Paul Blanc‐Durand

946 total citations
31 papers, 554 citations indexed

About

Paul Blanc‐Durand is a scholar working on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine and Molecular Biology. According to data from OpenAlex, Paul Blanc‐Durand has authored 31 papers receiving a total of 554 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Radiology, Nuclear Medicine and Imaging, 10 papers in Pulmonary and Respiratory Medicine and 5 papers in Molecular Biology. Recurrent topics in Paul Blanc‐Durand's work include Radiomics and Machine Learning in Medical Imaging (10 papers), Medical Imaging Techniques and Applications (9 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (5 papers). Paul Blanc‐Durand is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (10 papers), Medical Imaging Techniques and Applications (9 papers) and Amyloidosis: Diagnosis, Treatment, Outcomes (5 papers). Paul Blanc‐Durand collaborates with scholars based in France, Switzerland and Germany. Paul Blanc‐Durand's co-authors include Emmanuel Itti, Niklaus Schaefer, John O. Prior, Simon Jégou, Axel Van Der Gucht, Olivier Casasnovas, Steven Le Gouill, Françoise Kraeber‐Bodéré, Caroline Bodet‐Milin and Alain Luciani and has published in prestigious journals such as PLoS ONE, Medical Physics and Medicine.

In The Last Decade

Paul Blanc‐Durand

29 papers receiving 549 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paul Blanc‐Durand France 13 331 117 85 73 71 31 554
Weimin Chai China 17 665 2.0× 95 0.8× 128 1.5× 107 1.5× 40 0.6× 58 978
Jian Zhu China 16 406 1.2× 300 2.6× 108 1.3× 156 2.1× 82 1.2× 69 894
Peng Zhou China 16 296 0.9× 191 1.6× 83 1.0× 84 1.2× 54 0.8× 96 715
Sabina Dizdarevic United Kingdom 13 600 1.8× 338 2.9× 103 1.2× 174 2.4× 48 0.7× 46 864
Xuehong Diao China 14 244 0.7× 141 1.2× 137 1.6× 44 0.6× 141 2.0× 38 667
Anupam Mondal India 16 389 1.2× 181 1.5× 41 0.5× 75 1.0× 48 0.7× 83 845
Matthias P. Fabritius Germany 17 175 0.5× 221 1.9× 62 0.7× 97 1.3× 70 1.0× 85 697
Imke Schatka Germany 15 229 0.7× 114 1.0× 59 0.7× 157 2.2× 69 1.0× 44 712
Hye Yoon Lee South Korea 18 167 0.5× 82 0.7× 53 0.6× 91 1.2× 124 1.7× 51 903
Jason Iannuccilli United States 11 122 0.4× 188 1.6× 51 0.6× 68 0.9× 104 1.5× 13 752

Countries citing papers authored by Paul Blanc‐Durand

Since Specialization
Citations

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

Fields of papers citing papers by Paul Blanc‐Durand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul Blanc‐Durand. 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 Paul Blanc‐Durand. The network helps show where Paul Blanc‐Durand may publish in the future.

