Pascal Bourdon

472 total citations
23 papers, 215 citations indexed

About

Pascal Bourdon is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Pascal Bourdon has authored 23 papers receiving a total of 215 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 5 papers in Media Technology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Pascal Bourdon's work include Image and Signal Denoising Methods (5 papers), Advanced Image Processing Techniques (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Pascal Bourdon is often cited by papers focused on Image and Signal Denoising Methods (5 papers), Advanced Image Processing Techniques (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Pascal Bourdon collaborates with scholars based in France, Lebanon and Germany. Pascal Bourdon's co-authors include Thierry Urruty, Christine Fernández-Maloigne, Mohamad Khalil, Omar Falou, Ahmad Shahin, David Helbert, Rémy Guillevin, C. Fernández‐Maloigne, Claire Boutet and J.-N. Vallée and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the Optical Society of America A and Medical Image Analysis.

In The Last Decade

Pascal Bourdon

22 papers receiving 205 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pascal Bourdon France 6 106 70 39 38 27 23 215
Thierry Urruty France 9 122 1.2× 66 0.9× 51 1.3× 15 0.4× 27 1.0× 23 251
Wanni Xu China 6 57 0.5× 65 0.9× 53 1.4× 30 0.8× 21 0.8× 11 224
Hancan Zhu China 11 109 1.0× 96 1.4× 61 1.6× 58 1.5× 15 0.6× 26 297
Zhuoyuan Li China 6 89 0.8× 121 1.7× 101 2.6× 54 1.4× 22 0.8× 12 301
Yeqi Bai Singapore 6 114 1.1× 102 1.5× 131 3.4× 80 2.1× 14 0.5× 6 321
Carlos Tor-Díez France 6 127 1.2× 103 1.5× 32 0.8× 17 0.4× 12 0.4× 7 242
Ruining Deng United States 10 128 1.2× 98 1.4× 152 3.9× 19 0.5× 39 1.4× 42 302
Ivan Coronado United States 8 84 0.8× 145 2.1× 56 1.4× 98 2.6× 10 0.4× 12 330
Alexander Hubert Germany 5 186 1.8× 145 2.1× 93 2.4× 136 3.6× 22 0.8× 8 380

Countries citing papers authored by Pascal Bourdon

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Bourdon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pascal Bourdon

This figure shows the co-authorship network connecting the top 25 collaborators of Pascal Bourdon. A scholar is included among the top collaborators of Pascal Bourdon 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 Pascal Bourdon. Pascal Bourdon 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.
Bourdon, Pascal, et al.. (2023). A complete pipeline for glioma grading using intelligible AI on multimodal MRI data. Medical Research Archives. 11(5).
2.
Bourdon, Pascal, et al.. (2023). Face expression understanding by geometrical characterization of deep human face representation. Electronic Imaging. 35(9). 292–1. 1 indexed citations
3.
Urruty, Thierry, et al.. (2022). A multi-sequences MRI deep framework study applied to glioma classfication. Multimedia Tools and Applications. 81(10). 13563–13591. 15 indexed citations
4.
Urruty, Thierry, et al.. (2022). Deep anonymization of medical imaging. Multimedia Tools and Applications. 82(6). 9533–9547. 4 indexed citations
5.
Bourdon, Pascal, Claire Boutet, Jean‐Philippe Cottier, et al.. (2021). Exploring Radiologic Criteria for Glioma Grade Classification on the BraTS Dataset. IRBM. 42(6). 407–414. 30 indexed citations
6.
Bourdon, Pascal, Thierry Urruty, Omar Falou, et al.. (2021). Recent advances in medical image processing for the evaluation of chronic kidney disease. Medical Image Analysis. 69. 101960–101960. 70 indexed citations
7.
Huy, Quang, et al.. (2021). 7T MRI super-resolution with Generative Adversarial Network. Electronic Imaging. 33(18). 106–1. 7 indexed citations
8.
Falou, Omar, Thierry Urruty, Pascal Bourdon, et al.. (2021). Usefulness of Functional MRI Textures in the Evaluation of Renal Function. 55905. 34–38. 2 indexed citations
9.
Bourdon, Pascal, et al.. (2021). Investigating efficient CNN architecture for multiple sclerosis lesion segmentation. Journal of Medical Imaging. 8(1). 14504–14504. 12 indexed citations
10.
Bourdon, Pascal, et al.. (2020). Learning a CNN on multiple sclerosis lesion segmentation with self-supervision. Electronic Imaging. 32(17). 3–1. 4 indexed citations
11.
Urruty, Thierry, et al.. (2020). Robust forgery detection for compressed images using CNN supervision. SHILAP Revista de lepidopterología. 2. 100112–100112. 37 indexed citations
12.
Bourdon, Pascal, et al.. (2019). Confidence-based dynamic optimization model for biomedical image mosaicking. Journal of the Optical Society of America A. 36(11). C28–C28. 3 indexed citations
13.
Helbert, David, et al.. (2019). Patch graph-based wavelet inpainting for color images. Journal of Visual Communication and Image Representation. 64. 102614–102614. 5 indexed citations
14.
Bourdon, Pascal, et al.. (2018). Sampling strategies for performance improvement in cascaded face regression. Journal of Visual Communication and Image Representation. 55. 841–852. 1 indexed citations
15.
Bourdon, Pascal & David Helbert. (2017). A data-driven approach to feature space selection for robust micro-endoscopic image reconstruction. HAL (Le Centre pour la Communication Scientifique Directe). 81. 2239–2243. 1 indexed citations
16.
Bourdon, Pascal, et al.. (2008). A theoretical analysis of spatial/temporal modulation-based systems for prevention of illegal recordings in movie theaters. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6819. 68190U–68190U. 3 indexed citations
17.
Bourdon, Pascal, et al.. (2006). High data rate radio communications through the ionospheric channel. AEU - International Journal of Electronics and Communications. 61(4). 270–278. 5 indexed citations
18.
Bourdon, Pascal, et al.. (2005). A multi-resolution, geometry-driven error concealment method for corrupted JPEG color images. Signal Processing Image Communication. 20(7). 681–694. 3 indexed citations
19.
Bourdon, Pascal, et al.. (2004). MPEG-4 compression artifacts removal on color video sequences using 3D nonlinear diffusion. HAL (Le Centre pour la Communication Scientifique Directe). 3. iii–729. 3 indexed citations
20.
Bourdon, Pascal, et al.. (2003). A PDE-based method for ringing artifact removal on grayscale and color JPEG2000 images. 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03).. 3. III–729. 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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