17 citations · 17 across the 4 of their papers we have counts for
4 papers
MICAL: Mutual Information-Based CNN-Aided Learned Factor Graphs for Seizure Detection from EEG Signals
Bahareh Salafian, Eyal Fishel Ben-Knaan, Nir Shlezinger +2
We develop a hybrid model-based data-driven seizure detection algorithm called Mutual Information-based CNNAided Learned factor graphs (MICAL) for detection of eclectic seizures fr…
CNN-Aided Factor Graphs with Estimated Mutual Information Features for Seizure Detection
Bahareh Salafian, Eyal Fishel Ben-Knaan, Nir Shlezinger +2
We propose a convolutional neural network (CNN) aided factor graphs assisted by mutual information features estimated by a neural network for seizure detection. Specifically, we us…
Efficient Epileptic Seizure Detection Using CNN-Aided Factor Graphs
Bahareh Salafian, Eyal Fishel Ben, Nir Shlezinger +2
We propose a computationally efficient algorithm for seizure detection. Instead of using a purely data-driven approach, we develop a hybrid model-based/data-driven method, combinin…
Automatic Segmentation of Choroid Layer in EDI OCT Images Using Graph Theory in Neutrosophic Space
Bahareh Salafian, Rahele Kafieh, Abdolreza Rashno +2
The choroid is vascular tissue located underneath the retina and supplies oxygen to the outer retina; any damage to this tissue can be a precursor to retinal disease. Choroid is al…