Alexandre Carré

959 total citations
18 papers, 501 citations indexed

About

Alexandre Carré is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Alexandre Carré has authored 18 papers receiving a total of 501 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Biomedical Engineering and 5 papers in Artificial Intelligence. Recurrent topics in Alexandre Carré's work include Radiomics and Machine Learning in Medical Imaging (13 papers), Medical Imaging Techniques and Applications (5 papers) and AI in cancer detection (5 papers). Alexandre Carré is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (13 papers), Medical Imaging Techniques and Applications (5 papers) and AI in cancer detection (5 papers). Alexandre Carré collaborates with scholars based in France, United States and Russia. Alexandre Carré's co-authors include Charlotte Robert, Éric Deutsch, Roger Sun, Sylvain Reuzé, Nikos Paragios, Enzo Battistella, Marvin Lerousseau, Théo Estienne, Maria Vakalopoulou and Stéphane Niyoteka and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Alexandre Carré

18 papers receiving 496 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexandre Carré France 10 343 113 85 68 61 18 501
Sara Ahmed United States 9 244 0.7× 59 0.5× 53 0.6× 40 0.6× 26 0.4× 33 362
Turid Torheim United Kingdom 11 284 0.8× 66 0.6× 42 0.5× 68 1.0× 23 0.4× 16 449
Gaurav Shukla United States 9 207 0.6× 87 0.8× 49 0.6× 21 0.3× 35 0.6× 35 443
Michelle Bardis United States 8 370 1.1× 87 0.8× 151 1.8× 132 1.9× 37 0.6× 12 576
Yi Yin United States 10 226 0.7× 43 0.4× 57 0.7× 19 0.3× 145 2.4× 39 635
Mishka Gidwani United States 5 315 0.9× 62 0.5× 107 1.3× 143 2.1× 38 0.6× 7 480
Julián Pérez-Beteta Spain 11 305 0.9× 81 0.7× 114 1.3× 26 0.4× 27 0.4× 32 422
Rhea Chitalia United States 10 271 0.8× 38 0.3× 108 1.3× 97 1.4× 41 0.7× 21 441
Peter Ntiamoah United States 11 109 0.3× 29 0.3× 60 0.7× 122 1.8× 29 0.5× 27 418

Countries citing papers authored by Alexandre Carré

Since Specialization
Citations

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

Fields of papers citing papers by Alexandre Carré

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexandre Carré

This figure shows the co-authorship network connecting the top 25 collaborators of Alexandre Carré. A scholar is included among the top collaborators of Alexandre Carré 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 Alexandre Carré. Alexandre Carré is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Rouhi, Rahimeh, Stéphane Niyoteka, Alexandre Carré, et al.. (2024). Automatic gross tumor volume segmentation with failure detection for safe implementation in locally advanced cervical cancer. Physics and Imaging in Radiation Oncology. 30. 100578–100578. 5 indexed citations
2.
Carré, Alexandre, Stéphane Niyoteka, Cristina Veres, et al.. (2024). Deep-Learning for Rapid Estimation of the Out-of-Field Dose in External Beam Photon Radiation Therapy – A Proof of Concept. International Journal of Radiation Oncology*Biology*Physics. 120(1). 253–264. 1 indexed citations
3.
Yuste, Claudia, Alexandre Carré, Cristina Veres, et al.. (2023). P13.14.A PREDICTION OF OVERALL SURVIVAL IN HIGH-GRADE GLIOMA USING MULTIPARAMETRIC MRI-BASED RADIOMICS. APPLICATION TO A MULTICENTER COHORT. Neuro-Oncology. 25(Supplement_2). ii104–ii104. 1 indexed citations
4.
Sun, Roger, Marvin Lerousseau, Émilie Routier, et al.. (2022). Radiomics to evaluate interlesion heterogeneity and to predict lesion response and patient outcomes using a validated signature of CD8 cells in advanced melanoma patients treated with anti-PD1 immunotherapy. Journal for ImmunoTherapy of Cancer. 10(10). e004867–e004867. 21 indexed citations
5.
Sun, Roger, Alexandre Carré, Sophie Bockel, et al.. (2022). Imaging approaches and radiomics: toward a new era of ultraprecision radioimmunotherapy?. Journal for ImmunoTherapy of Cancer. 10(7). e004848–e004848. 22 indexed citations
6.
Carré, Alexandre, Enzo Battistella, Stéphane Niyoteka, et al.. (2022). AutoComBat: a generic method for harmonizing MRI-based radiomic features. Scientific Reports. 12(1). 12762–12762. 11 indexed citations
7.
Battistella, Enzo, Maria Vakalopoulou, Roger Sun, et al.. (2021). COMBING: Clustering in Oncology for Mathematical and Biological Identification of Novel Gene Signatures. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 19(6). 3317–3331. 3 indexed citations
8.
Sun, Roger, Marvin Lerousseau, Alexandre Carré, et al.. (2021). Intelligence artificielle en radiothérapie : radiomique, pathomique, et prédiction de la survie et de la réponse aux traitements. Cancer/Radiothérapie. 25(6-7). 630–637. 5 indexed citations
9.
10.
Carré, Alexandre, Alexandre Roux, Arnault Tauziède‐Espariat, et al.. (2021). Development of a Machine Learning Classifier Based on Radiomic Features Extracted From Post-Contrast 3D T1-Weighted MR Images to Distinguish Glioblastoma From Solitary Brain Metastasis. Frontiers in Oncology. 11. 638262–638262. 18 indexed citations
11.
Andres, Émilie Alvarez, Lucas Fidon, Maria Vakalopoulou, et al.. (2020). Dosimetry-Driven Quality Measure of Brain Pseudo Computed Tomography Generated From Deep Learning for MRI-Only Radiation Therapy Treatment Planning. International Journal of Radiation Oncology*Biology*Physics. 108(3). 813–823. 27 indexed citations
12.
Carré, Alexandre, G. Klausner, Myriam Edjlali, et al.. (2020). Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics. Scientific Reports. 10(1). 12340–12340. 164 indexed citations
13.
Carré, Alexandre, G. Klausner, Myriam Edjlali, et al.. (2020). PH-0532: Standardization of brain MRI across machines and protocols: bridging the gap for MRI-based radiomics. Radiotherapy and Oncology. 152. S294–S294. 1 indexed citations
14.
Estienne, Théo, Marvin Lerousseau, Maria Vakalopoulou, et al.. (2020). Deep Learning-Based Concurrent Brain Registration and Tumor Segmentation. Frontiers in Computational Neuroscience. 14. 17–17. 28 indexed citations
15.
16.
Ung, Mony, Elaine Johanna Limkin, Claire Petit, et al.. (2020). Improving Radiotherapy Workflow Through Implementation of Delineation Guidelines & AI-Based Annotation. International Journal of Radiation Oncology*Biology*Physics. 108(3). e315–e315. 9 indexed citations
17.
Limkin, Elaine Johanna, Sylvain Reuzé, Alexandre Carré, et al.. (2019). The complexity of tumor shape, spiculatedness, correlates with tumor radiomic shape features. Scientific Reports. 9(1). 4329–4329. 78 indexed citations
18.
Romine, Margaret F., Dmitry A. Rodionov, Yukari Maezato, et al.. (2017). Elucidation of roles for vitamin B 12 in regulation of folate, ubiquinone, and methionine metabolism. Proceedings of the National Academy of Sciences. 114(7). E1205–E1214. 76 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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