Pierre Decazes

1.6k total citations
55 papers, 831 citations indexed

About

Pierre Decazes is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Radiation. According to data from OpenAlex, Pierre Decazes has authored 55 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Radiology, Nuclear Medicine and Imaging, 19 papers in Pulmonary and Respiratory Medicine and 9 papers in Radiation. Recurrent topics in Pierre Decazes's work include Medical Imaging Techniques and Applications (30 papers), Radiomics and Machine Learning in Medical Imaging (23 papers) and Lung Cancer Diagnosis and Treatment (10 papers). Pierre Decazes is often cited by papers focused on Medical Imaging Techniques and Applications (30 papers), Radiomics and Machine Learning in Medical Imaging (23 papers) and Lung Cancer Diagnosis and Treatment (10 papers). Pierre Decazes collaborates with scholars based in France, United States and China. Pierre Decazes's co-authors include Pierre Véra, Su Ruan, Pierre Bohn, S. Thureau, Isabelle Gardin, Romain Modzelewski, Stéphanie Becker, Thierry Denœux, Ling Huang and Amine Amyar and has published in prestigious journals such as Scientific Reports, Annals of Oncology and Medical Physics.

In The Last Decade

Pierre Decazes

51 papers receiving 824 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pierre Decazes France 19 451 198 181 158 111 55 831
Weimin Chai China 17 665 1.5× 95 0.5× 107 0.6× 60 0.4× 128 1.2× 58 978
Harrison X. Bai United States 21 394 0.9× 365 1.8× 192 1.1× 68 0.4× 87 0.8× 90 1.2k
Florian Putz Germany 16 300 0.7× 220 1.1× 135 0.7× 42 0.3× 87 0.8× 91 945
Carina Marí Aparici United States 18 593 1.3× 356 1.8× 250 1.4× 66 0.4× 101 0.9× 85 1.3k
Charles Marcus United States 20 612 1.4× 389 2.0× 211 1.2× 178 1.1× 74 0.7× 60 1.3k
Pierre Lovinfosse Belgium 18 736 1.6× 409 2.1× 228 1.3× 37 0.2× 186 1.7× 54 1.1k
Paul Blanc‐Durand France 13 331 0.7× 117 0.6× 73 0.4× 53 0.3× 85 0.8× 31 554
Chunhong Hu China 17 492 1.1× 233 1.2× 140 0.8× 37 0.2× 166 1.5× 73 895
Anat Kornecki Canada 15 220 0.5× 183 0.9× 141 0.8× 102 0.6× 111 1.0× 41 902
Elin Trägårdh Sweden 20 766 1.7× 438 2.2× 134 0.7× 38 0.2× 243 2.2× 103 1.1k

Countries citing papers authored by Pierre Decazes

Since Specialization
Citations

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

Fields of papers citing papers by Pierre Decazes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pierre Decazes

