Denis Friboulet

2.7k total citations
82 papers, 1.6k citations indexed

About

Denis Friboulet is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Denis Friboulet has authored 82 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Radiology, Nuclear Medicine and Imaging, 40 papers in Biomedical Engineering and 27 papers in Computer Vision and Pattern Recognition. Recurrent topics in Denis Friboulet's work include Ultrasound Imaging and Elastography (47 papers), Photoacoustic and Ultrasonic Imaging (25 papers) and Medical Image Segmentation Techniques (23 papers). Denis Friboulet is often cited by papers focused on Ultrasound Imaging and Elastography (47 papers), Photoacoustic and Ultrasonic Imaging (25 papers) and Medical Image Segmentation Techniques (23 papers). Denis Friboulet collaborates with scholars based in France, Belgium and Switzerland. Denis Friboulet's co-authors include Olivier Bernard, Hervé Liebgott, Jan D’hooge, Daniel Barbosa, Isabelle E. Magnin, R. Prost, Thomas Dietenbeck, Damien Garcia, Martino Alessandrini and P. Thévenaz and has published in prestigious journals such as IEEE Transactions on Image Processing, The Journal of the Acoustical Society of America and IEEE Transactions on Medical Imaging.

In The Last Decade

Denis Friboulet

79 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Denis Friboulet France 24 981 666 548 332 279 82 1.6k
Denis Kouamé France 19 433 0.4× 546 0.8× 315 0.6× 82 0.2× 251 0.9× 109 1.2k
Md. Kamrul Hasan Bangladesh 21 327 0.3× 496 0.7× 351 0.6× 274 0.8× 59 0.2× 104 1.4k
Hervé Liebgott France 31 1.7k 1.7× 1.4k 2.1× 275 0.5× 323 1.0× 742 2.7× 140 2.4k
Isabelle E. Magnin France 24 985 1.0× 424 0.6× 692 1.3× 478 1.4× 56 0.2× 124 1.8k
John M. Sandrik United States 6 961 1.0× 678 1.0× 450 0.8× 77 0.2× 441 1.6× 8 1.4k
Hanguang Xiao China 17 205 0.2× 245 0.4× 183 0.3× 290 0.9× 103 0.4× 75 972
Zhuhuang Zhou China 25 640 0.7× 609 0.9× 222 0.4× 310 0.9× 121 0.4× 92 1.5k
Yijun Huang United States 8 508 0.5× 402 0.6× 81 0.1× 82 0.2× 215 0.8× 23 870
Chien‐Cheng Chang Taiwan 20 434 0.4× 393 0.6× 95 0.2× 53 0.2× 129 0.5× 48 1.1k
Hang Gao China 14 334 0.3× 193 0.3× 170 0.3× 237 0.7× 136 0.5× 46 754

Countries citing papers authored by Denis Friboulet

Since Specialization
Citations

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

Fields of papers citing papers by Denis Friboulet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Denis Friboulet

