Frédéric Cervenansky

1.4k total citations
16 papers, 428 citations indexed

About

Frédéric Cervenansky is a scholar working on Radiology, Nuclear Medicine and Imaging, Surgery and Molecular Biology. According to data from OpenAlex, Frédéric Cervenansky has authored 16 papers receiving a total of 428 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Radiology, Nuclear Medicine and Imaging, 2 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Frédéric Cervenansky's work include Radiomics and Machine Learning in Medical Imaging (3 papers), Ultrasound Imaging and Elastography (3 papers) and AI in cancer detection (2 papers). Frédéric Cervenansky is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (3 papers), Ultrasound Imaging and Elastography (3 papers) and AI in cancer detection (2 papers). Frédéric Cervenansky collaborates with scholars based in France, Norway and Canada. Frédéric Cervenansky's co-authors include Olivier Bernard, Hervé Liebgott, Jørgen Arendt Jensen, Alfonso Rodríguez-Molares, Carole Lartizien, Tristan Glatard, Sorina Camarasu-Pop, B. Irthum, J. Chazal and Jean‐Jacques Lemaire and has published in prestigious journals such as NeuroImage, Magnetic Resonance in Medicine and IEEE Transactions on Medical Imaging.

In The Last Decade

Frédéric Cervenansky

16 papers receiving 412 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Frédéric Cervenansky France	8	267	168	111	64	57	16	428
Minshan Jiang China	14	567 2.1×	312 1.9×	109 1.0×	190 3.0×	5 0.1×	28	872
Žiga Špiclin Slovenia	14	259 1.0×	134 0.8×	9 0.1×	298 4.7×	22 0.4×	53	714
Huailing Zhang China	10	207 0.8×	308 1.8×	10 0.1×	28 0.4×	87 1.5×	23	460
Alessandro Crimi Switzerland	13	234 0.9×	106 0.6×	11 0.1×	196 3.1×	20 0.4×	48	623
Ewout Vansteenkiste Belgium	11	179 0.7×	76 0.5×	13 0.1×	216 3.4×	23 0.4×	53	499
Abdollah Saberi Iran	11	184 0.7×	132 0.8×	10 0.1×	12 0.2×	9 0.2×	24	415
Haoran Dou China	14	242 0.9×	64 0.4×	40 0.4×	160 2.5×	12 0.2×	31	513
Nawrès Khlifa Tunisia	12	262 1.0×	58 0.3×	6 0.1×	112 1.8×	17 0.3×	60	524
Tim Jerman Slovenia	6	157 0.6×	65 0.4×	5 0.0×	100 1.6×	17 0.3×	11	309
Tassilo Klein Germany	12	214 0.8×	125 0.7×	14 0.1×	269 4.2×	5 0.1×	28	632

Countries citing papers authored by Frédéric Cervenansky

Since Specialization

Citations

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

Fields of papers citing papers by Frédéric Cervenansky

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frédéric Cervenansky

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

All Works

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16 of 16 papers shown

Leporq, Benjamin, Amine Bouhamama, H. Ratiney, et al.. (2024). Development of a Secure Web-Based Medical Imaging Analysis Platform: The AWESOMME Project. Journal of Imaging Informatics in Medicine. 37(5). 2612–2626. 1 indexed citations

Commowick, Olivier, Benoît Combès, Frédéric Cervenansky, & Michel Dojat. (2023). Automatic methods for multiple sclerosis new lesions detection and segmentation. Frontiers research topics. 2 indexed citations

Commowick, Olivier, Michaël Kain, Romain Casey, et al.. (2021). Multiple sclerosis lesions segmentation from multiple experts: The MICCAI 2016 challenge dataset. NeuroImage. 244. 118589–118589. 50 indexed citations

Cervenansky, Frédéric, Olivier Commowick, François Cotton, Michel Dojat, & Gilles Edan. (2021). Multiple sclerosis new lesions segmentation challenge. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

Leclerc, Sarah, Erik Smistad, Andreas Østvik, et al.. (2020). LU-Net: A Multistage Attention Network to Improve the Robustness of Segmentation of Left Ventricular Structures in 2-D Echocardiography. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 67(12). 2519–2530. 38 indexed citations

Leclerc, Sarah, Pierre‐Marc Jodoin, Lasse Løvstakken, et al.. (2019). RU-Net: A refining segmentation network for 2D echocardiography. HAL (Le Centre pour la Communication Scientifique Directe). 1160–1163. 18 indexed citations

Jensen, Jørgen Arendt, Hervé Liebgott, Frédéric Cervenansky, & Carlos Armando Villagómez Hoyos. (2018). SA-VFI: the IEEE IUS Challenge on Synthetic Aperture Vector Flow Imaging. 4. 1–5. 5 indexed citations

Liebgott, Hervé, Alfonso Rodríguez-Molares, Frédéric Cervenansky, Jørgen Arendt Jensen, & Olivier Bernard. (2016). Plane-Wave Imaging Challenge in Medical Ultrasound. 1–4. 161 indexed citations

Frindel, Carole, et al.. (2016). Robustness of spatio‐temporal regularization in perfusion MRI deconvolution: An application to acute ischemic stroke. Magnetic Resonance in Medicine. 78(5). 1981–1990. 6 indexed citations

10.

Gibaud, Bernard, Germain Forestier, Hugues Benoit-Cattin, et al.. (2014). OntoVIP: An ontology for the annotation of object models used for medical image simulation. Journal of Biomedical Informatics. 52. 279–292. 20 indexed citations

11.

Glatard, Tristan, Carole Lartizien, Bernard Gibaud, et al.. (2012). A Virtual Imaging Platform for Multi-Modality Medical Image Simulation. IEEE Transactions on Medical Imaging. 32(1). 110–118. 65 indexed citations

12.

Cervenansky, Frédéric, et al.. (2010). 3D Ultrasound real-time monitoring of surgical tools. Cvut DSpace (Czech Technical University). 2360–2363. 3 indexed citations

13.

Cooper, Jonathan, Frédéric Cervenansky, Gianni De Fabritiis, et al.. (2010). The Virtual Physiological Human T ool K it. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 368(1925). 3925–3936. 11 indexed citations

14.

Cervenansky, Frédéric, Christian Dualé, J. E. Bazin, et al.. (2005). Modifications of spontaneous cerebral blood flow oscillations during cardiopulmonary bypass. Acta neurochirurgica. Supplementum. 95. 337–339. 3 indexed citations

15.

Lemaire, Jean‐Jacques, T. Khalil, Frédéric Cervenansky, et al.. (2002). Slow pressure waves in the cranial enclosure.. Acta Neurochirurgica. 144(3). 243–254. 39 indexed citations

16.

Lemaire, Jean‐Jacques, et al.. (2002). Slow pressure waves in the cranial enclosure. 5 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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