Cyril Jaudet

1.1k total citations
33 papers, 819 citations indexed

About

Cyril Jaudet is a scholar working on Radiology, Nuclear Medicine and Imaging, Radiation and Biomedical Engineering. According to data from OpenAlex, Cyril Jaudet has authored 33 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Radiology, Nuclear Medicine and Imaging, 11 papers in Radiation and 11 papers in Biomedical Engineering. Recurrent topics in Cyril Jaudet's work include Medical Imaging Techniques and Applications (19 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Advanced Radiotherapy Techniques (10 papers). Cyril Jaudet is often cited by papers focused on Medical Imaging Techniques and Applications (19 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Advanced Radiotherapy Techniques (10 papers). Cyril Jaudet collaborates with scholars based in France, Belgium and Canada. Cyril Jaudet's co-authors include Cyril Proust, Baptiste Vignolle, D. Vignolles, N. E. Hussey, Rachel Cooper, A. Carrington, M. M. J. French, A. P. Mackenzie, W. N. Hardy and David Vignolles and has published in prestigious journals such as Nature, Physical Review Letters and Physical Review B.

In The Last Decade

Cyril Jaudet

32 papers receiving 807 citations

Peers

Cyril Jaudet
Mutsumi Tashiro Japan
Satoru Sugimoto Japan
Marcelo Miller United States
Daiki Tamada Japan
Maria Fuglsang Jensen Denmark
Tucker Netherton United States
Tomohiro Kajikawa Japan
H. V. Culbert United States
Falk Röder Germany
V. Prokić Germany
Mutsumi Tashiro Japan
Cyril Jaudet
Citations per year, relative to Cyril Jaudet Cyril Jaudet (= 1×) peers Mutsumi Tashiro

Countries citing papers authored by Cyril Jaudet

Since Specialization
Citations

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

Fields of papers citing papers by Cyril Jaudet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cyril Jaudet

This figure shows the co-authorship network connecting the top 25 collaborators of Cyril Jaudet. A scholar is included among the top collaborators of Cyril Jaudet 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 Cyril Jaudet. Cyril Jaudet 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.
Valable, Samuel, Cyril Jaudet, L. Thomas, et al.. (2025). Early characterization and prediction of glioblastoma and brain metastasis treatment efficacy using medical imaging-based radiomics and artificial intelligence algorithms. Frontiers in Oncology. 15. 1497195–1497195. 1 indexed citations
2.
Lemaire, R, Cyril Jaudet, Alexis Lechervy, et al.. (2024). Artificial intelligence solution to accelerate the acquisition of MRI images: Impact on the therapeutic care in oncology in radiology and radiotherapy departments. Cancer/Radiothérapie. 28(3). 251–257. 3 indexed citations
3.
4.
Quak, Elske, Idlir Licaj, Renaud Ciappuccini, et al.. (2023). Deep Learning Denoising Improves and Homogenizes Patient [18F]FDG PET Image Quality in Digital PET/CT. Diagnostics. 13(9). 1626–1626. 3 indexed citations
5.
Desmonts, Cédric, Charline Lasnon, Cyril Jaudet, & Nicolas Aide. (2023). PET imaging and quantification of small animals using a clinical SiPM-based camera. EJNMMI Physics. 10(1). 61–61. 2 indexed citations
6.
Corroyer‐Dulmont, Aurélien, et al.. (2023). Application of a new spectral deconvolution method for in vitro dosimetry in assessment of targeted alpha therapy. Medical Physics. 50(6). 3762–3772. 1 indexed citations
7.
Quak, Elske, et al.. (2023). Artificial intelligence-based 68Ga-DOTATOC PET denoising for optimizing 68Ge/68Ga generator use throughout its lifetime. Frontiers in Medicine. 10. 1137514–1137514. 2 indexed citations
8.
Lasnon, Charline, Renaud Ciappuccini, Aurélien Corroyer‐Dulmont, et al.. (2022). Artificial intelligence-based PET denoising could allow a two-fold reduction in [18F]FDG PET acquisition time in digital PET/CT. European Journal of Nuclear Medicine and Molecular Imaging. 49(11). 3750–3760. 32 indexed citations
9.
Jaudet, Cyril, Alexis Lechervy, Samuel Valable, et al.. (2021). The Impact of Resampling and Denoising Deep Learning Algorithms on Radiomics in Brain Metastases MRI. Cancers. 14(1). 36–36. 11 indexed citations
10.
Corroyer‐Dulmont, Aurélien, Cyril Jaudet, Katherine A. Vallis, et al.. (2021). Radioimmunotherapy for Brain Metastases: The Potential for Inflammation as a Target of Choice. Frontiers in Oncology. 11. 714514–714514. 4 indexed citations
11.
Jaudet, Cyril, et al.. (2019). Gated 18F-FDG PET/CT of the Lung Using a Respiratory Spirometric Gating Device: A Feasibility Study. Journal of Nuclear Medicine Technology. 47(3). 227–232. 3 indexed citations
12.
Dercle, Laurent, Samy Ammari, Mathilde Bateson, et al.. (2017). Limits of radiomic-based entropy as a surrogate of tumor heterogeneity: ROI-area, acquisition protocol and tissue site exert substantial influence. Scientific Reports. 7(1). 7952–7952. 68 indexed citations
13.
Dhont, Jennifer, Jef Vandemeulebroucke, Kenneth Poels, et al.. (2017). The long- and short-term variability of breathing induced tumor motion in lung and liver over the course of a radiotherapy treatment. Radiotherapy and Oncology. 126(2). 339–346. 104 indexed citations
14.
Gandia, Peggy, Cyril Jaudet, Étienne Chatelut, & Didier Concordet. (2016). Population Pharmacokinetics of Tracers: A New Tool for Medical Imaging?. Clinical Pharmacokinetics. 56(2). 101–106. 2 indexed citations
15.
Jaudet, Cyril, et al.. (2016). Dynamic Scintigraphy With SPECT-CT of Postoperative Salivary Leak. Clinical Nuclear Medicine. 41(5). e257–e258.
16.
Gandia, Peggy, Cyril Jaudet, Hendrik Everaert, et al.. (2016). Population Pharmacokinetic Approach Applied to Positron Emission Tomography: Computed Tomography for Tumor Tissue Identification in Patients with Glioma. Clinical Pharmacokinetics. 56(8). 953–961. 1 indexed citations
17.
Jaudet, Cyril, et al.. (2014). Comparison of an alternative and existing binning methods to reduce the acquisition duration of 4D PET/CT. Medical Physics. 41(11). 112503–112503. 3 indexed citations
18.
Dercle, Laurent, Roland Chisin, Samy Ammari, et al.. (2014). Nonsurgical giant cell tumour of the tendon sheath or of the diffuse type: Are MRI or 18F-FDG PET/CT able to provide an accurate prediction of long-term outcome?. European Journal of Nuclear Medicine and Molecular Imaging. 42(3). 397–408. 16 indexed citations
19.
Batatia, Hadj, et al.. (2012). The retrospective binning method improves the consistency of phase binning in respiratory-gated PET/CT. Physics in Medicine and Biology. 57(23). 7829–7841. 21 indexed citations
20.
Audouard, Alain, Cyril Jaudet, David Vignolles, et al.. (2009). Multiple Quantum Oscillations in the de Haas–van Alphen Spectra of the Underdoped High-Temperature SuperconductorYBa2Cu3O6.5. Physical Review Letters. 103(15). 157003–157003. 77 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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