Fabrice Mériaudeau

9.2k total citations · 2 hit papers
249 papers, 5.6k citations indexed

About

Fabrice Mériaudeau is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Biomedical Engineering. According to data from OpenAlex, Fabrice Mériaudeau has authored 249 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Computer Vision and Pattern Recognition, 62 papers in Radiology, Nuclear Medicine and Imaging and 61 papers in Biomedical Engineering. Recurrent topics in Fabrice Mériaudeau's work include Retinal Imaging and Analysis (43 papers), Retinal Diseases and Treatments (30 papers) and Optical measurement and interference techniques (26 papers). Fabrice Mériaudeau is often cited by papers focused on Retinal Imaging and Analysis (43 papers), Retinal Diseases and Treatments (30 papers) and Optical measurement and interference techniques (26 papers). Fabrice Mériaudeau collaborates with scholars based in France, Malaysia and United States. Fabrice Mériaudeau's co-authors include Désiré Sidibé, Manesh Kokare, Prasanna Porwal, Luca Giancardo, Samiksha Pachade, Kenneth W. Tobin, Ravi Kamble, Edward Chaum, Thomas P. Karnowski and G Lemaître and has published in prestigious journals such as Applied Physics Letters, Journal of Applied Physics and NeuroImage.

In The Last Decade

Fabrice Mériaudeau

242 papers receiving 5.4k citations

Hit Papers

Indian Diabetic Retinopathy Image Dataset (IDRiD): A Data... 2018 2026 2020 2023 2018 2021 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fabrice Mériaudeau France 39 2.5k 1.9k 1.5k 1.1k 689 249 5.6k
Mohammed Ghazal United Arab Emirates 28 1.3k 0.5× 685 0.4× 339 0.2× 327 0.3× 570 0.8× 318 3.3k
Huiqi Li China 29 1.1k 0.4× 840 0.4× 691 0.5× 303 0.3× 547 0.8× 140 2.7k
Ghassan Hamarneh Canada 39 1.9k 0.8× 2.7k 1.4× 191 0.1× 1.1k 0.9× 1.8k 2.6× 252 6.7k
Domènec Puig Spain 27 703 0.3× 1.3k 0.7× 207 0.1× 283 0.2× 769 1.1× 160 2.9k
Heung‐Il Suk South Korea 35 2.6k 1.0× 2.0k 1.1× 103 0.1× 947 0.8× 2.7k 4.0× 136 8.4k
Yen‐Wei Chen Japan 34 1.7k 0.7× 3.4k 1.8× 85 0.1× 921 0.8× 1.6k 2.4× 615 7.5k
Guorong Wu United States 34 2.9k 1.2× 2.5k 1.3× 92 0.1× 851 0.7× 1.7k 2.5× 204 7.0k
Tong Boon Tang Malaysia 28 757 0.3× 422 0.2× 195 0.1× 723 0.6× 326 0.5× 205 3.4k
Stefan Klein Netherlands 39 4.5k 1.8× 2.5k 1.3× 147 0.1× 1.9k 1.7× 730 1.1× 253 9.0k
Yang Chen China 44 4.1k 1.6× 3.0k 1.6× 164 0.1× 3.3k 2.9× 967 1.4× 360 8.0k

Countries citing papers authored by Fabrice Mériaudeau

Since Specialization
Citations

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

Fields of papers citing papers by Fabrice Mériaudeau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabrice Mériaudeau

