Evidence-based mixture of MLP-experts. - Saeed Masoudnia; Mohammad Rostami; Mahdi Tabassian; Atena Sajedin; Reza Ebrahimpour (IJCNN, 2010)

Combining Neural Networks Based on Dempster-Shafer Theory for Classifying Data with Imperfect Labels. - Mahdi Tabassian; Reza Ghaderi; Reza Ebrahimpour (MICAI (2), 2010)

Subspace Ensembles for Face Recognition. - Mahdi Tabassian; Reza Ghaderi; Reza Ebrahimpour (Aust. J. Intell. Inf. Process. Syst., 2010)

Knitted fabric defect classification for uncertain labels based on Dempster-Shafer theory of evidence. - Mahdi Tabassian; Reza Ghaderi; Reza Ebrahimpour (Expert Syst. Appl., 2011)

Combination of multiple diverse classifiers using belief functions for handling data with imperfect labels. - Mahdi Tabassian; Reza Ghaderi; Reza Ebrahimpour (Expert Syst. Appl., 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)

Learning Features from Medical Radiofrequency Ultrasonic Signals by Independent Component Analysis. - Mahdi Tabassian; Nicola Testoni; Luca De Marchi; Francesca Galluzzo; Nicolò Speciale; Guido Masetti (CBMS, 2014)

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 (FIMH, 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 (STACOM@MICCAI, 2015)

Developing Ultrasound-Based Computer-Aided Diagnostic Systems Through Statistical Pattern Recognition. - Mahdi Tabassian (2016)

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; et al. (IEEE J. Biomed. Health Informatics, 2018)

Data-Driven Divide-and-Conquer for Estimating Build Times of 3D Objects. - Mahdi Tabassian; Robbert Verbeke; Tom Tourwé; Elena Tsiporkova (ICDM (Workshops), 2021)

Non-rigid image registration using a modified fuzzy feature-based inference system for 3D cardiac motion estimation. - Monire Sheikh Hosseini; Mohammad Hassan Moradi 001; Mahdi Tabassian; Jan D'hooge (Comput. Methods Programs Biomed., 2021)

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 (ICDM (Workshops), 2022)

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)