Loïc Duron

1.7k total citations · 1 hit paper
33 papers, 991 citations indexed

About

Loïc Duron is a scholar working on Radiology, Nuclear Medicine and Imaging, Epidemiology and Biomedical Engineering. According to data from OpenAlex, Loïc Duron has authored 33 papers receiving a total of 991 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Radiology, Nuclear Medicine and Imaging, 8 papers in Epidemiology and 7 papers in Biomedical Engineering. Recurrent topics in Loïc Duron's work include Radiomics and Machine Learning in Medical Imaging (14 papers), MRI in cancer diagnosis (9 papers) and Multiple Sclerosis Research Studies (4 papers). Loïc Duron is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (14 papers), MRI in cancer diagnosis (9 papers) and Multiple Sclerosis Research Studies (4 papers). Loïc Duron collaborates with scholars based in France, United States and Martinique. Loïc Duron's co-authors include Augustin Lecler, Philippe Soyer, Julien Savatovsky, Laure Fournier, Daniel Balvay, Jean‐Claude Sadik, Frédérique Charbonneau, Saskia Vande Perre, Isabelle Thomassin‐Naggara and A. Feydy and has published in prestigious journals such as PLoS ONE, Neurology and Scientific Reports.

In The Last Decade

Loïc Duron

30 papers receiving 979 citations

Hit Papers

Revolutionizing radiology with GPT-based models: Current ... 2023 2026 2024 2025 2023 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Revolutionizing radiology with GPT-based models: Current applications, future possibilities and limitations of ChatGPT
    2023 227 citations Augustin Lecler, Loïc Duron et al. Diagnostic and Interventional Imaging profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Loïc Duron France 14 608 285 188 182 166 33 991
Bernardo C. Bizzo United States 17 546 0.9× 277 1.0× 146 0.8× 220 1.2× 137 0.8× 59 880
Teodoro Martín‐Noguerol Spain 18 542 0.9× 180 0.6× 60 0.3× 132 0.7× 195 1.2× 74 970
Augustin Lecler France 20 670 1.1× 211 0.7× 436 2.3× 170 0.9× 154 0.9× 113 1.7k
Jaron Chong Canada 20 649 1.1× 293 1.0× 136 0.7× 176 1.0× 209 1.3× 52 1.2k
Luke Gompels United Kingdom 10 180 0.3× 290 1.0× 75 0.4× 86 0.5× 180 1.1× 13 1.0k
Andrea Ponsiglione Italy 19 635 1.0× 85 0.3× 403 2.1× 182 1.0× 73 0.4× 77 1.1k
Soleen Ghafoor Switzerland 15 580 1.0× 87 0.3× 363 1.9× 77 0.4× 307 1.8× 49 1.1k
Aydın Demircioğlu Germany 16 545 0.9× 64 0.2× 186 1.0× 168 0.9× 132 0.8× 53 861
Rajesh Bhayana Canada 12 519 0.9× 492 1.7× 105 0.6× 46 0.3× 187 1.1× 30 849
Hwiyoung Kim South Korea 18 466 0.8× 103 0.4× 143 0.8× 215 1.2× 98 0.6× 42 902

Countries citing papers authored by Loïc Duron

Since Specialization
Citations

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

Fields of papers citing papers by Loïc Duron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Loïc Duron