This figure shows the co-authorship network connecting the top 25 collaborators of Fabrice Mériaudeau. A scholar is included among the top collaborators of Fabrice Mériaudeau 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 Fabrice Mériaudeau. Fabrice Mériaudeau 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.
Zhang, Yonglin, et al.. (2024). Online machine learning-based channel estimation for underwater acoustic communications. The Journal of the Acoustical Society of America. 155(3_Supplement). A88–A89.
2.
Bricq, Stéphanie, et al.. (2024). Multi-modality multi-label ocular abnormalities detection with transformer-based semantic dictionary learning. Medical & Biological Engineering & Computing. 62(11). 3433–3444. 1 indexed citations
3.
Aïnouz, Samia, et al.. (2023). Joint network for specular highlight detection and adversarial generation of specular-free images trained with polarimetric data. Neurocomputing. 559. 126769–126769. 4 indexed citations
4.
Bricq, Stéphanie, et al.. (2023). Multi-label ocular abnormalities detection with semantic dictionary learning. SPIRE - Sciences Po Institutional REpository. 35. 36–36. 1 indexed citations
5.
Petitjean, Caroline, et al.. (2023). A study of attention information from transformer layers in hybrid medical image segmentation networks. SPIRE - Sciences Po Institutional REpository. 59–59. 1 indexed citations
7.
Presles, Benoît, Sarah Leclerc, Fabrice Mériaudeau, et al.. (2023). A Tumour and Liver Automatic Segmentation (ATLAS) Dataset on Contrast-Enhanced Magnetic Resonance Imaging for Hepatocellular Carcinoma. Data. 8(5). 79–79. 28 indexed citations
8.
Lalande, Alain, et al.. (2023). Automatic Segmentation of Histological Images of Mouse Brains. Algorithms. 16(12). 553–553.
9.
Arnould, Louis, Fabrice Mériaudeau, Charles Guénancia, et al.. (2022). Using Artificial Intelligence to Analyse the Retinal Vascular Network: The Future of Cardiovascular Risk Assessment Based on Oculomics? A Narrative Review. Ophthalmology and Therapy. 12(2). 657–674. 35 indexed citations
10.
Aïnouz, Samia, et al.. (2022). Physically-admissible polarimetric data augmentation for road-scene analysis. Computer Vision and Image Understanding. 222. 103495–103495. 2 indexed citations
11.
Usman, Fahad, John Ojur Dennis, A.I. Aljameel, et al.. (2021). Plasmonic Biosensors for the Detection of Lung Cancer Biomarkers: A Review. Chemosensors. 9(11). 326–326. 36 indexed citations
12.
Qayyum, Abdul, et al.. (2021). A 3D Network Based Shape Prior for Automatic Myocardial Disease Segmentation in Delayed-Enhancement MRI. IRBM. 42(6). 424–434. 9 indexed citations
13.
Usman, Fahad, John Ojur Dennis, E.M. Mkawi, et al.. (2020). Acetone Vapor-Sensing Properties of Chitosan-Polyethylene Glycol Using Surface Plasmon Resonance Technique. Polymers. 12(11). 2586–2586. 9 indexed citations
14.
Mériaudeau, Fabrice, et al.. (2018). Optimizing Mental Workload by Functional Near-Infrared Spectroscopy Based Dynamic Difficulty Adjustment. PubMed. 2018. 1522–1525. 3 indexed citations
15.
Usman, Fahad, et al.. (2018). A Review of Biosensors for Non-Invasive Diabetes Monitoring and Screening in Human Exhaled Breath. IEEE Access. 7. 5963–5974. 53 indexed citations
16.
Lemaître, G, Robert Martí, Mojdeh Rastgoo, & Fabrice Mériaudeau. (2017). Computer-aided detection for prostate cancer detection based on multi-parametric magnetic resonance imaging. PubMed. 2017. 3138–3141. 23 indexed citations
17.
Giancardo, Luca, Fabrice Mériaudeau, Thomas P. Karnowski, et al.. (2011). Automatic Diabetic Macular Edema Detection in Fundus Images Using Publicly Available Datasets. Medical Image Analysis. 1 indexed citations
18.
Bléron, Laurent, et al.. (2010). Automatic computation of the knot area ratio for machine strength grading of Douglas-fir and Spruce timber. European Journal of Environmental and Civil engineering. 14(10). 1317–1332. 15 indexed citations
19.
Mériaudeau, Fabrice, et al.. (2007). Machine Vision Applications in Industrial Inspection XV. 6503. 2 indexed citations
20.
Mériaudeau, Fabrice, et al.. (2006). Machine Vision Applications in Industrial Inspection XIV. 6070. 3 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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