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International Journal of Neural Systems|August 27, 2014
A predictive modeling approach to analyze data in EEG-fMRI experimentsSaideh Ferdowsi, Saeid Sanei, Vahid Abolghasemi
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|February 21, 2012
Blind separation of image sources via adaptive dictionary learningVahid Abolghasemi, Saideh Ferdowsi, Saeid Sanei
Journal of Neuroscience Methods|August 2, 2015
A new informed tensor factorization approach to EEG-fMRI fusionSaideh Ferdowsi, Vahid Abolghasemi, Saeid Sanei
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
A new spatially constrained NMF with application to fMRISaideh Ferdowsi, Vahid Abolghasemi, Bahador Makkiabadi, et al.
IEEE Transactions on Bio-Medical Engineering|February 6, 2013
Removing ballistocardiogram artifact from EEG using short- and long-term linear predictorSaideh Ferdowsi, Saeid Sanei, Vahid Abolghasemi, et al.
IEEE Transactions on Bio-Medical Engineering|July 11, 2018
Semiblind Spectral Factorization Approach for Magnetic Resonance Spectroscopy QuantificationSaideh Ferdowsi, Vahid Abolghasemi
Medical & Biological Engineering & Computing|August 26, 2017
Simultaneous BOLD detection and incomplete fMRI data reconstructionSaideh Ferdowsi, Vahid Abolghasemi
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|October 6, 2020
Spatio-temporal deep learning for EEG-fNIRS brain computer interfaceHamidreza Ghonchi, Mansoor Fateh, Vahid Abolghasemi, et al.
IEEE Transactions on Bio-Medical Engineering|November 4, 2011
A new adaptive line enhancer based on singular spectrum analysisSaeid Sanei, Tracey K M Lee, Vahid Abolghasemi
Sensors (Basel, Switzerland)|September 27, 2025
Predictive Modelling of Exam Outcomes Using Stress-Aware Learning from Wearable BiosignalsSham Lalwani, Saideh Ferdowsi
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