Bram Platel
Impact in
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- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Neurology top 5%
- Neurological disorders and treatments
Papers in
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- Radiomics and Machine Learning in Medical Imaging 14
- MRI in cancer diagnosis 13
- Advanced Neuroimaging Techniques and Applications 8
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- Medical Image Segmentation Techniques 14
- Image Retrieval and Classification Techniques 10
- Advanced Image and Video Retrieval Techniques 10
- Co-authors
- Nico Karssemeijer (25 shared papers)Ritse M. Mann (22 shared papers)Roel D. M. Mus (8 shared papers)Mohsen Ghafoorian (17 shared papers)Bart M. ter Haar Romeny (21 shared papers)Albert Gubern‐Mérida (8 shared papers)Frank‐Erik de Leeuw (10 shared papers)Jan C. M. van Zelst (7 shared papers)
- Journals
- Medical Physics (6 papers)Neurology (4 papers)European Journal of Radiology (4 papers)Scientific Reports (3 papers)IEEE Transactions on Medical Imaging (3 papers)
- Partner nations
- NetherlandsGermanyUnited States
In The Last Decade
Bram Platel
82 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 146
- Radiology, Nuclear Medicine and Imaging 1.1k
- Neurology 233
- Neurology 361
- Computer Vision and Pattern Recognition 503
- Computational Mathematics 14
Countries citing papers authored by Bram Platel
This map shows the geographic impact of Bram Platel'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 Bram Platel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bram Platel more than expected).
Fields of papers citing papers by Bram Platel
This network shows the impact of papers produced by Bram Platel. 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 Bram Platel. The network helps show where Bram Platel may publish in the future.
Co-authors
The 25 scholars most cited alongside Bram Platel, 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 82 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 187 | |
| 2 | 2014 | 175 | |
| 3 | 2014 | 145 | |
| 4 | 2020 | 139 | |
| 5 | 2012 | 120 | |
| 6 | 2014 | 114 | |
| 7 | 2017 | 92 | |
| 8 | 2015 | 87 | |
| 9 | 2013 | 86 | |
| 10 | 2017 | 83 | |
| 11 | 2018 | 81 | |
| 12 | 2017 | 76 | |
| 13 | 2012 | 69 | |
| 14 | 2016 | 66 | |
| 15 | 2013 | 60 | |
| 16 | 2016 | 57 | |
| 17 | 2016 | 56 | |
| 18 | 2007 | 52 | |
| 19 | 2017 | 50 | |
| 20 | 2011 | 47 |
About Bram Platel
Bram Platel is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Neurology, Artificial Intelligence and Neurology, having authored 82 papers that have together received 2.6k indexed citations. Recurring topics across this work include AI in cancer detection (17 papers), Medical Image Segmentation Techniques (14 papers), Radiomics and Machine Learning in Medical Imaging (14 papers), MRI in cancer diagnosis (13 papers), Image Retrieval and Classification Techniques (10 papers), Advanced Image and Video Retrieval Techniques (10 papers), Digital Radiography and Breast Imaging (8 papers) and Advanced Neuroimaging Techniques and Applications (8 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (1.1k citations), Neurology (233 citations), Neurology (361 citations), Computer Vision and Pattern Recognition (503 citations) and Computational Mathematics (14 citations). Bram Platel has collaborated with scholars based in Netherlands, Germany and United States. Frequent co-authors include Nico Karssemeijer, Ritse M. Mann, Roel D. M. Mus, Mohsen Ghafoorian, Bart M. ter Haar Romeny, Albert Gubern‐Mérida, Frank‐Erik de Leeuw, Jan C. M. van Zelst, Tao Tan and Robert Martí. Their work appears in journals such as Medical Physics, Neurology, European Journal of Radiology, Scientific Reports and IEEE Transactions on Medical Imaging.
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.