Mahdi Tabassian

According to our database, Mahdi Tabassian authored at least 15 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Deep Spatiotemporal Clutter Filtering of Transthoracic Echocardiographic Images Using a 3D Convolutional Auto-Encoder.

Mahdi Tabassian, Somayeh Akbari, Sandro F. Queirós, Jan D'hooge

CoRR, 2024

2022

Data-Driven Usage Profiling and Anomaly Detection in Support of Sustainable Machining Processes.

Fabian Fingerhut, Chaitra Harsha, Amirmohammad Eghbalian, Tom Jacobs, Mahdi Tabassian, Robbert Verbeke, Elena Tsiporkova

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2021

Non-rigid image registration using a modified fuzzy feature-based inference system for 3D cardiac motion estimation.

Monire Sheikh Hosseini, Mohammad Hassan Moradi, Mahdi Tabassian, Jan D'hooge

Comput. Methods Programs Biomed., 2021

Data-Driven Divide-and-Conquer for Estimating Build Times of 3D Objects.

Mahdi Tabassian, Robbert Verbeke, Tom Tourwé, Elena Tsiporkova

Proceedings of the 2021 International Conference on Data Mining, 2021

2018

Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge.

Avan Suinesiaputra, Pierre Ablin, Xènia Albà, Martino Alessandrini, Jack Allen, Wenjia Bai, Serkan Çimen, Peter Claes, Brett R. Cowan, Jan D'hooge, Nicolas Duchateau, Jan Ehrhardt, Alejandro F. Frangi, Ali Gooya, Vicente Grau, Karim Lekadir, Allen Lu, Anirban Mukhopadhyay, Ilkay Öksüz, Nripesh Parajuli, Xavier Pennec, Marco Pereañez, Catarina Pinto, Paolo Piras, Marc-Michel Rohé, Daniel Rueckert, Dennis Säring, Maxime Sermesant, Kaleem Siddiqi, Mahdi Tabassian, Luciano Teresi, Sotirios A. Tsaftaris, Matthias Wilms, Alistair A. Young, Xingyu Zhang, Pau Medrano-Gracia

IEEE J. Biomed. Health Informatics, 2018

2016

Developing Ultrasound-Based Computer-Aided Diagnostic Systems Through Statistical Pattern Recognition.

Mahdi Tabassian

PhD thesis, 2016

2015

Automatic Detection of Myocardial Infarction Through a Global Shape Feature Based on Local Statistical Modeling.

Mahdi Tabassian, Martino Alessandrini, Peter Claes, Luca De Marchi, Dirk Vandermeulen, Guido Masetti, Jan D'hooge

Proceedings of the Statistical Atlases and Computational Models of the Heart. Imaging and Modelling Challenges, 2015

Principal Component Analysis for the Classification of Cardiac Motion Abnormalities Based on Echocardiographic Strain and Strain Rate Imaging.

Mahdi Tabassian, Martino Alessandrini, Luca De Marchi, Guido Masetti, Nicholas Cauwenberghs, Tatiana Kouznetsova, Jan D'hooge

Proceedings of the Functional Imaging and Modeling of the Heart, 2015

2014

Learning Features from Medical Radiofrequency Ultrasonic Signals by Independent Component Analysis.

Mahdi Tabassian, Nicola Testoni, Luca De Marchi, Francesca Galluzzo, Nicolò Speciale, Guido Masetti

Proceedings of the 2014 IEEE 27th International Symposium on Computer-Based Medical Systems, 2014

2012

Combining complementary information sources in the Dempster-Shafer framework for solving classification problems with imperfect labels.

Mahdi Tabassian, Reza Ghaderi, Reza Ebrahimpour

Knowl. Based Syst., 2012

Combination of multiple diverse classifiers using belief functions for handling data with imperfect labels.

Mahdi Tabassian, Reza Ghaderi, Reza Ebrahimpour

Expert Syst. Appl., 2012

2011

Knitted fabric defect classification for uncertain labels based on Dempster-Shafer theory of evidence.

Mahdi Tabassian, Reza Ghaderi, Reza Ebrahimpour

Expert Syst. Appl., 2011

2010

Subspace Ensembles for Face Recognition.

Mahdi Tabassian, Reza Ghaderi, Reza Ebrahimpour

Aust. J. Intell. Inf. Process. Syst., 2010

Combining Neural Networks Based on Dempster-Shafer Theory for Classifying Data with Imperfect Labels.

Mahdi Tabassian, Reza Ghaderi, Reza Ebrahimpour

Proceedings of the Advances in Soft Computing, 2010

Evidence-based mixture of MLP-experts.

Saeed Masoudnia, Mohammad Rostami, Mahdi Tabassian, Atena Sajedin, Reza Ebrahimpour

Proceedings of the International Joint Conference on Neural Networks, 2010