Désiré Sidibé

2.2k total citations
56 papers, 1.4k citations indexed

About

Désiré Sidibé is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Ophthalmology. According to data from OpenAlex, Désiré Sidibé has authored 56 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Computer Vision and Pattern Recognition, 18 papers in Radiology, Nuclear Medicine and Imaging and 15 papers in Ophthalmology. Recurrent topics in Désiré Sidibé's work include Retinal Imaging and Analysis (18 papers), Retinal Diseases and Treatments (15 papers) and Advanced Vision and Imaging (13 papers). Désiré Sidibé is often cited by papers focused on Retinal Imaging and Analysis (18 papers), Retinal Diseases and Treatments (15 papers) and Advanced Vision and Imaging (13 papers). Désiré Sidibé collaborates with scholars based in France, Malaysia and Spain. Désiré Sidibé's co-authors include Fabrice Mériaudeau, Cédric Demonceaux, Valérie Gouet-Brunet, Nathan Piasco, Olivier Morel, G Lemaître, Mojdeh Rastgoo, Abhilash Srikantha, Joan Massich and Robert Martí and has published in prestigious journals such as IEEE Access, Pattern Recognition and International Journal of Computer Vision.

In The Last Decade

Désiré Sidibé

54 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Désiré Sidibé France 19 798 545 362 223 203 56 1.4k
Elli Angelopoulou Germany 18 1.1k 1.4× 373 0.7× 247 0.7× 105 0.5× 183 0.9× 59 1.5k
Konstantinos K. Delibasis Greece 17 445 0.6× 343 0.6× 162 0.4× 143 0.6× 135 0.7× 91 984
Jianan Li China 17 594 0.7× 226 0.4× 96 0.3× 235 1.1× 152 0.7× 103 1.1k
Yuqian Zhao China 20 664 0.8× 296 0.5× 56 0.2× 73 0.3× 264 1.3× 99 1.2k
Ali M. Reza United States 5 744 0.9× 248 0.5× 84 0.2× 77 0.3× 169 0.8× 9 1.2k
Guangmin Sun China 20 406 0.5× 301 0.6× 126 0.3× 63 0.3× 280 1.4× 148 1.3k
Jorge Novo Spain 22 341 0.4× 1.1k 1.9× 605 1.7× 25 0.1× 293 1.4× 142 1.7k
Taimur Hassan United Arab Emirates 25 459 0.6× 700 1.3× 464 1.3× 25 0.1× 316 1.6× 114 1.4k

Countries citing papers authored by Désiré Sidibé

Since Specialization
Citations

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

Fields of papers citing papers by Désiré Sidibé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Désiré Sidibé

