Items where Author is "Yasin, M.A.M."
Article
Mumtaz, W. and Ali, S.S.A. and Yasin, M.A.M. and Malik, A.S. (2018) A machine learning framework involving EEG-based functional connectivity to diagnose major depressive disorder (MDD). Medical and Biological Engineering and Computing, 56 (2). pp. 233-246. ISSN 01400118
Mumtaz, W. and Xia, L. and Ali, S.S.A. and Yasin, M.A.M. and Hussain, M. and Malik, A.S. (2017) Electroencephalogram (EEG)-based computer-aided technique to diagnose major depressive disorder (MDD). Biomedical Signal Processing and Control, 31. pp. 108-115. ISSN 17468094
Mumtaz, W. and Xia, L. and Yasin, M.A.M. and Ali, S.S.A. and Malik, A.S. (2017) A wavelet-based technique to predict treatment outcome for Major Depressive Disorder. PLoS ONE, 12 (2). ISSN 19326203
Mumtaz, W. and Malik, A.S. and Yasin, M.A.M. and Xia, L. (2015) Review on EEG and ERP predictive biomarkers for major depressive disorder. Biomedical Signal Processing and Control, 22. pp. 85-98. ISSN 17468094
Mumtaz, W. and Malik, A.S. and Ali, S.S.A. and Yasin, M.A.M. (2015) A study to investigate different EEG reference choices in diagnosing major depressive disorder. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 9492. pp. 77-86. ISSN 03029743
Mumtaz, W. and Xia, L. and Malik, A.S. and Yasin, M.A.M. (2012) Complexity analysis of EEG data during rest state and visual stimulus. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7663 L (PART 1). pp. 84-91. ISSN 03029743
Conference or Workshop Item
Mumtaz, W. and Malik, A.S. and Ali, S.S.A. and Yasin, M.A.M. (2016) P300 intensities and latencies for major depressive disorder detection. In: UNSPECIFIED.
Mumtaz, W. and Malik, A.S. and Ali, S.S.A. and Yasin, M.A.M. and Amin, H. (2015) Detrended fluctuation analysis for major depressive disorder. In: UNSPECIFIED.
Mumtaz, W. and Xia, L. and Malik, A.S. and Yasin, M.A.M. (2012) Functional models of neural circuits for pathophysiology of major depressive disorder. In: UNSPECIFIED.