Mahdi Tabassian

648 total citations
20 papers, 232 citations indexed

About

Mahdi Tabassian 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, Mahdi Tabassian has authored 20 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 9 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Mahdi Tabassian's work include Cardiovascular Function and Risk Factors (8 papers), Cardiac Imaging and Diagnostics (7 papers) and Cardiac Valve Diseases and Treatments (4 papers). Mahdi Tabassian is often cited by papers focused on Cardiovascular Function and Risk Factors (8 papers), Cardiac Imaging and Diagnostics (7 papers) and Cardiac Valve Diseases and Treatments (4 papers). Mahdi Tabassian collaborates with scholars based in Belgium, Iran and Italy. Mahdi Tabassian's co-authors include Reza Ghaderi, Reza Ebrahimpour, Jan D’hooge, Paolo Marino, Alan G. Fraser, Sergio Sanchez‐Martinez, Anna Degiovanni, Tamás Erdei, G. Masetti and Martino Alessandrini and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Knowledge-Based Systems.

In The Last Decade

Mahdi Tabassian

18 papers receiving 226 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mahdi Tabassian Belgium 8 102 75 42 35 26 20 232
Michel Salomon France 10 31 0.3× 76 1.0× 62 1.5× 57 1.6× 45 1.7× 41 305
N. Santhiyakumari India 9 65 0.6× 59 0.8× 41 1.0× 106 3.0× 44 1.7× 38 276
Wenming He China 5 22 0.2× 35 0.5× 161 3.8× 35 1.0× 27 1.0× 16 274
Mustafa Elattar Egypt 10 131 1.3× 148 2.0× 117 2.8× 118 3.4× 56 2.2× 34 449
Yunendah Nur Fuadah Indonesia 10 77 0.8× 66 0.9× 91 2.2× 74 2.1× 65 2.5× 36 359
Qing Cao China 8 51 0.5× 116 1.5× 42 1.0× 105 3.0× 66 2.5× 22 310
Takuma Shibahara Japan 8 82 0.8× 20 0.3× 100 2.4× 116 3.3× 10 0.4× 15 357
Sakyajit Bhattacharya India 11 72 0.7× 23 0.3× 108 2.6× 16 0.5× 67 2.6× 25 286

Countries citing papers authored by Mahdi Tabassian

Since Specialization
Citations

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

Fields of papers citing papers by Mahdi Tabassian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahdi Tabassian

This figure shows the co-authorship network connecting the top 25 collaborators of Mahdi Tabassian. A scholar is included among the top collaborators of Mahdi Tabassian 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 Mahdi Tabassian. Mahdi Tabassian 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.
Tabassian, Mahdi, et al.. (2024). BEAS-Net: A Shape-Prior-Based Deep Convolutional Neural Network for Robust Left Ventricular Segmentation in 2-D Echocardiography. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 71(11). 1565–1576.
2.
3.
Melo, Marcelo Dantas Tavares de, José de Arimateia Batista Araújo-Filho, Roberto Kalil Filho, et al.. (2021). A machine learning framework for the evaluation of myocardial rotation in patients with noncompaction cardiomyopathy. PLoS ONE. 16(11). e0260195–e0260195. 1 indexed citations
4.
Moradi, Mohammad Hassan, et al.. (2021). Non-rigid image registration using a modified fuzzy feature-based inference system for 3D cardiac motion estimation. Computer Methods and Programs in Biomedicine. 205. 106085–106085. 3 indexed citations
5.
Tabassian, Mahdi, et al.. (2021). Data-Driven Divide-and-Conquer for Estimating Build Times of 3D Objects. 268–277. 4 indexed citations
6.
Tabassian, Mahdi, Marcelo Dantas Tavares de Melo, César Grupi, et al.. (2020). Biventricular Imaging Markers to Predict Outcomes in Non-Compaction Cardiomyopathy: A Machine Learning Study. ESC Heart Failure. 7(5). 2431–2439. 8 indexed citations
7.
Cauwenberghs, Nicholas, Mahdi Tabassian, Lutgarde Thijs, et al.. (2019). Area of the pressure-strain loop during ejection as non-invasive index of left ventricular performance: a population study. Cardiovascular Ultrasound. 17(1). 15–15. 9 indexed citations
8.
Tabassian, Mahdi, et al.. (2019). Clutter Filtering Using a 3D Deep Convolutional Neural Network. Lirias (KU Leuven). 2114–2117. 8 indexed citations
9.
Cattani, Laura, Wenqi Li, Mahdi Tabassian, et al.. (2019). 3D Convolutional Neural Network for Segmentation of the Urethra in Volumetric Ultrasound of the Pelvic Floor. 1473–1476. 4 indexed citations
10.
Tabassian, Mahdi, Tamás Erdei, Sergio Sanchez‐Martinez, et al.. (2018). Diagnosis of Heart Failure With Preserved Ejection Fraction: Machine Learning of Spatiotemporal Variations in Left Ventricular Deformation. Journal of the American Society of Echocardiography. 31(12). 1272–1284.e9. 76 indexed citations
11.
Tabassian, Mahdi, et al.. (2018). Machine Learning for Quality Assurance of Myocardial Strain Curves. Lirias (KU Leuven). 1–4. 2 indexed citations
12.
Tabassian, Mahdi, Martino Alessandrini, Lieven Herbots, et al.. (2017). Machine learning of the spatio-temporal characteristics of echocardiographic deformation curves for infarct classification. International journal of cardiac imaging. 33(8). 1159–1167. 25 indexed citations
13.
Tabassian, Mahdi, Serkan Ünlü, Oana Mirea, Jens‐Uwe Voigt, & Jan D’hooge. (2017). Notice of Removal: Assessment of myocardial viability using speckle tracking echocardiography at high spatial resolution. 2017 IEEE International Ultrasonics Symposium (IUS). 1–1. 2 indexed citations
14.
Tabassian, Mahdi, Martino Alessandrini, Rūta Jasaitytė, et al.. (2016). Handling missing strain (rate) curves using K-nearest neighbor imputation. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 1–4. 4 indexed citations
15.
Tabassian, Mahdi, Martino Alessandrini, Peter Claes, et al.. (2015). Automatic detection of myocardial infarction through a global shape feature based on local statistical modeling. Lecture notes in computer science. 9534. 208–216. 1 indexed citations
16.
Tabassian, Mahdi, Martino Alessandrini, Lieven Herbots, et al.. (2015). Automatic detection of ischemic myocardium by spatio-temporal analysis of echocardiographic strain and strain rate curves. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 105. 1–4. 4 indexed citations
17.
Tabassian, Mahdi, Reza Ghaderi, & Reza Ebrahimpour. (2011). Combining complementary information sources in the Dempster–Shafer framework for solving classification problems with imperfect labels. Knowledge-Based Systems. 27. 92–102. 28 indexed citations
18.
Tabassian, Mahdi, Reza Ghaderi, & Reza Ebrahimpour. (2011). Combination of multiple diverse classifiers using belief functions for handling data with imperfect labels. Expert Systems with Applications. 39(2). 1698–1707. 19 indexed citations
19.
Tabassian, Mahdi, Reza Ghaderi, & Reza Ebrahimpour. (2010). Knitted fabric defect classification for uncertain labels based on Dempster–Shafer theory of evidence. Expert Systems with Applications. 38(5). 5259–5267. 33 indexed citations
20.
Masoudnia, Saeed, et al.. (2010). Evidence-based mixture of MLP-experts. 1–7. 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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