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Mahdi Tabassian
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2020 – today
- 2024
- [i1]Mahdi Tabassian, Somayeh Akbari, Sandro F. Queirós, Jan D'hooge:
Deep Spatiotemporal Clutter Filtering of Transthoracic Echocardiographic Images Using a 3D Convolutional Auto-Encoder. CoRR abs/2401.13147 (2024) - 2022
- [c7]Fabian Fingerhut, Chaitra Harsha, Amirmohammad Eghbalian, Tom Jacobs, Mahdi Tabassian, Robbert Verbeke, Elena Tsiporkova:
Data-Driven Usage Profiling and Anomaly Detection in Support of Sustainable Machining Processes. ICDM (Workshops) 2022: 127-136 - 2021
- [j6]Monire Sheikh Hosseini, Mohammad Hassan Moradi, Mahdi Tabassian, Jan D'hooge:
Non-rigid image registration using a modified fuzzy feature-based inference system for 3D cardiac motion estimation. Comput. Methods Programs Biomed. 205: 106085 (2021) - [c6]Mahdi Tabassian, Robbert Verbeke, Tom Tourwé, Elena Tsiporkova:
Data-Driven Divide-and-Conquer for Estimating Build Times of 3D Objects. ICDM (Workshops) 2021: 268-277
2010 – 2019
- 2018
- [j5]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:
Statistical Shape Modeling of the Left Ventricle: Myocardial Infarct Classification Challenge. IEEE J. Biomed. Health Informatics 22(2): 503-515 (2018) - 2016
- [b1]Mahdi Tabassian:
Developing Ultrasound-Based Computer-Aided Diagnostic Systems Through Statistical Pattern Recognition. University of Bologna, Italy, 2016 - 2015
- [c5]Mahdi Tabassian, Martino Alessandrini, Luca De Marchi, Guido Masetti, Nicholas Cauwenberghs, Tatiana Kouznetsova, Jan D'hooge:
Principal Component Analysis for the Classification of Cardiac Motion Abnormalities Based on Echocardiographic Strain and Strain Rate Imaging. FIMH 2015: 83-90 - [c4]Mahdi Tabassian, Martino Alessandrini, Peter Claes, Luca De Marchi, Dirk Vandermeulen, Guido Masetti, Jan D'hooge:
Automatic Detection of Myocardial Infarction Through a Global Shape Feature Based on Local Statistical Modeling. STACOM@MICCAI 2015: 208-216 - 2014
- [c3]Mahdi Tabassian, Nicola Testoni, Luca De Marchi, Francesca Galluzzo, Nicolò Speciale, Guido Masetti:
Learning Features from Medical Radiofrequency Ultrasonic Signals by Independent Component Analysis. CBMS 2014: 62-65 - 2012
- [j4]Mahdi Tabassian, Reza Ghaderi, Reza Ebrahimpour:
Combination of multiple diverse classifiers using belief functions for handling data with imperfect labels. Expert Syst. Appl. 39(2): 1698-1707 (2012) - [j3]Mahdi Tabassian, Reza Ghaderi, Reza Ebrahimpour:
Combining complementary information sources in the Dempster-Shafer framework for solving classification problems with imperfect labels. Knowl. Based Syst. 27: 92-102 (2012) - 2011
- [j2]Mahdi Tabassian, Reza Ghaderi, Reza Ebrahimpour:
Knitted fabric defect classification for uncertain labels based on Dempster-Shafer theory of evidence. Expert Syst. Appl. 38(5): 5259-5267 (2011) - 2010
- [j1]Mahdi Tabassian, Reza Ghaderi, Reza Ebrahimpour:
Subspace Ensembles for Face Recognition. Aust. J. Intell. Inf. Process. Syst. 12(3) (2010) - [c2]Saeed Masoudnia, Mohammad Rostami, Mahdi Tabassian, Atena Sajedin, Reza Ebrahimpour:
Evidence-based mixture of MLP-experts. IJCNN 2010: 1-7 - [c1]Mahdi Tabassian, Reza Ghaderi, Reza Ebrahimpour:
Combining Neural Networks Based on Dempster-Shafer Theory for Classifying Data with Imperfect Labels. MICAI (2) 2010: 233-244
Coauthor Index
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last updated on 2024-10-07 21:17 CEST by the dblp team
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