Hélène Langet

835 total citations · 1 hit paper
23 papers, 511 citations indexed

About

Hélène Langet is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Hélène Langet has authored 23 papers receiving a total of 511 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cardiology and Cardiovascular Medicine, 15 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Artificial Intelligence. Recurrent topics in Hélène Langet's work include Cardiovascular Function and Risk Factors (13 papers), Advanced MRI Techniques and Applications (12 papers) and Cardiac Imaging and Diagnostics (10 papers). Hélène Langet is often cited by papers focused on Cardiovascular Function and Risk Factors (13 papers), Advanced MRI Techniques and Applications (12 papers) and Cardiac Imaging and Diagnostics (10 papers). Hélène Langet collaborates with scholars based in France, Belgium and Spain. Hélène Langet's co-authors include Bernhard Gerber, Mihaela Amzulescu, Mathieu De Craene, Jean‐Louis Vanoverschelde, Anne–Catherine Pouleur, David Vancraeynest, Agnès Pasquet, Éric Saloux, Andrew P. King and Esther Puyol‐Antón and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Biomedical Engineering and Medical Physics.

In The Last Decade

Hélène Langet

22 papers receiving 505 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Myocardial strain imaging: review of general principles, validation, and sources of discrepancies

2019 298 citations Mihaela Amzulescu, Mathieu De Craene et al. European Heart Journal - Cardiovascular Imaging profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hélène Langet France	10	385	333	60	48	44	23	511
Ibolya Csécs United States	16	254 0.7×	164 0.5×	66 1.1×	34 0.7×	25 0.6×	31	422
V.G.M. Buller Netherlands	5	225 0.6×	241 0.7×	35 0.6×	50 1.0×	29 0.7×	6	335
Konrad Werys United Kingdom	12	242 0.6×	197 0.6×	30 0.5×	27 0.6×	31 0.7×	29	349
John Stirrat Canada	14	506 1.3×	329 1.0×	26 0.4×	104 2.2×	38 0.9×	28	646
Cian M. Scannell United Kingdom	11	234 0.6×	454 1.4×	87 1.4×	132 2.8×	14 0.3×	31	539
Rūta Jasaitytė Belgium	12	508 1.3×	368 1.1×	141 2.4×	100 2.1×	93 2.1×	37	744
A Travaglini United States	9	530 1.4×	258 0.8×	99 1.6×	118 2.5×	84 1.9×	16	636
Hossam El‐Rewaidy United States	13	272 0.7×	477 1.4×	172 2.9×	43 0.9×	23 0.5×	26	617
Hein W. M. Kayser Netherlands	10	367 1.0×	296 0.9×	28 0.5×	48 1.0×	20 0.5×	14	517
Michael V. Orlov United States	18	867 2.3×	170 0.5×	51 0.8×	93 1.9×	38 0.9×	72	1.0k

Countries citing papers authored by Hélène Langet

Since Specialization

Citations

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

Fields of papers citing papers by Hélène Langet

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hélène Langet

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Langet, Hélène, et al.. (2021). Decision Tree Learning for Uncertain Clinical Measurements. Lirias (KU Leuven). 4 indexed citations

Langet, Hélène, Damien Legallois, Mathieu De Craene, et al.. (2021). Volumetric parcellation of the cardiac right ventricle for regional geometric and functional assessment. Medical Image Analysis. 71. 102044–102044. 6 indexed citations

Panovský, Roman, Mihaela Amzulescu, Hélène Langet, et al.. (2021). Multivendor comparison of global and regional 2D cardiovascular magnetic resonance feature tracking strains vs tissue tagging at 3T. Journal of Cardiovascular Magnetic Resonance. 23(1). 54–54. 13 indexed citations

Legallois, Damien, Patrick Gendron, Hélène Langet, et al.. (2021). Right Ventricular Global and Regional Remodeling in American-Style Football Athletes: A Longitudinal 3D Echocardiographic Study. Applied Sciences. 11(8). 3357–3357. 2 indexed citations

