Yves Trousset

1.4k total citations
40 papers, 999 citations indexed

About

Yves Trousset is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Yves Trousset has authored 40 papers receiving a total of 999 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Radiology, Nuclear Medicine and Imaging, 22 papers in Biomedical Engineering and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Yves Trousset's work include Medical Imaging Techniques and Applications (23 papers), Medical Image Segmentation Techniques (13 papers) and Advanced X-ray and CT Imaging (13 papers). Yves Trousset is often cited by papers focused on Medical Imaging Techniques and Applications (23 papers), Medical Image Segmentation Techniques (13 papers) and Advanced X-ray and CT Imaging (13 papers). Yves Trousset collaborates with scholars based in France, United States and Spain. Yves Trousset's co-authors include Régis Vaillant, Nicholas Ayache, Karl Krissian, Grégoire Malandain, A. Rougée, Cyril Ponchut, Catherine Picard, L Picard, Laurent Launay and Erwan Kerrien and has published in prestigious journals such as Radiology, IEEE Transactions on Medical Imaging and Neurosurgery.

In The Last Decade

Yves Trousset

40 papers receiving 952 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yves Trousset France 13 473 355 319 311 235 40 999
Régis Vaillant France 15 460 1.0× 684 1.9× 216 0.7× 300 1.0× 202 0.9× 45 1.3k
Mathieu De Craene Spain 21 852 1.8× 361 1.0× 351 1.1× 175 0.6× 96 0.4× 82 1.6k
Daniël Ruijters Netherlands 17 228 0.5× 301 0.8× 151 0.5× 239 0.8× 244 1.0× 58 786
Ingerid Reinertsen Norway 21 613 1.3× 295 0.8× 323 1.0× 137 0.4× 109 0.5× 56 1.2k
Marco Nolden Germany 13 571 1.2× 252 0.7× 317 1.0× 182 0.6× 36 0.2× 30 1.1k
Wu Qiu Canada 25 348 0.7× 531 1.5× 414 1.3× 554 1.8× 206 0.9× 101 1.6k
Matthew McCormick United States 17 422 0.9× 147 0.4× 332 1.0× 244 0.8× 38 0.2× 54 1.0k
Rubén Cárdenes Spain 15 227 0.5× 166 0.5× 123 0.4× 238 0.8× 114 0.5× 36 752
Soumya Ghose United States 15 909 1.9× 336 0.9× 360 1.1× 566 1.8× 37 0.2× 53 1.4k
Alexander Hartov United States 15 493 1.0× 171 0.5× 808 2.5× 155 0.5× 111 0.5× 22 1.3k

Countries citing papers authored by Yves Trousset

Since Specialization
Citations

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

Fields of papers citing papers by Yves Trousset

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yves Trousset

This figure shows the co-authorship network connecting the top 25 collaborators of Yves Trousset. A scholar is included among the top collaborators of Yves Trousset 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 Yves Trousset. Yves Trousset 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.
Supanich, Mark, J. H. Siewerdsen, Rebecca Fahrig, et al.. (2023). AAPM Task Group Report 238: 3D C‐arms with volumetric imaging capability*. Medical Physics. 50(8). e904–e945. 6 indexed citations
2.
Zhu, François, Serge Bracard, Yves Trousset, & René Anxionnat. (2023). Virtual injection software for endovascular management of spinal dural arteriovenous fistula. Interventional Neuroradiology. 3984269693–3984269693. 2 indexed citations
3.
Chouzenoux, Émilie, et al.. (2021). Convergence of proximal gradient algorithm in the presence of adjoint mismatch *. Inverse Problems. 37(6). 65009–65009. 10 indexed citations
4.
Riddell, Cyril, et al.. (2017). Dual‐rotation C‐arm cone‐beam computed tomography to increase low‐contrast detection. Medical Physics. 44(9). e164–e173. 1 indexed citations
5.
Langet, Hélène, et al.. (2015). Compressed‐sensing‐based content‐driven hierarchical reconstruction: Theory and application to C‐arm cone‐beam tomography. Medical Physics. 42(9). 5222–5237. 7 indexed citations
6.
Langet, Hélène, et al.. (2012). Compressed Sensing Dynamic Reconstruction in Rotational Angiography. Lecture notes in computer science. 15(Pt 1). 223–230. 5 indexed citations
7.
Langet, Hélène, et al.. (2011). Compressed Sensing Based 3D Tomographic Reconstruction for Rotational Angiography. Lecture notes in computer science. 14(Pt 1). 97–104. 9 indexed citations
9.
Riddell, Cyril & Yves Trousset. (2006). Rectification for cone-beam projection and backprojection. IEEE Transactions on Medical Imaging. 25(7). 950–962. 18 indexed citations
10.
Kerrien, Erwan, et al.. (2006). An effective technique for calibrating the intrinsic parameters of a vascular C-arm from a planar target. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6141. 61411W–61411W. 3 indexed citations
11.
Kerrien, Erwan, et al.. (2005). Model of a Vascular C-Arm for 3D Augmented Fluoroscopy in Interventional Radiology. Lecture notes in computer science. 8(Pt 2). 214–222. 22 indexed citations
12.
Suzuki, Hidenori, et al.. (2005). Visualization of the Intracisternal Angioarchitecture at the Posterior Fossa by Use of Image Fusion. Neurosurgery. 56(2). 335–342. 5 indexed citations
13.
Krissian, Karl, Grégoire Malandain, Nicholas Ayache, Régis Vaillant, & Yves Trousset. (2002). Model based multiscale detection of 3D vessels. HAL (Le Centre pour la Communication Scientifique Directe). 202–210. 10 indexed citations
14.
Bracard, Serge, Xavier Ducrocq, Yves Trousset, et al.. (2001). Intracranial Aneurysms: Clinical Value of 3D Digital Subtraction Angiography in the Therapeutic Decision and Endovascular Treatment. Radiology. 218(3). 799–808. 175 indexed citations
15.
Anxionnat, René, Serge Bracard, L Picard, et al.. (1999). 3D Angiography. Rivista di Neuroradiologia. 12(2_suppl). 85–87. 2 indexed citations
16.
Trousset, Yves, et al.. (1994). <title>Region of support in 3D vascular reconstruction</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2164. 107–117. 1 indexed citations
17.
Trousset, Yves, et al.. (1994). In vivo evaluation of a new system for 3D computerized angiography. Physics in Medicine and Biology. 39(3). 583–595. 58 indexed citations
18.
Rougée, A., Catherine Picard, Cyril Ponchut, & Yves Trousset. (1993). Geometrical calibration of x-ray imaging chains for three-dimensional reconstruction. Computerized Medical Imaging and Graphics. 17(4-5). 295–300. 96 indexed citations
19.
Magnin, Isabelle E., et al.. (1993). Image quality study in 3D X-ray angiography: A first approach using the experimental design strategy. Computerized Medical Imaging and Graphics. 17(4-5). 309–322. 2 indexed citations
20.
Ponchut, Cyril, A. Rougée, Yves Trousset, et al.. (1992). A new system for 3D computerized X-ray angiography: First in vivo results. Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. 2051–2052. 2 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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