Éric Debreuve

1.1k total citations
26 papers, 297 citations indexed

About

Éric Debreuve is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Signal Processing. According to data from OpenAlex, Éric Debreuve has authored 26 papers receiving a total of 297 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Vision and Pattern Recognition, 7 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Signal Processing. Recurrent topics in Éric Debreuve's work include Medical Image Segmentation Techniques (12 papers), Advanced Vision and Imaging (11 papers) and Medical Imaging Techniques and Applications (6 papers). Éric Debreuve is often cited by papers focused on Medical Image Segmentation Techniques (12 papers), Advanced Vision and Imaging (11 papers) and Medical Imaging Techniques and Applications (6 papers). Éric Debreuve collaborates with scholars based in France, United States and Belgium. Éric Debreuve's co-authors include Michel Barlaud, Frank Nielsen, Vincent Garcia, Gilles Aubert, Jacques Darcourt, Xavier Descombes, Ariane Herbulot, Fabienne De Graeve, C. Dubois and Franck Plouraboué and has published in prestigious journals such as Journal of Cell Science, IEEE Transactions on Image Processing and IEEE Transactions on Medical Imaging.

In The Last Decade

Éric Debreuve

21 papers receiving 285 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Éric Debreuve France 9 191 43 42 41 28 26 297
Oh‐Kyu Kwon South Korea 6 214 1.1× 28 0.7× 34 0.8× 27 0.7× 60 2.1× 21 316
Victor Lempitsky Russia 5 282 1.5× 20 0.5× 66 1.6× 15 0.4× 52 1.9× 6 388
P. Brigger Switzerland 8 324 1.7× 73 1.7× 35 0.8× 32 0.8× 22 0.8× 22 434
Jitong Zhang China 8 216 1.1× 35 0.8× 49 1.2× 6 0.1× 18 0.6× 30 337
Tang Yu China 2 122 0.6× 16 0.4× 24 0.6× 15 0.4× 15 0.5× 2 210
Alexandre L. M. Levada Brazil 9 109 0.6× 12 0.3× 48 1.1× 39 1.0× 30 1.1× 52 244
Ahmad Ali Pakistan 10 193 1.0× 58 1.3× 74 1.8× 7 0.2× 44 1.6× 31 319
M.-P. Dubuisson-Jolly United States 7 385 2.0× 35 0.8× 58 1.4× 22 0.5× 47 1.7× 10 462
Weidong Zhao China 11 284 1.5× 83 1.9× 51 1.2× 16 0.4× 85 3.0× 59 410

Countries citing papers authored by Éric Debreuve

Since Specialization
Citations

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

Fields of papers citing papers by Éric Debreuve

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Éric Debreuve

This figure shows the co-authorship network connecting the top 25 collaborators of Éric Debreuve. A scholar is included among the top collaborators of Éric Debreuve 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 Éric Debreuve. Éric Debreuve 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.
Graeve, Fabienne De, Éric Debreuve, Djampa Kozlowski, et al.. (2024). An image-based RNAi screen identifies the EGFR signaling pathway as a regulator of Imp RNP granules. Journal of Cell Science. 137(23).
2.
Dubois, C., Jean‐Olivier Irisson, & Éric Debreuve. (2022). Correcting estimations of copepod volume from two‐dimensional images. Limnology and Oceanography Methods. 20(6). 361–371. 2 indexed citations
3.
Descombes, Xavier, et al.. (2022). Biological Image Segmentation Using Region-Scalable Fitting Energy with B-Spline Level Set Implementation and Watershed. IRBM. 43(6). 640–657. 4 indexed citations
4.
Graeve, Fabienne De, Éric Debreuve, Szilvia Ecsedi, et al.. (2019). Detecting and quantifying stress granules in tissues of multicellular organisms with the Obj.MPP analysis tool. Traffic. 20(9). 697–711. 10 indexed citations
5.
David, Ingrid, Philippa Kohnke, Jérôme Fehrenbach, et al.. (2018). New objective measurements of semen wave motion are associated with fertility in sheep. Reproduction Fertility and Development. 30(6). 889–896. 8 indexed citations
6.
Garcia, Vincent, Éric Debreuve, Frank Nielsen, & Michel Barlaud. (2010). K-nearest neighbor search: Fast GPU-based implementations and application to high-dimensional feature matching. 3757–3760. 106 indexed citations
7.
Debreuve, Éric, et al.. (2009). High-Dimensional Statistical Measure for Region-of-Interest Tracking. IEEE Transactions on Image Processing. 18(6). 1266–1283. 28 indexed citations
8.
Herbulot, Ariane, et al.. (2008). Motion and Appearance Nonparametric Joint Entropy for Video Segmentation. International Journal of Computer Vision. 80(2). 242–259. 3 indexed citations
9.
Debreuve, Éric, et al.. (2007). Using the Shape Gradient for Active Contour Segmentation: from the Continuous to the Discrete Formulation. Journal of Mathematical Imaging and Vision. 28(1). 47–66. 11 indexed citations
10.
Herbulot, Ariane, et al.. (2006). Robust Motion-Based Segmentation in Video Sequences using Entropy Estimator. 36. 1853–1856. 1 indexed citations
11.
Debreuve, Éric, et al.. (2006). Segmentation of a Vector Field: Dominant Parameter and Shape Optimization. Journal of Mathematical Imaging and Vision. 24(2). 259–276. 13 indexed citations
12.
Macq, Benoı̂t, et al.. (2005). Watershed-driven active contours for moving object segmentation. 5685. II–818. 2 indexed citations
13.
Debreuve, Éric, et al.. (2005). A Joint Motion Segmentation Algorithm For Video Coding. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations
14.
Herbulot, Ariane, et al.. (2005). Multimodal Segmentation Combining Active Contours And Watersheds. Zenodo (CERN European Organization for Nuclear Research). 1–4. 5 indexed citations
15.
Jehan‐Besson, Stéphanie, et al.. (2004). From Snakes to Region-Based Active Contours Defined by Region-Dependent Parameters. Applied Optics. 43(2). 247–247. 2 indexed citations
16.
Debreuve, Éric, et al.. (2003). Space-time segmentation using level set active contours applied to myocardial gated SPECT. 1999 IEEE Nuclear Science Symposium. Conference Record. 1999 Nuclear Science Symposium and Medical Imaging Conference (Cat. No.99CH37019). 2. 1109–1113. 3 indexed citations
17.
Debreuve, Éric, et al.. (2003). Inward and outward curve evolution using level set method. 3. 188–192. 15 indexed citations
18.
Debreuve, Éric, et al.. (2002). Non-parametric and non-rigid registration method applied to myocardial gated SPECT. 2000 IEEE Nuclear Science Symposium. Conference Record (Cat. No.00CH37149). 3. 18/26–18/30.
19.
Debreuve, Éric, et al.. (2002). Attenuation map reconstruction in uncollimated cone beam geometry using coupled PDEs. 1998 IEEE Nuclear Science Symposium Conference Record. 1998 IEEE Nuclear Science Symposium and Medical Imaging Conference (Cat. No.98CH36255). 3. 1884–1890.
20.
Debreuve, Éric, et al.. (2001). Space-time segmentation using level set active contours applied to myocardial gated SPECT. IEEE Transactions on Medical Imaging. 20(7). 643–659. 52 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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