Bonnefous, Odile, Hélène Langet, Anne–Catherine Pouleur, et al.. (2020). Validation of Semiautomated Quantification of Mitral Valve Regurgitation by Three-Dimensional Color Doppler Transesophageal Echocardiography. Journal of the American Society of Echocardiography. 33(3). 342–354. 16 indexed citations

Bonnefous, Odile, Hélène Langet, François Tournoux, et al.. (2020). Analysis of inter-system variability of systolic and diastolic intraventricular pressure gradients derived from color Doppler M-mode echocardiography. Scientific Reports. 10(1). 7180–7180. 5 indexed citations

Craene, Mathieu De, et al.. (2020). Learning decision trees through Monte Carlo tree search: An empirical evaluation. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 10(3). 6 indexed citations

Langet, Hélène, Mathieu De Craene, Alexandre Popoff, et al.. (2020). 541 Turning novices into experts: can artificial intelligence transform echocardiography training?. European Heart Journal - Cardiovascular Imaging. 21(Supplement_1). 3 indexed citations

Popoff, Alexandre, Hélène Langet, Catherine Ropert, et al.. (2020). 154 Can we improve the accuracy and reproducibility of left ventricular ejection fraction from 2D echocardiography using artificial intelligence? A validation against cardiac magnetic resonance. European Heart Journal - Cardiovascular Imaging. 21(Supplement_1). 1 indexed citations

10.

Amzulescu, Mihaela, Mathieu De Craene, Hélène Langet, et al.. (2019). Myocardial strain imaging: review of general principles, validation, and sources of discrepancies. European Heart Journal - Cardiovascular Imaging. 20(6). 605–619. 298 indexed citations breakdown →

11.

Amzulescu, Mihaela, Hélène Langet, Éric Saloux, et al.. (2018). Improvements of Myocardial Deformation Assessment by Three-Dimensional Speckle-Tracking versus Two-Dimensional Speckle-Tracking Revealed by Cardiac Magnetic Resonance Tagging. Journal of the American Society of Echocardiography. 31(9). 1021–1033.e1. 10 indexed citations

12.

Puyol‐Antón, Esther, Bram Ruijsink, Wenjia Bai, et al.. (2018). Fully automated myocardial strain estimation from cine MRI using convolutional neural networks. Research Portal (King's College London). 1139–1143. 13 indexed citations

13.

Craene, Mathieu De, et al.. (2018). A Monte Carlo Tree Search Approach to Learning Decision Trees. Repositori digital de la UPF (Universitat Pompeu Fabra). 429–435. 2 indexed citations

14.

Puyol‐Antón, Esther, Bram Ruijsink, Bernhard Gerber, et al.. (2018). Regional Multi-View Learning for Cardiac Motion Analysis: Application to Identification of Dilated Cardiomyopathy Patients. IEEE Transactions on Biomedical Engineering. 66(4). 956–966. 21 indexed citations

15.

Puyol‐Antón, Esther, Matthew Sinclair, Bernhard Gerber, et al.. (2017). A multimodal spatiotemporal cardiac motion atlas from MR and ultrasound data. Medical Image Analysis. 40. 96–110. 16 indexed citations

16.

Langet, Hélène, et al.. (2017). Handcrafted features vs ConvNets in 2D echocardiographic images. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 1116–1119. 10 indexed citations

17.

Langet, Hélène, et al.. (2015). Compressed‐sensing‐based content‐driven hierarchical reconstruction: Theory and application to C‐arm cone‐beam tomography. Medical Physics. 42(9). 5222–5237. 7 indexed citations

18.

Langet, Hélène, et al.. (2012). Compressed Sensing Dynamic Reconstruction in Rotational Angiography. Lecture notes in computer science. 15(Pt 1). 223–230. 5 indexed citations

19.

Langet, Hélène, et al.. (2011). Compressed Sensing Based 3D Tomographic Reconstruction for Rotational Angiography. Lecture notes in computer science. 14(Pt 1). 97–104. 9 indexed citations

20.

Puentes, John, Hélène Langet, Christophe L. Herry, & Monique Frize. (2011). Segmentation of knee injury swelling on infrared images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7963. 79633L–79633L. 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.

Explore authors with similar magnitude of impact