Brecht Heyde

1.5k total citations
57 papers, 910 citations indexed

About

Brecht Heyde is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine and Biomedical Engineering. According to data from OpenAlex, Brecht Heyde has authored 57 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Radiology, Nuclear Medicine and Imaging, 44 papers in Cardiology and Cardiovascular Medicine and 10 papers in Biomedical Engineering. Recurrent topics in Brecht Heyde's work include Cardiovascular Function and Risk Factors (32 papers), Cardiac Imaging and Diagnostics (28 papers) and Advanced MRI Techniques and Applications (22 papers). Brecht Heyde is often cited by papers focused on Cardiovascular Function and Risk Factors (32 papers), Cardiac Imaging and Diagnostics (28 papers) and Advanced MRI Techniques and Applications (22 papers). Brecht Heyde collaborates with scholars based in Belgium, France and Norway. Brecht Heyde's co-authors include Jan D’hooge, Rūta Jasaitytė, Daniel Barbosa, Olivier Bernard, Piet Claus, Pedro Morais, Denis Friboulet, Matilda Larsson, Martino Alessandrini and Sandro Queirós and has published in prestigious journals such as IEEE Transactions on Medical Imaging, Physics in Medicine and Biology and Medical Image Analysis.

In The Last Decade

Brecht Heyde

56 papers receiving 893 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brecht Heyde Belgium 16 622 586 216 164 127 57 910
Daniel Barbosa Belgium 18 601 1.0× 557 1.0× 193 0.9× 284 1.7× 125 1.0× 60 1.1k
Yih Miin Liew Malaysia 16 222 0.4× 364 0.6× 318 1.5× 102 0.6× 126 1.0× 52 794
Andreas Østvik Norway 15 431 0.7× 424 0.7× 107 0.5× 91 0.6× 68 0.5× 35 663
Stein Inge Rabben Norway 17 862 1.4× 509 0.9× 234 1.1× 89 0.5× 248 2.0× 33 1.0k
William Kongto Hau Hong Kong 14 157 0.3× 316 0.5× 271 1.3× 110 0.7× 220 1.7× 28 645
Mark E. Olszewski United States 15 266 0.4× 515 0.9× 303 1.4× 207 1.3× 304 2.4× 36 870
J. H. C. Reiber Netherlands 14 539 0.9× 718 1.2× 197 0.9× 53 0.3× 619 4.9× 24 1.1k
Lisan A. Neefjes Netherlands 20 423 0.7× 672 1.1× 211 1.0× 160 1.0× 392 3.1× 31 1.0k
Félix Bourier Germany 20 1.1k 1.7× 129 0.2× 109 0.5× 43 0.3× 117 0.9× 112 1.3k
Mani Vembar United States 18 259 0.4× 1.1k 1.8× 768 3.6× 208 1.3× 195 1.5× 63 1.4k

Countries citing papers authored by Brecht Heyde

Since Specialization
Citations

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

Fields of papers citing papers by Brecht Heyde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brecht Heyde