This figure shows the co-authorship network connecting the top 25 collaborators of Denis Friboulet. A scholar is included among the top collaborators of Denis Friboulet 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 Denis Friboulet. Denis Friboulet 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.
Friboulet, Denis, François Varray, Jonathan Porée, et al.. (2024). Boosting Cardiac Color Doppler Frame Rates With Deep Learning. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 71(11). 1540–1551. 3 indexed citations
2.
Millioz, Fabien, François Varray, Jonathan Porée, et al.. (2023). Ultrafast Cardiac Imaging Using Deep Learning for Speckle-Tracking Echocardiography. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 70(12). 1761–1772. 8 indexed citations
3.
Millioz, Fabien, et al.. (2021). Complex Convolutional Neural Networks for Ultrafast Ultrasound Imaging Reconstruction From In-Phase/Quadrature Signal. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 69(2). 592–603. 31 indexed citations
4.
Millioz, Fabien, et al.. (2020). Complex Convolutional Neural Networks for Fast Diverging Wave Imaging. HAL (Le Centre pour la Communication Scientifique Directe). 1–3. 7 indexed citations
5.
Millioz, Fabien, et al.. (2020). Reconstruction for Diverging-Wave Imaging Using Deep Convolutional Neural Networks. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 67(12). 2481–2492. 23 indexed citations
6.
Friboulet, Denis, et al.. (2020). Cycle GAN-Based Data Augmentation For Multi-Organ Detection In CT Images Via Yolo. HAL (Le Centre pour la Communication Scientifique Directe). 390–393. 42 indexed citations
7.
Garcia, Damien, et al.. (2019). Comparison Between Multiline Transmission and Diverging Wave Imaging: Assessment of Image Quality and Motion Estimation Accuracy. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 66(10). 1560–1572. 5 indexed citations
8.
Gasse, Maxime, Fabien Millioz, Emmanuel Roux, et al.. (2017). High-Quality Plane Wave Compounding Using Convolutional Neural Networks. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 64(10). 1637–1639. 93 indexed citations
9.
Besson, Adrien, François Varray, Hervé Liebgott, et al.. (2016). A Sparse Reconstruction Framework for Fourier-Based Plane-Wave Imaging. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 63(12). 2092–2106. 35 indexed citations
10.
Liebgott, Hervé, et al.. (2015). Compressed Sensing Reconstruction of 3D Ultrasound Data Using Dictionary Learning and Line-Wise Subsampling. IEEE Transactions on Medical Imaging. 34(12). 2467–2477. 59 indexed citations
11.
Liebgott, Hervé, et al.. (2014). Compressed sensing reconstruction of 3D ultrasound data using dictionary learning. HAL (Le Centre pour la Communication Scientifique Directe). 54. 1317–1321. 6 indexed citations
12.
Friboulet, Denis, et al.. (2013). Blood Velocity Estimation Using Compressive Sensing. IEEE Transactions on Medical Imaging. 32(11). 1979–1988. 14 indexed citations
13.
Barbosa, Daniel, Brecht Heyde, Maja Čikeš, et al.. (2013). Real-time 3D interactive segmentation of echocardiographic data through user-based deformation of B-spline explicit active surfaces. Computerized Medical Imaging and Graphics. 38(1). 57–67. 15 indexed citations
14.
Barbosa, Daniel, Olivier Bernard, Thomas Dietenbeck, et al.. (2012). B-spline explicit active tracking of surfaces (BEATS): Application to real-time 3D segmentation and tracking of the left ventricle in 3D echocardiography. 224–227. 3 indexed citations
15.
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
16.
Liebgott, Hervé, Adrian Basarab, Denis Kouamé, Olivier Bernard, & Denis Friboulet. (2012). Compressive sensing in medical ultrasound. HAL (Le Centre pour la Communication Scientifique Directe). 1–6. 41 indexed citations
17.
Barbosa, Daniel, Thomas Dietenbeck, Joël Schaerer, et al.. (2011). B-Spline Explicit Active Surfaces: An Efficient Framework for Real-Time 3-D Region-Based Segmentation. IEEE Transactions on Image Processing. 21(1). 241–251. 86 indexed citations
18.
Friboulet, Denis, Hervé Liebgott, & R. Prost. (2010). Compressive sensing for raw RF signals reconstruction in ultrasound. HAL (Le Centre pour la Communication Scientifique Directe). 367–370. 28 indexed citations
19.
Barbosa, Daniel, Olivier Bernard, Oana Savu, et al.. (2010). Coupled B-spline active geometric functions for myocardial segmentation: A localized region-based approach. Lirias (KU Leuven). 18. 1648–1651. 4 indexed citations
20.
Liebgott, Hervé, Olivier Bernard, C. Cachard, & Denis Friboulet. (2007). P5C-3 Field Simulation Parameters Design for Realistic Statistical Parameters of Radio - Frequency Ultrasound Images. Proceedings/Proceedings - IEEE Ultrasonics Symposium. 34. 2247–2250. 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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