Rupert Brooks
Impact in
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- Medical Image Segmentation Techniques
- Advanced Neural Network Applications
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- Radiomics and Machine Learning in Medical Imaging
Papers in
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- Medical Image Segmentation Techniques 10
- Advanced Image and Video Retrieval Techniques 7
- Advanced Vision and Imaging 4
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- AI in cancer detection 7
- Co-authors
- Hassan Rivaz (5 shared papers)Mina Amiri (2 shared papers)Tal Arbel (8 shared papers)Stefan Delorme (2 shared papers)Denis Laroche (2 shared papers)Xavier Morandi (1 shared paper)Robert DiRaddo (1 shared paper)Ryan C.N. D’Arcy (1 shared paper)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (2 papers)Radiology Artificial Intelligence (1 paper)International Journal of Computer Assisted Radiology and Surgery (1 paper)IEEE Transactions on Medical Imaging (1 paper)International Journal of Computer Vision (1 paper)
- Partner nations
- CanadaUnited StatesSweden
In The Last Decade
Rupert Brooks
22 papers receiving 278 citations
Peers
Comparison fields: 5 of 72
- Computer Vision and Pattern Recognition 113
- Radiology, Nuclear Medicine and Imaging 119
- Health Informatics 5
- Radiation 23
- Artificial Intelligence 72
Countries citing papers authored by Rupert Brooks
This map shows the geographic impact of Rupert Brooks'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 Rupert Brooks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rupert Brooks more than expected).
Fields of papers citing papers by Rupert Brooks
This network shows the impact of papers produced by Rupert Brooks. 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 Rupert Brooks. The network helps show where Rupert Brooks may publish in the future.
Co-authors
The 25 scholars most cited alongside Rupert Brooks, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 73 | |
| 2 | 2020 | 73 | |
| 3 | 2012 | 20 | |
| 4 | 2012 | 16 | |
| 5 | 2022 | 16 | |
| 6 | 2008 | 11 | |
| 7 | 2009 | 9 | |
| 8 | 2009 | 8 | |
| 9 | 2012 | 8 | |
| 10 | 2017 | 6 | |
| 11 | Efficient and reliable methods for direct parameterized image registration | 2008 | 5 |
| 12 | On the limits of cross-domain generalization in automated X-ray prediction | 2020 | 5 |
| 13 | 2004 | 5 | |
| 14 | 2006 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 2007 | 4 | |
| 17 | 2013 | 4 | |
| 18 | 2008 | 4 | |
| 19 | Fast image alignment using anytime algorithms | 2007 | 3 |
| 20 | Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Progressive Exaggeration on Chest X-rays. | 2021 | 2 |
About Rupert Brooks
Rupert Brooks is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Aerospace Engineering, having authored 23 papers that have together received 282 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (10 papers), AI in cancer detection (7 papers), Advanced Image and Video Retrieval Techniques (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Advanced Vision and Imaging (4 papers), COVID-19 diagnosis using AI (3 papers), Medical Imaging Techniques and Applications (3 papers) and Robotics and Sensor-Based Localization (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (113 citations), Radiology, Nuclear Medicine and Imaging (119 citations), Health Informatics (5 citations), Radiation (23 citations) and Artificial Intelligence (72 citations). Rupert Brooks has collaborated with scholars based in Canada, United States and Sweden. Frequent co-authors include Hassan Rivaz, Mina Amiri, Tal Arbel, Stefan Delorme, Denis Laroche, Xavier Morandi, Robert DiRaddo, Ryan C.N. D’Arcy, D. Louis Collins and Matthew C. Abramowitz. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Radiology Artificial Intelligence, International Journal of Computer Assisted Radiology and Surgery, IEEE Transactions on Medical Imaging and International Journal of Computer Vision.
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.