1 citations · 1 across the 2 of their papers we have counts for
3 papers
Extracting Different Levels of Speech Information from EEG Using an LSTM-Based Model
Mohammad Jalilpour Monesi, Bernd Accou, Tom Francart +1
Decoding the speech signal that a person is listening to from the human brain via electroencephalography (EEG) can help us understand how our auditory system works. Linear models h…
An LSTM Based Architecture to Relate Speech Stimulus to EEG
Mohammad Jalilpour Monesi, Bernd Accou, Jair Montoya-Martinez +2
Modeling the relationship between natural speech and a recorded electroencephalogram (EEG) helps us understand how the brain processes speech and has various applications in neuros…
Segmentation and Classification of Cine-MR Images Using Fully Convolutional Networks and Handcrafted Features
M. Hossein Eybposh, Mohammad Haghir Ebrahim-Abadi, Mohammad Jalilpour-Monesi +1
Three-dimensional cine-MRI is of crucial importance for assessing the cardiac function. Features that describe the anatomy and function of cardiac structures (e.g. Left Ventricle (…