This figure shows the co-authorship network connecting the top 25 collaborators of Brecht Heyde. A scholar is included among the top collaborators of Brecht Heyde 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 Brecht Heyde. Brecht Heyde 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.
Heyde, Brecht, et al.. (2018). 2-D Myocardial Deformation Imaging Based on RF-Based Nonrigid Image Registration. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 65(6). 1037–1047. 10 indexed citations
2.
Papachristidis, Alexandros, Elena Galli, Marcel L. Geleijnse, et al.. (2017). Standardized Delineation of Endocardial Boundaries in Three-Dimensional Left Ventricular Echocardiograms. Journal of the American Society of Echocardiography. 30(11). 1059–1069. 5 indexed citations
3.
Alessandrini, Martino, Brecht Heyde, Olivier Bernard, et al.. (2017). Realistic Vendor-Specific Synthetic Ultrasound Data for Quality Assurance of 2-D Speckle Tracking Echocardiography: Simulation Pipeline and Open Access Database. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 65(3). 411–422. 32 indexed citations
4.
Philippe, Bruno, et al.. (2017). Patient-specific numerical mitral valve modelling in secondary mitral regurgitation: clinical validity of a promising technique. 1 indexed citations
5.
D’Elia, Nicholas, et al.. (2017). Serial assessment of left ventricular morphology and function in a rodent model of ischemic cardiomyopathy. International journal of cardiac imaging. 34(3). 385–397. 4 indexed citations
6.
Morais, Pedro, et al.. (2017). Fully automatic left ventricular myocardial strain estimation in 2D short-axis tagged magnetic resonance imaging. Physics in Medicine and Biology. 62(17). 6899–6919. 5 indexed citations
7.
Ortega, Alejandra, Jean Provost, Ling Tong, et al.. (2016). A Comparison of the Performance of Different Multiline Transmit Setups for Fast Volumetric Cardiac Ultrasound. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 63(12). 2082–2091. 14 indexed citations
8.
Heyde, Brecht, et al.. (2016). Fast myocardial strain estimation from 3D ultrasound through elastic image registration with analytic regularization. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9790. 979006–979006. 6 indexed citations
9.
Bouchez, Stefaan, et al.. (2016). In-vivo validation of a new clinical tool to quantify three-dimensional myocardial strain using ultrasound. International journal of cardiac imaging. 32(12). 1707–1714. 5 indexed citations
10.
Alessandrini, Martino, Brecht Heyde, Sandro Queirós, et al.. (2016). Detailed Evaluation of Five 3D Speckle Tracking Algorithms Using Synthetic Echocardiographic Recordings. IEEE Transactions on Medical Imaging. 35(8). 1915–1926. 32 indexed citations
11.
Caidahl, Kenneth, et al.. (2014). Ultrasound Speckle Tracking Strain Estimation of in Vivo Carotid Artery Plaque with in Vitro Sonomicrometry Validation. Ultrasound in Medicine & Biology. 41(1). 77–88. 28 indexed citations
12.
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
13.
Dresselaers, Tom, Brecht Heyde, Hon Fai Choi, et al.. (2013). 2-D Strain Assessment in the Mouse Through Spatial Compounding of Myocardial Velocity Data: In Vivo Feasibility. Ultrasound in Medicine & Biology. 39(10). 1848–1860. 2 indexed citations
14.
Craene, Mathieu De, Stéphanie Marchesseau, Brecht Heyde, et al.. (2013). 3D Strain Assessment in Ultrasound (Straus): A Synthetic Comparison of Five Tracking Methodologies. IEEE Transactions on Medical Imaging. 32(9). 1632–1646. 41 indexed citations
15.
Heyde, Brecht, Stefaan Bouchez, Rūta Jasaitytė, et al.. (2013). Elastic Image Registration to Quantify 3-D Regional Myocardial Deformation from Volumetric Ultrasound: Experimental Validation in an Animal Model. Ultrasound in Medicine & Biology. 39(9). 1688–1697. 30 indexed citations
16.
Heyde, Brecht, Daniel Barbosa, Piet Claus, Frederik Maes, & Jan D’hooge. (2012). Three-dimensional cardiac motion estimation based on non-rigid image registration using a novel transformation model adapted to the heart. Lecture notes in computer science. 7746. 142–150. 1 indexed citations
17.
Heyde, Brecht, Rūta Jasaitytė, Daniel Barbosa, et al.. (2012). Elastic Image Registration Versus Speckle Tracking for 2-D Myocardial Motion Estimation: A Direct Comparison In Vivo. IEEE Transactions on Medical Imaging. 32(2). 449–459. 50 indexed citations
18.
Barbosa, Daniel, Brecht Heyde, Thomas Dietenbeck, et al.. (2012). Quantification of left ventricular volume and global function using a fast automated segmentation tool: validation in a clinical setting. International journal of cardiac imaging. 29(2). 309–316. 14 indexed citations
19.
Barbosa, Daniel, Thomas Dietenbeck, Brecht Heyde, et al.. (2012). Fast and Fully Automatic 3-D Echocardiographic Segmentation Using B-Spline Explicit Active Surfaces: Feasibility Study and Validation in a Clinical Setting. Ultrasound in Medicine & Biology. 39(1). 89–101. 42 indexed citations
20.
Jasaitytė, Rūta, Brecht Heyde, Brage H. Amundsen, et al.. (2011). Comparison of a new methodology for the assessment of 3D myocardial strain from volumetric ultrasound with 2D speckle tracking. International journal of cardiac imaging. 28(5). 1049–1060. 29 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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