Adrien Depeursinge

8.2k total citations
117 papers, 2.3k citations indexed

About

Adrien Depeursinge is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Adrien Depeursinge has authored 117 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Radiology, Nuclear Medicine and Imaging, 46 papers in Computer Vision and Pattern Recognition and 45 papers in Artificial Intelligence. Recurrent topics in Adrien Depeursinge's work include Radiomics and Machine Learning in Medical Imaging (60 papers), AI in cancer detection (39 papers) and Image Retrieval and Classification Techniques (32 papers). Adrien Depeursinge is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (60 papers), AI in cancer detection (39 papers) and Image Retrieval and Classification Techniques (32 papers). Adrien Depeursinge collaborates with scholars based in Switzerland, United States and France. Adrien Depeursinge's co-authors include Henning Müller, Antonio Foncubierta–Rodríguez, Alexandra Platon, Pierre‐Alexandre Poletti, Daniel L. Rubin, Dimitri Van De Ville, Antoine Geissbühler, Assaf Hoogi, Vincent Andrearczyk and Gilles Cohen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

Adrien Depeursinge

107 papers receiving 2.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Adrien Depeursinge 1.3k 856 611 531 282 117 2.3k
Yao Lu 956 0.8× 671 0.8× 519 0.8× 501 0.9× 410 1.5× 161 2.2k
Paul Koppel 2.1k 1.6× 932 1.1× 730 1.2× 788 1.5× 592 2.1× 13 3.2k
Bruce A. Vendt 2.1k 1.7× 959 1.1× 739 1.2× 802 1.5× 584 2.1× 9 3.3k
Hongmin Cai 906 0.7× 912 1.1× 788 1.3× 149 0.3× 223 0.8× 200 3.0k
Lawrence Tarbox 2.2k 1.8× 1.0k 1.2× 787 1.3× 834 1.6× 617 2.2× 16 3.3k
Chung‐Ming Chen 1.1k 0.9× 652 0.8× 452 0.7× 470 0.9× 261 0.9× 127 2.5k
Panagiotis Korfiatis 1.7k 1.4× 746 0.9× 313 0.5× 434 0.8× 498 1.8× 67 3.0k
Ravi K. Samala 1.6k 1.2× 1.4k 1.6× 382 0.6× 600 1.1× 361 1.3× 80 2.6k
Bulat Ibragimov 1.2k 1.0× 533 0.6× 430 0.7× 314 0.6× 913 3.2× 76 2.5k

Countries citing papers authored by Adrien Depeursinge

Since Specialization
Citations

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

Fields of papers citing papers by Adrien Depeursinge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adrien Depeursinge

