Dr.Alaa M. Al-Kaysi
Dr.Alaa M. Al-Kaysi
Biomedical Eng. Department-University of Technology, Baghdad-Iraq
Verified email at uotechnology.edu.iq
Cited by
Cited by
Predicting tDCS treatment outcomes of patients with major depressive disorder using automated EEG classification
AM Al-Kaysi, A Al-Ani, CK Loo, TY Powell, DM Martin, M Breakspear, ...
Journal of affective disorders 208, 597-603, 2017
A multichannel deep belief network for the classification of EEG data
AM Al-kaysi, A Al-Ani, TW Boonstra
International Conference on Neural Information Processing, 38-45, 2015
Predicting brain stimulation treatment outcomes of depressed patients through the classification of EEG oscillations
AM Al-Kaysi, A Al-Ani, CK Loo, M Breakspear, TW Boonstra
Engineering in Medicine and Biology Society (EMBC), 2016 IEEE 38th Annual …, 2016
Estimating The Quality of Electroconvulsive Therapy Induced Seizures Using Decision Tree and Fuzzy Inference System Classifiers
AM Al-Kaysi, A Al-Ani, V Gàlvez, KC Loo, S Ling, WT Boonstra
2018 40th Annual International Conference of the IEEE Engineering in …, 2018
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