Thomas Dietenbeck

646 total citations
36 papers, 353 citations indexed

About

Thomas Dietenbeck is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Thomas Dietenbeck has authored 36 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cardiology and Cardiovascular Medicine, 21 papers in Radiology, Nuclear Medicine and Imaging and 14 papers in Computer Vision and Pattern Recognition. Recurrent topics in Thomas Dietenbeck's work include Medical Image Segmentation Techniques (12 papers), Cardiovascular Health and Disease Prevention (10 papers) and Cardiac Valve Diseases and Treatments (9 papers). Thomas Dietenbeck is often cited by papers focused on Medical Image Segmentation Techniques (12 papers), Cardiovascular Health and Disease Prevention (10 papers) and Cardiac Valve Diseases and Treatments (9 papers). Thomas Dietenbeck collaborates with scholars based in France, Belgium and Argentina. Thomas Dietenbeck's co-authors include Olivier Bernard, Denis Friboulet, Jan D’hooge, Daniel Barbosa, Joël Schaerer, Martino Alessandrini, Brecht Heyde, Nadjia Kachenoura, Alain Giron and Alban Redheuil and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Journal of Hypertension.

In The Last Decade

Thomas Dietenbeck

32 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Dietenbeck France	10	208	167	130	77	64	36	353
J. Baruthio France	9	73 0.4×	154 0.9×	136 1.0×	77 1.0×	52 0.8×	24	294
Rosa-María Menchón-Lara Spain	8	149 0.7×	132 0.8×	59 0.5×	123 1.6×	34 0.5×	15	243
Catalina Tobon‐Gomez Spain	14	355 1.7×	259 1.6×	78 0.6×	16 0.2×	97 1.5×	27	538
Dominik Neumann Germany	10	133 0.6×	107 0.6×	50 0.4×	54 0.7×	61 1.0×	18	300
Jean‐Michel Rouet France	6	84 0.4×	81 0.5×	110 0.8×	73 0.9×	76 1.2×	15	262
Hortense A. Kirişli Netherlands	12	146 0.7×	304 1.8×	130 1.0×	55 0.7×	104 1.6×	20	442
Shreya Hegde United Kingdom	6	121 0.6×	167 1.0×	49 0.4×	46 0.6×	91 1.4×	15	293
Kristin McLeod Norway	9	120 0.6×	106 0.6×	78 0.6×	59 0.8×	53 0.8×	17	331
Davis M. Vigneault United States	10	360 1.7×	223 1.3×	42 0.3×	50 0.6×	50 0.8×	21	492
Fernando Vega-Higuera Germany	8	191 0.9×	193 1.2×	75 0.6×	128 1.7×	126 2.0×	16	449

Countries citing papers authored by Thomas Dietenbeck

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Dietenbeck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Dietenbeck

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Dietenbeck. A scholar is included among the top collaborators of Thomas Dietenbeck 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 Thomas Dietenbeck. Thomas Dietenbeck 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

Achard, Catherine, Saud Khan, Alban Redheuil, et al.. (2024). Attention-Based Neural Network for Cardiac MRI Segmentation: Application to Strain and Volume Computation. IRBM. 45(4). 100850–100850. 1 indexed citations

Dietenbeck, Thomas, Gilles Soulat, Alain De Cesare, et al.. (2024). Four-dimensional flow cardiovascular magnetic resonance aortic cross-sectional pressure changes and their associations with flow patterns in health and ascending thoracic aortic aneurysm. Journal of Cardiovascular Magnetic Resonance. 26(1). 101030–101030. 2 indexed citations

Dietenbeck, Thomas, Etienne Charpentier, Alain Giron, et al.. (2023). Value of aortic volumes assessed by automated segmentation of 3D MRI data in patients with thoracic aortic dilatation: A case-control study. Diagnostic and Interventional Imaging. 104(9). 419–426. 2 indexed citations

Dietenbeck, Thomas, Émilie Bollache, Éléonore Blondiaux, et al.. (2023). Associations of aortic stiffness and intra-aortic flow parameters with epicardial adipose tissue in patients with type-2 diabetes. SHILAP Revista de lepidopterología. 4. 1106342–1106342. 1 indexed citations

Kachenoura, Nadjia, et al.. (2023). SFB-net for Cardiac Segmentation: Bridging the Semantic Gap with Attention. arXiv (Cornell University). 1–5.

Dietenbeck, Thomas, et al.. (2021). Abdominal adipose tissue components quantification in MRI as a relevant biomarker of metabolic profile. Magnetic Resonance Imaging. 80. 14–20. 3 indexed citations

Dietenbeck, Thomas, Etienne Charpentier, Alain Giron, et al.. (2021). Quantitative magnetic resonance imaging measures of three‐dimensional aortic morphology in healthy aging and hypertension. Journal of Magnetic Resonance Imaging. 53(5). 1471–1483. 5 indexed citations

Gallo, Antonio, Thomas Dietenbeck, Alain Giron, et al.. (2020). Non-invasive evaluation of retinal vascular remodeling and hypertrophy in humans: intricate effect of ageing, blood pressure and glycaemia. Clinical Research in Cardiology. 110(7). 959–970. 9 indexed citations

Dietenbeck, Thomas, Gilles Soulat, Élie Mousseaux, et al.. (2019). Automated 3D MRI Aortic Morphometry Demonstrates the Added Value of Volumes as Compared to Diameters. Computing in cardiology. 1 indexed citations

10.

Dietenbeck, Thomas, Émilie Bollache, Gilles Soulat, et al.. (2019). Analysis of aortic pressure fields from 4D flow MRI in healthy volunteers: Associations with age and left ventricular remodeling. Journal of Magnetic Resonance Imaging. 50(3). 982–993. 14 indexed citations

11.

Mousseaux, Élie, Alain De Cesare, Thomas Dietenbeck, et al.. (2019). Comparison of different methods for the estimation of aortic pulse wave velocity from 4D flow cardiovascular magnetic resonance. Journal of Cardiovascular Magnetic Resonance. 21(1). 75–75. 30 indexed citations

12.

Dietenbeck, Thomas, Damián Craiem, David Rosenbaum, et al.. (2018). 3D aortic morphology and stiffness in MRI using semi-automated cylindrical active surface provides optimized description of the vascular effects of aging and hypertension. Computers in Biology and Medicine. 103. 101–108. 12 indexed citations

13.

Gallo, Antonio, Xavier Girerd, David Rosenbaum, et al.. (2018). ADAPTIVE OPTICS CAMERA ENABLES TO DESCRIBE DIFFERENT PATTERNS OF RETINAL VASCULATURE IN HYPERTENSION AND TYPE 2 DIABETES. Journal of Hypertension. 36(Supplement 1). e223–e223. 1 indexed citations

14.

Barbosa, Daniel, João Pedrosa, Brecht Heyde, et al.. (2017). heartBEATS: A hybrid energy approach for real-time B-spline explicit active tracking of surfaces. Computerized Medical Imaging and Graphics. 62. 26–33. 3 indexed citations

15.

Dietenbeck, Thomas, Daniel Barbosa, Martino Alessandrini, et al.. (2014). Whole myocardium tracking in 2D-echocardiography in multiple orientations using a motion constrained level-set. Medical Image Analysis. 18(3). 500–514. 14 indexed citations

16.

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

17.

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

18.

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

19.

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

20.

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

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