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Maryam Ravan

Showing results (11-20 of 17) with videos related to

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IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|January 29, 2021
A Machine Learning Approach Using Effective Connectivity to Predict Response to Clozapine TreatmentClaudio Ciprian, Kirill Masychev, Maryam Ravan, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Diagnosing Suicidal Ideation from Resting State EEG Data Using a Machine Learning AlgorithmMary Margarette Sanchez, Maryam Ravan, Gary Hasey, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|May 17, 2011
A machine learning approach for distinguishing age of infants using auditory evoked potentialsMaryam Ravan, James P Reilly, Laurel J Trainor, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
A machine learning approach using P300 responses to investigate effect of clozapine therapyMaryam Ravan, Duncan MacCrimmon, Gary Hasey, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|September 13, 2014
A machine learning approach using auditory odd-ball responses to investigate the effect of Clozapine therapyMaryam Ravan, Gary Hasey, James P Reilly, et al.
IEEE Transactions on Bio-Medical Engineering|September 22, 2022
A Robust eLORETA Technique for Localization of Brain Sources in the Presence of Forward Model UncertaintiesAmin Noroozi, Maryam Ravan, Babak Razavi, et al.
Journal of Affective Disorders|November 14, 2023
Diagnostic deep learning algorithms that use resting EEG to distinguish major depressive disorder, bipolar disorder, and schizophrenia from each other and from healthy volunteersMaryam Ravan, Amin Noroozi, Mary Margarette Sanchez, et al.
Pageof 2

Showing results (11-20 of 17) with videos related to

Sort By:
Pageof 2
You have reached the last page of results.This site can display upto 17 results.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|January 29, 2021
A Machine Learning Approach Using Effective Connectivity to Predict Response to Clozapine TreatmentClaudio Ciprian, Kirill Masychev, Maryam Ravan, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 5, 2025
Diagnosing Suicidal Ideation from Resting State EEG Data Using a Machine Learning AlgorithmMary Margarette Sanchez, Maryam Ravan, Gary Hasey, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|May 17, 2011
A machine learning approach for distinguishing age of infants using auditory evoked potentialsMaryam Ravan, James P Reilly, Laurel J Trainor, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
A machine learning approach using P300 responses to investigate effect of clozapine therapyMaryam Ravan, Duncan MacCrimmon, Gary Hasey, et al.
Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology|September 13, 2014
A machine learning approach using auditory odd-ball responses to investigate the effect of Clozapine therapyMaryam Ravan, Gary Hasey, James P Reilly, et al.
IEEE Transactions on Bio-Medical Engineering|September 22, 2022
A Robust eLORETA Technique for Localization of Brain Sources in the Presence of Forward Model UncertaintiesAmin Noroozi, Maryam Ravan, Babak Razavi, et al.
Journal of Affective Disorders|November 14, 2023
Diagnostic deep learning algorithms that use resting EEG to distinguish major depressive disorder, bipolar disorder, and schizophrenia from each other and from healthy volunteersMaryam Ravan, Amin Noroozi, Mary Margarette Sanchez, et al.
Pageof 2