This figure shows the co-authorship network connecting the top 25 collaborators of Pierre Decazes. A scholar is included among the top collaborators of Pierre Decazes 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 Pierre Decazes. Pierre Decazes 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.
2.
Dieudonné, Arnaud, Agathe Edet‐Sanson, Pierre Véra, et al.. (2025). Towards fully automatized [177Lu]Lu-PSMA personalized dosimetry based on 360° CZT whole-body SPECT/CT: a proof-of-concept. EJNMMI Physics. 12(1). 25–25. 2 indexed citations
3.
Becker, Stéphanie, Sydney Dubois, Pierre Véra, et al.. (2024). Combining Total Metabolic Tumor Volume With Beta‐2‐Microglobulin Levels Predicts Outcomes in High‐Burden Follicular Lymphoma Patients. Hematological Oncology. 43(1). e70010–e70010. 1 indexed citations
4.
Huang, Ling, Su Ruan, Pierre Decazes, & Thierry Denœux. (2024). Deep evidential fusion with uncertainty quantification and reliability learning for multimodal medical image segmentation. Information Fusion. 113. 102648–102648. 17 indexed citations
5.
Camus, Vincent, Stéphanie Becker, Fabrice Jardin, et al.. (2024). Prognostic value of the combination of volume, massiveness and fragmentation parameters measured on baseline FDG pet in high-burden follicular lymphoma. Scientific Reports. 14(1). 8033–8033. 6 indexed citations
6.
Decazes, Pierre, Samy Ammari, Baya Benatsou, et al.. (2023). Body Composition to Define Prognosis of Cancers Treated by Anti-Angiogenic Drugs. Diagnostics. 13(2). 205–205. 4 indexed citations
7.
Decazes, Pierre, Samy Ammari, Hugues Talbot, et al.. (2023). Synergic prognostic value of 3D CT scan subcutaneous fat and muscle masses for immunotherapy-treated cancer. Journal for ImmunoTherapy of Cancer. 11(9). e007315–e007315. 9 indexed citations
8.
Eid, Raymond E., Pierre Decazes, Cristina Smolenschi, et al.. (2023). P-131 Evaluation of predictive factors of toxicity of chemotherapy with FOLFIRINOX in patients treated for pancreatic adenocarcinoma. Annals of Oncology. 34. S61–S62.
9.
Baste, Jean‐Marc, Elodie Lhuillier, A. Cuvelier, et al.. (2023). Respiratory muscle metabolic activity on PET/CT correlates with obstructive ventilatory defect severity and prognosis in patients undergoing lung cancer surgery. Respirology. 28(6). 551–560. 2 indexed citations
10.
Decazes, Pierre, et al.. (2023). Advances in PET and MRI imaging of tumor hypoxia. Frontiers in Medicine. 10. 1055062–1055062. 21 indexed citations
11.
Bonardel, G., Pierre Decazes, Mathieu Queneau, et al.. (2022). Clinical and phantom validation of a deep learning based denoising algorithm for F-18-FDG PET images from lower detection counting in comparison with the standard acquisition. EJNMMI Physics. 9(1). 36–36. 19 indexed citations
12.
13.
Yousefirizi, Fereshteh, Pierre Decazes, Amine Amyar, et al.. (2021). AI-Based Detection, Classification and Prediction/Prognosis in Medical Imaging. PET Clinics. 17(1). 183–212. 44 indexed citations
14.
Thureau, S., Justine Lequesne, Agathe Edet‐Sanson, et al.. (2020). Impact of the Bayesian penalized likelihood algorithm (Q.Clear®) in comparison with the OSEM reconstruction on low contrast PET hypoxic images. EJNMMI Physics. 7(1). 28–28. 15 indexed citations
15.
Decazes, Pierre, Vincent Camus, Élodie Bohers, et al.. (2020). Correlations between baseline 18F-FDG PET tumour parameters and circulating DNA in diffuse large B cell lymphoma and Hodgkin lymphoma. EJNMMI Research. 10(1). 120–120. 15 indexed citations
16.
Thureau, S., et al.. (2020). PET and MRI guided adaptive radiotherapy: Rational, feasibility and benefit. Cancer/Radiothérapie. 24(6-7). 635–644. 9 indexed citations
17.
Decazes, Pierre, et al.. (2020). Tomographie par émission de positons (TEP) pour la radiothérapie : technique et innovations. Cancer/Radiothérapie. 24(6-7). 628–634. 1 indexed citations
18.
Xing, Lei, et al.. (2020). Radiomics: A primer for the radiation oncologist. Cancer/Radiothérapie. 24(5). 403–410. 58 indexed citations
19.
Hu, Haigen, Pierre Decazes, Pierre Véra, Hua Li, & Su Ruan. (2019). Detection and segmentation of lymphomas in 3D PET images via clustering with entropy-based optimization strategy. International Journal of Computer Assisted Radiology and Surgery. 14(10). 1715–1724. 20 indexed citations
20.
Decazes, Pierre, Stéphanie Becker, Pierre Véra, et al.. (2018). Tumor fragmentation estimated by volume surface ratio of tumors measured on 18F-FDG PET/CT is an independent prognostic factor of diffuse large B-cell lymphoma. European Journal of Nuclear Medicine and Molecular Imaging. 45(10). 1672–1679. 24 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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