This figure shows the co-authorship network connecting the top 25 collaborators of Désiré Sidibé. A scholar is included among the top collaborators of Désiré Sidibé 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 Désiré Sidibé. Désiré Sidibé 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.
Tabia, Hedi, et al.. (2025). A Deep Learning Approach for Predicting the Response to Anti-VEGF Treatment in Diabetic Macular Edema Patients Using Optical Coherence Tomography Images. SPIRE - Sciences Po Institutional REpository. 453–462. 1 indexed citations
2.
3.
Bouchafa, Samia, et al.. (2024). Rethinking Self-Attention for Multispectral Object Detection. IEEE Transactions on Intelligent Transportation Systems. 25(11). 16300–16311. 6 indexed citations
4.
Sidibé, Désiré, et al.. (2024). DH-PTAM: A Deep Hybrid Stereo Events-Frames Parallel Tracking and Mapping System. IEEE Transactions on Intelligent Vehicles. 10(1). 336–345. 4 indexed citations
5.
Sidibé, Désiré, et al.. (2024). A new intelligent system based deep learning to detect DME and AMD in OCT images. International Ophthalmology. 44(1). 191–191. 6 indexed citations
6.
Sidibé, Désiré, et al.. (2023). Automatic Detection of AMD and DME Retinal Pathologies Using Deep Learning. International Journal of Biomedical Imaging. 2023. 1–10. 4 indexed citations
7.
Sidibé, Désiré, et al.. (2023). Prediction of Postoperative Visual Acuity in Rhegmatogenous Retinal Detachment Using OCT Images. IEEE Access. 11. 135435–135448. 1 indexed citations
8.
Morel, Olivier, et al.. (2021). A central multimodal fusion framework for outdoor scene image segmentation. Multimedia Tools and Applications. 81(9). 12047–12060. 4 indexed citations
9.
Morel, Olivier, et al.. (2019). Outdoor Scenes Pixel-wise Semantic Segmentation using Polarimetry and Fully Convolutional Network. 328–335. 4 indexed citations
10.
Piasco, Nathan, Désiré Sidibé, Cédric Demonceaux, & Valérie Gouet-Brunet. (2019). Geometric Camera Pose Refinement with Learned Depth Maps. SPIRE - Sciences Po Institutional REpository. 4. 2561–2565. 2 indexed citations
11.
Piasco, Nathan, Désiré Sidibé, Cédric Demonceaux, & Valérie Gouet-Brunet. (2017). A survey on Visual-Based Localization: On the benefit of heterogeneous data. Pattern Recognition. 74. 90–109. 158 indexed citations
12.
Alsaih, Khaled, G Lemaître, Mojdeh Rastgoo, et al.. (2017). Machine learning techniques for diabetic macular edema (DME) classification on SD-OCT images. BioMedical Engineering OnLine. 16(1). 68–68. 93 indexed citations
13.
Sidibé, Désiré, et al.. (2017). Salient objects detection in dynamic scenes using color and texture features. Multimedia Tools and Applications. 77(5). 5461–5474. 7 indexed citations
14.
Sidibé, Désiré, G Lemaître, Mojdeh Rastgoo, et al.. (2016). An anomaly detection approach for the identification of DME patients using spectral domain optical coherence tomography images. Computer Methods and Programs in Biomedicine. 139. 109–117. 45 indexed citations
15.
Sidibé, Désiré, Ibrahim Sadek, & Fabrice Mériaudeau. (2015). Discrimination of retinal images containing bright lesions using sparse coded features and SVM. Computers in Biology and Medicine. 62. 175–184. 39 indexed citations
16.
Sidibé, Désiré, et al.. (2014). Automated detection of microaneurysms using scale-adapted blob analysis and semi-supervised learning. Computer Methods and Programs in Biomedicine. 114(1). 1–10. 81 indexed citations
17.
Ghose, Soumya, Arnau Oliver, Jhimli Mitra, et al.. (2013). A supervised learning framework of statistical shape and probability priors for automatic prostate segmentation in ultrasound images. Medical Image Analysis. 17(6). 587–600. 44 indexed citations
18.
Mitra, Jhimli, Soumya Ghose, Désiré Sidibé, et al.. (2012). Joint probability of shape and image similarities to retrieve 2D TRUS-MR slice correspondence for prostate biopsy. PubMed. 35. 5416–5419. 3 indexed citations
19.
Ghose, Soumya, Jhimli Mitra, Arnau Oliver, et al.. (2012). Spectral clustering of shape and probability prior models for automatic prostate segmentation. PubMed. 6361. 2335–2338. 4 indexed citations
20.
Sidibé, Désiré, Philippe Montesinos, & Stefan Janaqi. (2008). Matching Local Invariant Features with Contextual Information: An Experimental Evaluation. ELCVIA Electronic Letters on Computer Vision and Image Analysis. 7(1). 26–39. 5 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Elli Angelopoulou Breakdown of academic impact, for papers by Konstantinos K. Delibasis Breakdown of academic impact, for papers by Jianan Li Breakdown of academic impact, for papers by Yuqian Zhao Breakdown of academic impact, for papers by Ali M. Reza Breakdown of academic impact, for papers by Guangmin Sun Breakdown of academic impact, for papers by Jorge Novo Breakdown of academic impact, for papers by Taimur Hassan
Rankless by CCL
2026