Co-authorship network of co-authors of Paul Blanc‐Durand

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Blanc‐Durand. A scholar is included among the top collaborators of Paul Blanc‐Durand 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 Paul Blanc‐Durand. Paul Blanc‐Durand 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.
Blanc‐Durand, Paul, et al.. (2025). Characterization of artificial intelligence performance for lesion detection using synthetic lesions in PET imaging. Medical Physics. 52(6). 3994–4007.
2.
Blanc‐Durand, Paul, Louise Roulin, Charlotte Lafont, et al.. (2023). Baseline circulating tumour DNA and total metabolic tumour volume as early outcome predictors in aggressive large B‐cell lymphoma. A real‐world 112‐patient cohort. British Journal of Haematology. 202(1). 54–64. 12 indexed citations
3.
Itti, Emmanuel, Paul Blanc‐Durand, Alina Berriolo-Riedinger, et al.. (2023). Validation of the ΔSUVmaxfor Interim PET Interpretation in Diffuse Large B-Cell Lymphoma on the Basis of the GAINED Clinical Trial. Journal of Nuclear Medicine. 64(11). 1706–1711. 3 indexed citations
4.
Blanc‐Durand, Paul, Andrei Gafita, David Kersting, et al.. (2023). Is There a Role of Artificial Intelligence in Preclinical Imaging?. Seminars in Nuclear Medicine. 53(5). 687–693. 3 indexed citations
5.
Blanc‐Durand, Paul, É. Hachulla, Franck Semah, et al.. (2023). Deep Learning on Bone Scintigraphy to Detect Abnormal Cardiac Uptake at Risk of Cardiac Amyloidosis. JACC. Cardiovascular imaging. 16(8). 1085–1095. 17 indexed citations
6.
Blanc‐Durand, Paul, É. Hachulla, D. Huglo, et al.. (2021). Détection automatique des amyloses cardiaques en scintigraphie osseuse à l’aide du machine learning. La Revue de Médecine Interne. 42. A343–A343. 1 indexed citations
7.
Blanc‐Durand, Paul, Jean-Baptiste Schiratti, Klamer Schutte, et al.. (2020). Abdominal musculature segmentation and surface prediction from CT using deep learning for sarcopenia assessment. Diagnostic and Interventional Imaging. 101(12). 789–794. 40 indexed citations
8.
Campedel, Luca, Paul Blanc‐Durand, Jacqueline Lehmann‐Che, et al.. (2020). Prognostic Impact of Stromal Immune Infiltration before and after Neoadjuvant Chemotherapy (NAC) in Triple Negative Inflammatory Breast Cancers (TNIBC) Treated with Dose-Dense Dose-Intense NAC. Cancers. 12(9). 2657–2657. 6 indexed citations
9.
Blanc‐Durand, Paul, Simon Jégou, Salim Kanoun, et al.. (2020). Fully automatic segmentation of diffuse large B cell lymphoma lesions on 3D FDG-PET/CT for total metabolic tumour volume prediction using a convolutional neural network.. European Journal of Nuclear Medicine and Molecular Imaging. 48(5). 1362–1370. 94 indexed citations
10.
Blanc‐Durand, Paul, Luca Campedel, Sebastien Mulé, et al.. (2020). Prognostic value of anthropometric measures extracted from whole-body CT using deep learning in patients with non-small-cell lung cancer. European Radiology. 30(6). 3528–3537. 23 indexed citations
11.
Blanc‐Durand, Paul, Sandeep Kaushik, M. Soret, et al.. (2019). Attenuation correction using 3D deep convolutional neural network for brain 18F-FDG PET/MR: Comparison with Atlas, ZTE and CT based attenuation correction. PLoS ONE. 14(10). e0223141–e0223141. 36 indexed citations
12.
Abrivard, Marie, et al.. (2018). Severe posterior hypometabolism but normal perfusion in a patient with chronic fatigue syndrome/myalgic encephalomyelitis revealed by PET/MRI. European Journal of Nuclear Medicine and Molecular Imaging. 46(2). 531–532. 7 indexed citations
13.
Abrivard, Marie, Paul Blanc‐Durand, Axel Van Der Gucht, et al.. (2018). Macrophagic myofasciitis-associated dysfunctioning: An update of neuropsychological and neuroimaging features. Best Practice & Research Clinical Rheumatology. 32(5). 640–650. 8 indexed citations
14.
Blanc‐Durand, Paul, Antoine Verger, Karl‐Josef Langen, et al.. (2018). Voxel-based 18F-FET PET segmentation and automatic clustering of tumor voxels: A significant association with IDH1 mutation status and survival in patients with gliomas. PLoS ONE. 13(6). e0199379–e0199379. 19 indexed citations
15.
Charles‐Nelson, Anaïs, Axel Van Der Gucht, Paul Blanc‐Durand, et al.. (2017). Cognitive dysfunction associated with aluminum hydroxide-induced macrophagic myofasciitis: A reappraisal of neuropsychological profile. Journal of Inorganic Biochemistry. 181. 132–138. 9 indexed citations
16.
Gucht, Axel Van Der, Mukedaisi Abulizi, Paul Blanc‐Durand, et al.. (2017). Predictive value of brain 18F-FDG PET/CT in macrophagic myofasciitis?. Medicine. 96(39). e8134–e8134. 3 indexed citations
17.
Blanc‐Durand, Paul, Éric Guedj, Mukedaisi Abulizi, et al.. (2017). Cerebral 18F-FDG PET in macrophagic myofasciitis: An individual SVM-based approach. PLoS ONE. 12(7). e0181152–e0181152. 6 indexed citations
18.
Gucht, Axel Van Der, Anne‐Ségolène Cottereau, Mukedaisi Abulizi, et al.. (2017). Apical sparing pattern of left ventricular myocardial 99mTc-HMDP uptake in patients with transthyretin cardiac amyloidosis. Journal of Nuclear Cardiology. 25(6). 2072–2079. 16 indexed citations
19.
Gucht, Axel Van Der, Mario Jreige, Alban Denys, et al.. (2017). Resin Versus Glass Microspheres for 90Y Transarterial Radioembolization: Comparing Survival in Unresectable Hepatocellular Carcinoma Using Pretreatment Partition Model Dosimetry. Journal of Nuclear Medicine. 58(8). 1334–1340. 36 indexed citations
20.
Besson, Florent L., et al.. (2016). PET/CT and MRI Imaging of a Eumycetoma of the Right Thigh. Clinical Nuclear Medicine. 42(1). 61–63. 1 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026