François Chadebecq

700 total citations
19 papers, 445 citations indexed

About

François Chadebecq is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Media Technology. According to data from OpenAlex, François Chadebecq has authored 19 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 6 papers in Aerospace Engineering and 5 papers in Media Technology. Recurrent topics in François Chadebecq's work include Advanced Vision and Imaging (6 papers), Robotics and Sensor-Based Localization (6 papers) and Image Processing Techniques and Applications (5 papers). François Chadebecq is often cited by papers focused on Advanced Vision and Imaging (6 papers), Robotics and Sensor-Based Localization (6 papers) and Image Processing Techniques and Applications (5 papers). François Chadebecq collaborates with scholars based in United Kingdom, France and Belgium. François Chadebecq's co-authors include Danail Stoyanov, Adrien Bartoli, Toby Collins, Yan Gérard, Laurence Lovat, Sébastien Ourselin, Tom Vercauteren, Francisco Vasconcelos, Daniel Pizarro and Efthymios Maneas and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and Nature Reviews Gastroenterology & Hepatology.

In The Last Decade

François Chadebecq

18 papers receiving 429 citations

Peers

François Chadebecq

CVPR

SURGE

Francisco Vasconcelos United Kingdom

Xin Kang China

Max Allan United States

AH Gee United Kingdom

Marco Visentini-Scarzanella United Kingdom

Zixu Zhao China

A. Groch Germany

J.P. Helferty United States

Sandrine Voros France

Christian Daul France

Francisco Vasconcelos United Kingdom

François Chadebecq

313 ×1.3

CVPR

195 ×1.5

87 ×0.9

80 ×1.1

SURGE

9 ×0.2

Citations per year, relative to François Chadebecq François Chadebecq (= 1×) peers Francisco Vasconcelos

Countries citing papers authored by François Chadebecq

Since Specialization

Citations

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

Fields of papers citing papers by François Chadebecq

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of François Chadebecq

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

All Works

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19 of 19 papers shown

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

Chadebecq, François, Laurence Lovat, & Danail Stoyanov. (2022). Artificial intelligence and automation in endoscopy and surgery. Nature Reviews Gastroenterology & Hepatology. 20(3). 171–182. 62 indexed citations

Chadebecq, François, et al.. (2020). Computer Vision in the Surgical Operating Room. Visceral Medicine. 36(6). 456–462. 38 indexed citations

Chadebecq, François, Francisco Vasconcelos, Efthymios Maneas, et al.. (2019). Refractive Two-View Reconstruction for Underwater 3D Vision. International Journal of Computer Vision. 128(5). 1101–1117. 54 indexed citations

Vasconcelos, Francisco, François Chadebecq, Max Allan, et al.. (2018). Adjoint Transformation Algorithm for Hand–Eye Calibration with Applications in Robotic Assisted Surgery. Annals of Biomedical Engineering. 46(10). 1606–1620. 33 indexed citations

Nikitichev, Daniil I., Dzhoshkun I. Shakir, François Chadebecq, et al.. (2017). Medical-grade Sterilizable Target for Fluid-immersed Fetoscope Optical Distortion Calibration. Journal of Visualized Experiments. 6 indexed citations

Dwyer, George, François Chadebecq, Christos Bergeles, et al.. (2017). A Continuum Robot and Control Interface for Surgical Assist in Fetoscopic Interventions. IEEE Robotics and Automation Letters. 2(3). 1656–1663. 43 indexed citations

Chadebecq, François, Francisco Vasconcelos, George Dwyer, et al.. (2017). Refractive Structure-from-Motion Through a Flat Refractive Interface. Research Portal (King's College London). 5325–5333. 20 indexed citations

Chadebecq, François, et al.. (2017). Corner-Based Geometric Calibration of Multi-focus Plenoptic Cameras. Research Portal (King's College London). 957–965. 17 indexed citations

10.

Daga, Pankaj, François Chadebecq, Stephen Thompson, et al.. (2016). A Combined EM and Visual Tracking Probabilistic Model for Robust Mosaicking: Application to Fetoscopy. UCL Discovery (University College London). 524–532. 9 indexed citations

11.

Daga, Pankaj, François Chadebecq, Dzhoshkun I. Shakir, et al.. (2016). Real-time mosaicing of fetoscopic videos using SIFT. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9786. 97861R–97861R. 19 indexed citations

12.

Chadebecq, François, Tom Vercauteren, George Attilakos, et al.. (2015). Practical Dry Calibration With Medium Adaptation For Fluid-Immersed Endoscopy. UCL Discovery (University College London).

13.

Bartoli, Adrien, Yan Gérard, François Chadebecq, Toby Collins, & Daniel Pizarro. (2015). Shape-from-Template. IEEE Transactions on Pattern Analysis and Machine Intelligence. 37(10). 2099–2118. 57 indexed citations

14.

Chadebecq, François, et al.. (2014). How big is this neoplasia? Live colonoscopic size measurement using the Infocus-Breakpoint. Medical Image Analysis. 19(1). 58–74. 8 indexed citations

15.

d’Orazio, Laurent, Adrien Bartoli, Sylvain Béorchia, et al.. (2014). Multimodal and multimedia image analysis and collaborative networking for digestive endoscopy. IRBM. 35(2). 88–93. 1 indexed citations

16.

Chadebecq, François, et al.. (2013). Using the Infocus-Breakpoint to estimate the scale of neoplasia in colonoscopy. 37. 354–357. 6 indexed citations

17.

Alcantarilla, Pablo F., et al.. (2013). Enhanced imaging colonoscopy facilitates dense motion-based 3D reconstruction. PubMed. 2013. 7346–7349. 12 indexed citations

18.

Bartoli, Adrien, Yan Gérard, François Chadebecq, & Toby Collins. (2012). On template-based reconstruction from a single view: Analytical solutions and proofs of well-posedness for developable, isometric and conformal surfaces. HAL (Le Centre pour la Communication Scientifique Directe). 2026–2033. 42 indexed citations

19.

Chadebecq, François, et al.. (2012). Measuring the size of neoplasia in colonoscopy using depth-from-defocus. PubMed. 2012. 1478–1481. 11 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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