Aurélien Corroyer‐Dulmont

769 total citations
30 papers, 595 citations indexed

About

Aurélien Corroyer‐Dulmont is a scholar working on Radiology, Nuclear Medicine and Imaging, Genetics and Cancer Research. According to data from OpenAlex, Aurélien Corroyer‐Dulmont has authored 30 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Genetics and 10 papers in Cancer Research. Recurrent topics in Aurélien Corroyer‐Dulmont's work include Glioma Diagnosis and Treatment (13 papers), Medical Imaging Techniques and Applications (11 papers) and Cancer, Hypoxia, and Metabolism (9 papers). Aurélien Corroyer‐Dulmont is often cited by papers focused on Glioma Diagnosis and Treatment (13 papers), Medical Imaging Techniques and Applications (11 papers) and Cancer, Hypoxia, and Metabolism (9 papers). Aurélien Corroyer‐Dulmont collaborates with scholars based in France, United Kingdom and Luxembourg. Aurélien Corroyer‐Dulmont's co-authors include Myriam Bernaudin, Samuel Valable, Eric T. MacKenzie, Jérôme Toutain, M.M. Leblond, Didier Divoux, Edwige Petit, Cyril Jaudet, Louisa Barré and Nadia Falzone and has published in prestigious journals such as Biomaterials, NeuroImage and Cancer Research.

In The Last Decade

Aurélien Corroyer‐Dulmont

28 papers receiving 591 citations

Peers

Countries citing papers authored by Aurélien Corroyer‐Dulmont

Since Specialization

Citations

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

Fields of papers citing papers by Aurélien Corroyer‐Dulmont

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aurélien Corroyer‐Dulmont. 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 Aurélien Corroyer‐Dulmont. The network helps show where Aurélien Corroyer‐Dulmont may publish in the future.

