Jean-Marc Vrigneaud is an expert in Nuclear medicine at Centre Georges François Leclerc (France). Jean-Marc Vrigneaud has authored 74 publications, the most recent in 2026. SLR score: 160 (community average: 125). How the SLR is computed.

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Jean-Marc Vrigneaud Centre Georges François Leclerc France
160 ScienceLeadR Reputation 160
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Nuclear medicine

Subspecialties: Informatics - Oncology - Medical Imaging

Full career – Last 3 years

Main Topics

Publications and Clinical Studies

Publications – Clinical Studies

Profile data updated on

Organizations

Career arc: 2012 - 2026

Source: PubMed

Centre Georges François Leclerc

Publications Synthesis

Sources: PubMed, OpenAlex

Number : 74

Citations

Citations: 772 1st author: 6 Last author: 9 Unique author: 0


Best Journals

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Latest Publications

5 most recent indexed articles

Source: Pubmed

Title Journal Year Citations
Optimising [Formula: see text] PET imaging for dosimetry in SIRT: insights from phantom and simulation studies on the Discovery MI scanner.
PMID 42348087 — sirtuins, positron-emission tomography
EJNMMI Phys20260
Automatic computation of breast cancer biomarkers from multiple [Formula: see text] F-FDG PET image segmentation.
PMID 42151250 — breast neoplasms, positron-emission tomography, neoplasms, drug therapy, biomarkers, breast, learning, chemotherapy
Sci Rep20260
Assessing the suitability of automated registration and segmentation for dosimetry calculations in SIRT treatment planning.
PMID 42143172 — sirtuins, tomography, single photon emission computed tomography computed tomography, liver, deep learning, tomography, emission-computed, single-photon, therapeutics, learning
EJNMMI Phys20260
18F-FDG and 18F-Fluorocholine PET as Prognostic Biomarkers in Patients with Advanced Hepatocellular Carcinoma Treated with Sorafenib: A Prospective Multicenter Study.
PMID 42061943 — choline, choline kinase, carcinoma, hepatocellular, neoplasms, sorafenib, liver, biomarkers, fluorodeoxyglucose f18, tumor burden, nuclear medicine, therapeutics
J Nucl Med20260
Tackling data scarcity: Synthetic tumour and mask generation to improve image segmentation.
PMID 41494363 — masks, artificial intelligence
Artif Intell Med20250

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