This figure shows the co-authorship network connecting the top 25 collaborators of Adrien Depeursinge. A scholar is included among the top collaborators of Adrien Depeursinge 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 Adrien Depeursinge. Adrien Depeursinge 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.
Abler, Daniel, Thomas Vetterli, Olivier Rouaud, et al.. (2025). A Radiomics-Based Analysis of Functional Dopaminergic Scintigraphic Imaging for the Diagnosis of Dementia with Lewy Bodies. Neurodegenerative Diseases. 1–10.
2.
Schiappacasse, Luis, Jean Bourhis, John O. Prior, et al.. (2025). The value of AI for assessing longitudinal brain metastases treatment response. Neuro-Oncology Advances. 7(1). vdae216–vdae216.
3.
Schmidt, Sabine, Daniel Abler, Thomas Vetterli, et al.. (2025). MRI and CT radiomics for the diagnosis of acute pancreatitis. European Journal of Radiology Open. 14. 100636–100636. 1 indexed citations
4.
Depeursinge, Adrien, et al.. (2024). Making sense of radiomics: insights on human–AI collaboration in medical interaction from an observational user study. Frontiers in Communication. 8. 3 indexed citations
5.
Abler, Daniel, Roger Schaer, Valentin Oreiller, et al.. (2023). QuantImage v2: a comprehensive and integrated physician-centered cloud platform for radiomics and machine learning research. European Radiology Experimental. 7(1). 16–16. 7 indexed citations
6.
Verma, Himanshu, Roger Schaer, Mario Jreige, et al.. (2023). Rethinking the Role of AI with Physicians in Oncology: Revealing Perspectives from Clinical and Research Workflows. ArODES (HES-SO (https://www.hes-so.ch/)). 1–19. 28 indexed citations
7.
Bach, Michael, Christoph Aberle, Adrien Depeursinge, et al.. (2023). 3D‐printed iodine‐ink CT phantom for radiomics feature extraction ‐ advantages and challenges. Medical Physics. 50(9). 5682–5697. 1 indexed citations
8.
Graziani, Mara, Davide Calvaresi, Mor Vered, et al.. (2022). A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences. Artificial Intelligence Review. 56(4). 3473–3504. 65 indexed citations
9.
Jreige, Mario, Valentin Oreiller, Marie Nicod Lalonde, et al.. (2022). Reproducibility of lung cancer radiomics features extracted from data-driven respiratory gating and free-breathing flow imaging in [18F]-FDG PET/CT. SHILAP Revista de lepidopterología. 6(1). 33–33. 6 indexed citations
10.
Andrearczyk, Vincent, Valentin Oreiller, Daniel Abler, et al.. (2022). Cleaning radiotherapy contours for radiomics studies, is it worth it? A head and neck cancer study. Clinical and Translational Radiation Oncology. 33. 153–158. 5 indexed citations
11.
Fageot, Julien, Virginie Uhlmann, Zsuzsanna Püspöki, et al.. (2021). Principled Design and Implementation of Steerable Detectors. SERVAL (Université de Lausanne). 3 indexed citations
12.
Graziani, Mara, et al.. (2021). On the Scale Invariance in State of the Art CNNs Trained on ImageNet. SHILAP Revista de lepidopterología. 3(2). 374–391. 13 indexed citations
13.
Andrearczyk, Vincent, Valentin Oreiller, Martin Vallières, et al.. (2020). Automatic Segmentation of Head and Neck Tumors and Nodal Metastases in PET-CT scans. ArODES (HES-SO (https://www.hes-so.ch/)). 33–43. 24 indexed citations
14.
Cherezov, Dmitry, Dmitry B. Goldgof, Lawrence Hall, et al.. (2019). Revealing Tumor Habitats from Texture Heterogeneity Analysis for Classification of Lung Cancer Malignancy and Aggressiveness. Scientific Reports. 9(1). 4500–4500. 34 indexed citations
15.
Castelli, J., Adrien Depeursinge, Berardino De Bari, et al.. (2017). Metabolic Tumor Volume and Total Lesion Glycolysis in Oropharyngeal Cancer Treated With Definitive Radiotherapy. Clinical Nuclear Medicine. 42(6). e281–e285. 7 indexed citations
16.
Depeursinge, Adrien, et al.. (2017). Biomedical texture analysis : fundamentals, tools and challenges. CERN Document Server (European Organization for Nuclear Research). 21 indexed citations
17.
Müller, Henning, et al.. (2015). Hierarchic anatomical structure segmentation guided by spatial correlations (AnatSeg-Gspac) :.
18.
Müller, Henning, et al.. (2015). Efficient and fully automatic segmentation of the lungs in CT volumes. ArODES (HES-SO (https://www.hes-so.ch/)). 31–35. 25 indexed citations
19.
Depeursinge, Adrien, Antonio Foncubierta–Rodríguez, Dimitri Van De Ville, & Henning Müller. (2014). Three-dimensional solid texture analysis in biomedical imaging. Medical Image Analysis. 18(1). 1 indexed citations
20.
Depeursinge, Adrien, et al.. (2007). The MedGIFT Project: Global Perspectives of a Medical Doctor. 25(5). 356–361. 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.

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