Co-authorship network of co-authors of Aurélien Corroyer‐Dulmont

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Early characterization and prediction of glioblastoma and brain metastasis treatment efficacy using medical imaging-based radiomics and artificial intelligence algorithms 2025 ·Frontiers in Oncology ·(unknown), Samuel Valable, Cyril Jaudet, (unknown), L. Thomas, Romain Hérault, Romain Modzelewski, Dinu Stefan, Juliette Thariat, Alexis Lechervy, Aurélien Corroyer‐Dulmont	1
2	Development and routine implementation of deep learning algorithm for automatic brain metastases segmentation on MRI for RANO-BM criteria follow-up 2025 ·NeuroImage ·(unknown), (unknown), Roger Y. Andres, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Joëlle Lacroix, Alexis Lechervy, Dinu Stefan, Aurélien Corroyer‐Dulmont	0
3	Machine learning and deep learning prediction of patient specific quality assurance in breast IMRT radiotherapy plans using Halcyon specific complexity indices 2024 ·Radiotherapy and Oncology ·(unknown), (unknown), Cyril Jaudet, (unknown), Aurélien Corroyer‐Dulmont	3
4	Deep Learning Denoising Improves and Homogenizes Patient [18F]FDG PET Image Quality in Digital PET/CT 2023 ·Diagnostics ·(unknown), Elske Quak, Idlir Licaj, Renaud Ciappuccini, Charline Lasnon, Aurélien Corroyer‐Dulmont, (unknown), Stéphane Bardet, Cyril Jaudet	3
5	Application of a new spectral deconvolution method for in vitro dosimetry in assessment of targeted alpha therapy 2023 ·Medical Physics ·(unknown), Aurélien Corroyer‐Dulmont, Cyril Jaudet, Myriam Bernaudin, Samuel Valable, X. Ledoux, (unknown)	1
6	Deep Hybrid Learning Prediction of Patient-Specific Quality Assurance in Radiotherapy: Implementation in Clinical Routine 2023 ·Diagnostics ·(unknown), (unknown), Cyril Jaudet, (unknown), Nadia Falzone, A. Batalla, (unknown), Aurélien Corroyer‐Dulmont	3
7	Artificial intelligence-based PET denoising could allow a two-fold reduction in [18F]FDG PET acquisition time in digital PET/CT 2022 ·European Journal of Nuclear Medicine and Molecular Imaging ·(unknown), Charline Lasnon, Renaud Ciappuccini, (unknown), Aurélien Corroyer‐Dulmont, Elske Quak, Bénédicte Clarisse, (unknown), Stéphane Bardet, Cyril Jaudet	32
8	The Impact of Resampling and Denoising Deep Learning Algorithms on Radiomics in Brain Metastases MRI 2021 ·Cancers ·(unknown), Cyril Jaudet, Alexis Lechervy, Samuel Valable, (unknown), (unknown), Juliette Thariat, Nadia Falzone, Joëlle Lacroix, A. Batalla, Aurélien Corroyer‐Dulmont	11
9	Radioimmunotherapy for Brain Metastases: The Potential for Inflammation as a Target of Choice 2021 ·Frontiers in Oncology ·Aurélien Corroyer‐Dulmont, Cyril Jaudet, (unknown), (unknown), (unknown), Katherine A. Vallis, Nadia Falzone, Nicola R. Sibson, Michel Chérel, Françoise Kraeber‐Bodéré, A. Batalla, Stéphane Bardet, Myriam Bernaudin, Samuel Valable	4
10	The Impact of Artificial Intelligence CNN Based Denoising on FDG PET Radiomics 2021 ·Frontiers in Oncology ·Cyril Jaudet, (unknown), Alexis Lechervy, A. Batalla, Stéphane Bardet, Aurélien Corroyer‐Dulmont	15
11	Multimodal evaluation of hypoxia in brain metastases of lung cancer and interest of hypoxia image-guided radiotherapy 2021 ·Scientific Reports ·Aurélien Corroyer‐Dulmont, Samuel Valable, (unknown), Laurent Châtre, Jérôme Toutain, (unknown), Céline Bazille, (unknown), Jérôme Levallet, Didier Divoux, Méziane Ibazizène, Stéphane Guillouet, Cécile Perrio, Louisa Barré, Sébastien Serres, Nicola R. Sibson, Françoise Chapon, Guénaëlle Levallet, Myriam Bernaudin	20
12	Nanosized zeolites as a gas delivery platform in a glioblastoma model 2020 ·Biomaterials ·Clément Anfray, (unknown), Aurélien Corroyer‐Dulmont, Moussa Zaarour, (unknown), Uğur Özçelik, (unknown), Jérôme Toutain, (unknown), Edwige Petit, Karim Bordji, Myriam Bernaudin, Valentin Valtchev, Omar Touzani, Svetlana Mintova, Samuel Valable	22
13	VCAM-1 TARGETED ALPHA-PARTICLE THERAPY FOR EARLY BRAIN METASTASES. 2019 ·HAL (Le Centre pour la Communication Scientifique Directe) ·Aurélien Corroyer‐Dulmont, Samuel Valable, Nadia Falzone, (unknown), Ole Tietz, Jérôme Toutain, Manuel Sarmiento Soto, (unknown), Laurent Chazalviel, Elodie A. Pérès, Nicola R. Sibson, Katherine A. Vallis, Myriam Bernaudin	2
14	Hypoxia Imaging and Adaptive Radiotherapy: A State-of-the-Art Approach in the Management of Glioma 2019 ·Frontiers in Medicine ·(unknown), Aurélien Corroyer‐Dulmont, Paul Lesueur, (unknown), Michel Chérel, Mickaël Bourgeois, Dinu Stefan, Elaine Johanna Limkin, Cécile Perrio, Jean‐Sébastien Guillamo, Bernard Dubray, Myriam Bernaudin, Juliette Thariat, Samuel Valable	45
15	Improved outcome of 131 I-mIBG treatment through combination with external beam radiotherapy in the SK-N-SH mouse model of neuroblastoma 2017 ·Radiotherapy and Oncology ·Aurélien Corroyer‐Dulmont, Nadia Falzone, Veerle Kersemans, James Thompson, Philip D. Allen, Sarah Able, Christiana Kartsonaki, (unknown), Paul Kinchesh, Mark A. Hill, Borivoj Vojnovic, Sean Smart, Mark N. Gaze, Katherine A. Vallis	11
16	Dosimetric evaluation of radionuclides for VCAM-1-targeted radionuclide therapy of early brain metastases 2017 ·Theranostics ·Nadia Falzone, (unknown), (unknown), Mario A. Bernal, (unknown), Sarah G.J.A. Peeters, Manuel Sarmiento Soto, Aurélien Corroyer‐Dulmont, Myriam Bernaudin, (unknown), Omar Touzani, Nicola R. Sibson, Katherine A. Vallis	24
17	MRI-guided radiotherapy of the SK-N-SH neuroblastoma xenograft model using a small animal radiation research platform 2016 ·British Journal of Radiology ·Aurélien Corroyer‐Dulmont, Nadia Falzone, Veerle Kersemans, James Thompson, Mark A. Hill, Philip D. Allen, John S. Beech, Stuart Gilchrist, Paul Kinchesh, Borivoj Vojnovic, Iain D. C. Tullis, Mark N. Gaze, Sean Smart, Katherine A. Vallis	12
18	Imaging Modalities to Assess Oxygen Status in Glioblastoma 2015 ·Frontiers in Medicine ·Aurélien Corroyer‐Dulmont, Ararat Chakhoyan, (unknown), (unknown), Eric T. MacKenzie, Edwige Petit, Myriam Bernaudin, Omar Touzani, Samuel Valable	20
19	Multimodal imaging based on MRI and PET reveals [18F]FLT PET as a specific and early indicator of treatment efficacy in a preclinical model of recurrent glioblastoma 2015 ·European Journal of Nuclear Medicine and Molecular Imaging ·Aurélien Corroyer‐Dulmont, Elodie A. Pérès, (unknown), Ariel Savina, Fanny Bouquet, Didier Divoux, Jérôme Toutain, Méziane Ibazizène, Eric T. MacKenzie, Louisa Barré, Myriam Bernaudin, Edwige Petit, Samuel Valable	18
20	Inactivation of the HIF-1α/PDK3 Signaling Axis Drives Melanoma toward Mitochondrial Oxidative Metabolism and Potentiates the Therapeutic Activity of Pro-Oxidants 2012 ·Cancer Research ·Jérôme Kluza, Paola Corazao-Rozas, Yasmine Touil, Manel Jendoubi, Cyril Maire, P. Guerreschi, Aurélie Jonneaux, Caroline Ballot, Stéphane Balayssac, Samuel Valable, Aurélien Corroyer‐Dulmont, Myriam Bernaudin, Myriam Malet‐Martino, Elisabeth Martin de Lassalle, Patrice Maboudou, Pierre Formstecher, Renata Polakowska, Laurent Mortier, Philippe Marchetti	121

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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