Rupert Brooks

689 total citations
23 papers, 282 citations indexed

About

Rupert Brooks is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rupert Brooks has authored 23 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rupert Brooks's work include Medical Image Segmentation Techniques (10 papers), Advanced Image and Video Retrieval Techniques (7 papers) and AI in cancer detection (7 papers). Rupert Brooks is often cited by papers focused on Medical Image Segmentation Techniques (10 papers), Advanced Image and Video Retrieval Techniques (7 papers) and AI in cancer detection (7 papers). Rupert Brooks collaborates with scholars based in Canada, United States and Sweden. Rupert Brooks's co-authors include Hassan Rivaz, Mina Amiri, Tal Arbel, Stefan Delorme, Denis Laroche, Ryan C.N. D’Arcy, Robert DiRaddo, Guy Godin, Matthew C. Abramowitz and David B. Clarke and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, IEEE Transactions on Medical Imaging and International Journal of Computer Vision.

In The Last Decade

Rupert Brooks

22 papers receiving 278 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Rupert Brooks Canada 9 119 113 72 67 38 23 282
Jia Gu China 10 114 1.0× 165 1.5× 64 0.9× 51 0.8× 35 0.9× 35 332
Tobias Gass Switzerland 11 153 1.3× 175 1.5× 51 0.7× 99 1.5× 28 0.7× 21 437
Andrzej Skalski Poland 13 96 0.8× 141 1.2× 176 2.4× 121 1.8× 56 1.5× 61 523
Anirban Mukhopadhyay Germany 12 112 0.9× 87 0.8× 85 1.2× 112 1.7× 18 0.5× 36 346
Martin Groher Germany 10 102 0.9× 227 2.0× 66 0.9× 89 1.3× 49 1.3× 18 316
Athanasios Karamalis Germany 9 166 1.4× 135 1.2× 43 0.6× 152 2.3× 31 0.8× 18 348
Loïc Le Folgoc United Kingdom 6 73 0.6× 64 0.6× 39 0.5× 40 0.6× 16 0.4× 10 166
Nooshin Ghavami United Kingdom 5 174 1.5× 212 1.9× 60 0.8× 126 1.9× 70 1.8× 6 353
Bartłomiej W. Papież United Kingdom 12 258 2.2× 249 2.2× 57 0.8× 112 1.7× 44 1.2× 38 458
Anil Pandey India 9 167 1.4× 46 0.4× 80 1.1× 50 0.7× 78 2.1× 38 313

Countries citing papers authored by Rupert Brooks

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Rupert Brooks

This figure shows the co-authorship network connecting the top 25 collaborators of Rupert Brooks. A scholar is included among the top collaborators of Rupert Brooks based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Rupert Brooks. Rupert Brooks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
2.
Cohen, Joseph, Rupert Brooks, Evan J. Zucker, et al.. (2021). Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Progressive Exaggeration on Chest X-rays.. arXiv (Cornell University). 2 indexed citations
3.
Cohen, Joseph, Rupert Brooks, Evan J. Zucker, et al.. (2021). Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays. 74–104.
4.
Cohen, Joseph, et al.. (2020). On the limits of cross-domain generalization in automated X-ray prediction. 136–155. 5 indexed citations
5.
Amiri, Mina, et al.. (2020). Two-stage ultrasound image segmentation using U-Net and test time augmentation. International Journal of Computer Assisted Radiology and Surgery. 15(6). 981–988. 73 indexed citations
6.
Fortin, Maryse, et al.. (2020). Receptive Field Size as a Key Design Parameter for Ultrasound Image Segmentation with U-Net. PubMed. 2020. 2117–2120. 4 indexed citations
7.
Amiri, Mina, Rupert Brooks, & Hassan Rivaz. (2020). Fine-Tuning U-Net for Ultrasound Image Segmentation: Different Layers, Different Outcomes. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 67(12). 2510–2518. 73 indexed citations
8.
Xiao, Yiming, et al.. (2017). Assessment of Rigid Registration Quality Measures in Ultrasound-Guided Radiotherapy. IEEE Transactions on Medical Imaging. 37(2). 428–437. 6 indexed citations
9.
Abramowitz, Matthew C., et al.. (2013). Noninvasive Real-Time Prostate Tracking Using a Transperineal Ultrasound: A Clinical Trial Comparison to RF Transponders With Visual Confirmation. International Journal of Radiation Oncology*Biology*Physics. 87(2). S682–S682. 4 indexed citations
10.
Neubauer, André, Rupert Brooks, Iman Brouwer, Patricia Debergue, & Denis Laroche. (2012). Haptic collision handling for simulation of transnasal surgery. Computer Animation and Virtual Worlds. 24(2). 127–141. 8 indexed citations
11.
Clarke, David B., Ryan C.N. D’Arcy, Stefan Delorme, et al.. (2012). Virtual Reality Simulator. Surgical Innovation. 20(2). 190–197. 20 indexed citations
12.
Jiang, Di, et al.. (2009). A Computer Model of Soft Tissue Interaction with a Surgical Aspirator. Lecture notes in computer science. 12(Pt 1). 51–58. 8 indexed citations
13.
Brooks, Rupert & Tal Arbel. (2009). Generalizing Inverse Compositional and ESM Image Alignment. International Journal of Computer Vision. 87(3). 191–212. 9 indexed citations
14.
Brooks, Rupert. (2008). Efficient and reliable methods for direct parameterized image registration. eScholarship@McGill (McGill). 5 indexed citations
15.
Brooks, Rupert, D. Louis Collins, Xavier Morandi, & Tal Arbel. (2008). Deformable Ultrasound Registration without Reconstruction. Lecture notes in computer science. 11(Pt 2). 1023–1031. 11 indexed citations
16.
Brooks, Rupert, Tal Arbel, & Doina Precup. (2008). Anytime similarity measures for faster alignment. Computer Vision and Image Understanding. 110(3). 378–389. 4 indexed citations
17.
Brooks, Rupert, Tal Arbel, & Doina Precup. (2007). Fast image alignment using anytime algorithms. International Joint Conference on Artificial Intelligence. 2078–2083. 3 indexed citations
18.
Brooks, Rupert & Tal Arbel. (2007). Improvements to the itk::KernelTransform and Subclasses. 4 indexed citations
19.
Brooks, Rupert & Tal Arbel. (2006). Generalizing inverse compositional image alignment. 1200–1203. 4 indexed citations
20.
Laporte, Catherine, Rupert Brooks, & Tal Arbel. (2004). A fast discriminant approach to active object recognition and pose estimation. Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.. 91–94 Vol.3. 5 indexed citations

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.

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