph T. H. Leijenaar, Akshayaa Vaidyanathan, Fadila Zerka, Pierre Lovinfosse, Louis Deprez, Roland Hustinx and Julien Guiot. Their work appears in journals such as ERJ Open Research, Frontiers in Oncology, Medicinal Research Reviews, Scientific Reports and Journal of the Belgian Society of Radiology.
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.