Patrick Brandão

1.0k total citations
16 papers, 354 citations indexed

About

Patrick Brandão is a scholar working on Oncology, Computer Vision and Pattern Recognition and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Patrick Brandão has authored 16 papers receiving a total of 354 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Oncology, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Patrick Brandão's work include Colorectal Cancer Screening and Detection (11 papers), Image Retrieval and Classification Techniques (5 papers) and Gastric Cancer Management and Outcomes (5 papers). Patrick Brandão is often cited by papers focused on Colorectal Cancer Screening and Detection (11 papers), Image Retrieval and Classification Techniques (5 papers) and Gastric Cancer Management and Outcomes (5 papers). Patrick Brandão collaborates with scholars based in United Kingdom, Italy and Spain. Patrick Brandão's co-authors include Danail Stoyanov, Evangelos B. Mazomenos, Omer F. Ahmad, Laurence Lovat, Roser Vega, Edward Seward, Manish Chand, António Sampaio Soares, Arianna Menciassi and Paolo Dario and has published in prestigious journals such as Gastrointestinal Endoscopy, Medical Image Analysis and Endoscopy.

In The Last Decade

Patrick Brandão

16 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Patrick Brandão United Kingdom 8 221 171 104 101 85 16 354
Yukitaka Nimura Japan 7 157 0.7× 158 0.9× 77 0.7× 108 1.1× 162 1.9× 25 357
Hayato Itoh Japan 10 346 1.6× 210 1.2× 109 1.0× 92 0.9× 190 2.2× 38 514
Duc Tien Dang Nguyen Norway 3 139 0.6× 114 0.7× 111 1.1× 83 0.8× 47 0.6× 6 282
Talal Alkayali United States 5 347 1.6× 243 1.4× 170 1.6× 54 0.5× 197 2.3× 23 555
Hanna Borgli Norway 2 139 0.6× 113 0.7× 104 1.0× 71 0.7× 46 0.5× 3 263
Priyam Tripathi United States 3 383 1.7× 240 1.4× 168 1.6× 53 0.5× 230 2.7× 6 550
Noha Ghatwary Egypt 8 124 0.6× 124 0.7× 71 0.7× 65 0.6× 131 1.5× 21 320
Joel Troya Germany 11 207 0.9× 112 0.7× 54 0.5× 19 0.2× 101 1.2× 18 263
Florian Soudan Canada 4 361 1.6× 212 1.2× 124 1.2× 28 0.3× 205 2.4× 5 473
Rongpin Wang China 9 71 0.3× 278 1.6× 64 0.6× 77 0.8× 156 1.8× 14 382

Countries citing papers authored by Patrick Brandão

Since Specialization
Citations

This map shows the geographic impact of Patrick Brandão'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 Patrick Brandão with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Brandão more than expected).

Fields of papers citing papers by Patrick Brandão

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick Brandão. 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 Patrick Brandão. The network helps show where Patrick Brandão may publish in the future.

Co-authorship network of co-authors of Patrick Brandão

This figure shows the co-authorship network connecting the top 25 collaborators of Patrick Brandão. A scholar is included among the top collaborators of Patrick Brandão 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 Patrick Brandão. Patrick Brandão is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
Kader, Rawen, et al.. (2025). NICE polyp feature classification for colonoscopy screening. International Journal of Computer Assisted Radiology and Surgery. 20(5). 1015–1024. 2 indexed citations
2.
Ahmad, Omer F., Evangelos B. Mazomenos, François Chadebecq, et al.. (2023). Identifying key mechanisms leading to visual recognition errors for missed colorectal polyps using eye‐tracking technology. Journal of Gastroenterology and Hepatology. 38(5). 768–774. 7 indexed citations
3.
Kader, Rawen, et al.. (2023). Automated colonoscopy withdrawal phase duration estimation using cecum detection and surgical tasks classification. Biomedical Optics Express. 14(6). 2629–2629. 2 indexed citations
4.
Brandão, Patrick, Omer F. Ahmad, Kanwal K. Bhatia, et al.. (2022). Spatio-temporal classification for polyp diagnosis. Biomedical Optics Express. 14(2). 593–593. 4 indexed citations
5.
Brandão, Patrick, Omer F. Ahmad, Kanwal K. Bhatia, et al.. (2022). Polyp detection on video colonoscopy using a hybrid 2D/3D CNN. Medical Image Analysis. 82. 102625–102625. 29 indexed citations
6.
Kader, Rawen, Patrick Brandão, Omer F. Ahmad, et al.. (2022). Polyp characterization using deep learning and a publicly accessible polyp video database. Digestive Endoscopy. 35(5). 645–655. 13 indexed citations
7.
Brandão, Patrick, Dániel Tóth, Vinay Sehgal, et al.. (2021). O30 Deep neural network for the detection of early neoplasia in Barrett’s oesophagus. A17.1–A17. 3 indexed citations
8.
Kader, Rawen, Patrick Brandão, Syed Mohammed Shamsul Islam, et al.. (2021). Computer-Aided Characterisation Of Colorectal Polyps Using Artificial Intelligence. Endoscopy. 1 indexed citations
9.
Ahmad, Omer F., Patrick Brandão, Rawen Kader, et al.. (2021). Performance of artificial intelligence for detection of subtle and advanced colorectal neoplasia. Digestive Endoscopy. 34(4). 862–869. 18 indexed citations
10.
Brandão, Patrick, Dániel Tóth, Vinay Sehgal, et al.. (2020). Sa2030 DEEP NEURAL NETWORK FOR THE DETECTION OF EARLY NEOPLASIA IN BARRETT'S OESOPHAGUS. Gastrointestinal Endoscopy. 91(6). AB250–AB250. 5 indexed citations
11.
Brandão, Patrick, et al.. (2020). HAPNet: hierarchically aggregated pyramid network for real-time stereo matching. Computer Methods in Biomechanics and Biomedical Engineering Imaging & Visualization. 9(3). 219–224. 9 indexed citations
12.
Ahmad, Omer F., Patrick Brandão, Sarmed S. Sami, et al.. (2019). Tu1991 ARTIFICIAL INTELLIGENCE FOR REAL-TIME POLYP LOCALISATION IN COLONOSCOPY WITHDRAWAL VIDEOS. Gastrointestinal Endoscopy. 89(6). AB647–AB647. 7 indexed citations
13.
Ahmad, Omer F., António Sampaio Soares, Evangelos B. Mazomenos, et al.. (2018). Artificial intelligence and computer-aided diagnosis in colonoscopy: current evidence and future directions. ˜The œLancet. Gastroenterology & hepatology. 4(1). 71–80. 137 indexed citations
14.
Vasconcelos, Francisco, Patrick Brandão, Tom Vercauteren, et al.. (2018). Towards computer-assisted TTTS: Laser ablation detection for workflow segmentation from fetoscopic video. International Journal of Computer Assisted Radiology and Surgery. 13(10). 1661–1670. 8 indexed citations
15.
Brandão, Patrick, Evangelos B. Mazomenos, Gastone Ciuti, et al.. (2017). Fully convolutional neural networks for polyp segmentation in colonoscopy. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 10134. 101340F–101340F. 108 indexed citations
16.
Brandão, Patrick, Evangelos B. Mazomenos, Gastone Ciuti, et al.. (2016). Validating convolution neural networks for automatic polyp detection in robotic colonoscopy. UCL Discovery (University College London). 1 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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