This figure shows the co-authorship network connecting the top 25 collaborators of Loïc Duron. A scholar is included among the top collaborators of Loïc Duron 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 Loïc Duron. Loïc Duron 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
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Duron, Loïc, P. Koskas, Émilie Poirion, et al.. (2025). Synthetic MRI for Detecting Abnormal Signals in the Optic Nerves. Investigative Radiology. 61(4). 261–271. 1 indexed citations
3.
Lopes, Renaud, Thibaut Dondaine, Loïc Duron, et al.. (2025). Long‐Term Post‐Stroke Cognition in Patients With Minor Ischemic Stroke is Related to Tract‐Based Disconnection Induced by White Matter Hyperintensities. Human Brain Mapping. 46(2). e70138–e70138. 2 indexed citations
4.
Lecler, Augustin, Émilie Poirion, Caroline Papeix, et al.. (2025). Deep learning-based image reconstruction significantly improves image quality of MRI examinations of the orbit at 3 Tesla. Diagnostic and Interventional Imaging.
5.
6.
Savatovsky, Julien, et al.. (2024). Toward Precision Diagnosis. Investigative Radiology. 59(10). 737–745. 1 indexed citations
7.
Lecler, Augustin, Loïc Duron, & Philippe Soyer. (2023). Revolutionizing radiology with GPT-based models: Current applications, future possibilities and limitations of ChatGPT. Diagnostic and Interventional Imaging. 104(6). 269–274. 227 indexed citations breakdown →
8.
Habert, Paul, Laure Gibault, P. Thomas, et al.. (2023). Best imaging signs identified by radiomics could outperform the model: application to differentiating lung carcinoid tumors from atypical hamartomas. Insights into Imaging. 14(1). 148–148. 6 indexed citations
9.
Duron, Loïc, et al.. (2023). Comparative performances of machine learning algorithms in radiomics and impacting factors. Scientific Reports. 13(1). 14069–14069. 11 indexed citations
10.
Lecler, Augustin, Loïc Duron, Emily S. Charlson, et al.. (2022). Comparison between 7 Tesla and 3 Tesla MRI for characterizing orbital lesions. Diagnostic and Interventional Imaging. 103(9). 433–439. 10 indexed citations
11.
Auclin, Édouard, et al.. (2022). Validation of a deep learning segmentation algorithm to quantify the skeletal muscle index and sarcopenia in metastatic renal carcinoma. European Radiology. 32(7). 4728–4737. 10 indexed citations
12.
Duron, Loïc, et al.. (2021). Digital health, big data and smart technologies for the care of patients with systemic autoimmune diseases: Where do we stand?. Autoimmunity Reviews. 20(8). 102864–102864. 33 indexed citations
13.
Perre, Saskia Vande, Loïc Duron, Daniel Balvay, et al.. (2021). Radiomic analysis of HTR-DCE MR sequences improves diagnostic performance compared to BI-RADS analysis of breast MR lesions. European Radiology. 31(7). 4848–4859. 11 indexed citations
14.
Duron, Loïc, Julien Savatovsky, Laure Fournier, & Augustin Lecler. (2021). Can we use radiomics in ultrasound imaging? Impact of preprocessing on feature repeatability. Diagnostic and Interventional Imaging. 102(11). 659–667. 26 indexed citations
15.
Savatovsky, Julien, Loïc Duron, Robert Fahed, et al.. (2019). Improved detection and characterization of arterial occlusion in acute ischemic stroke using contrast enhanced MRA. Journal of Neuroradiology. 47(4). 278–283. 16 indexed citations
16.
Clavel, Gaëlle, Frédérique Charbonneau, Loïc Duron, et al.. (2019). Three Tesla 3D High-Resolution Vessel Wall MRI of the Orbit may Differentiate Arteritic From Nonarteritic Anterior Ischemic Optic Neuropathy. Investigative Radiology. 54(11). 712–718. 20 indexed citations
17.
Lecler, Augustin, Loïc Duron, Daniel Balvay, et al.. (2019). Combining Multiple Magnetic Resonance Imaging Sequences Provides Independent Reproducible Radiomics Features. Scientific Reports. 9(1). 2068–2068. 40 indexed citations
18.
Guéguen, Antoine, Marie‐Astrid Metten, Romain Deschamps, et al.. (2018). Improved Detection of New MS Lesions during Follow-Up Using an Automated MR Coregistration-Fusion Method. American Journal of Neuroradiology. 39(7). 1226–1232. 12 indexed citations
19.
20.
Lhote, Raphaël, Julien Haroche, Loïc Duron, et al.. (2016). Pulmonary hyalinizing granuloma: a multicenter study of 5 new cases and review of the 135 cases of the literature. Immunologic Research. 65(1). 375–385. 22 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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