ProfessorAlexandros Tzallas

Dr Alexandros Tzallas is currently a Professor in the field of Biomedical Engineering and specifically in the “Analysis and Processing of Biomedical Data” at the Department of Informatics and Telecommunications of the University of Ioannina. He is also affiliated as an Honorary Research Fellow at the Department of Metabolism of Digestion and Reproduction at the Faculty of Medicine of Imperial College London. He has worked on several research and development European and national programs as a software engineer, researcher, technical manager, seminar instructor, and post-doc researcher. He also serves as an Associate Editor of BioMedical Engineering OnLine Journal, Frontiers in Neuroinformatics Journal and Digital Medicine and Health Technology Journal, and Editorial Board member of Engineering, Technology & Applied Science Research Journal and Inventions Journal. His research interests include EEG, wearable devices, biomedical signal and image processing, biomedical engineering, decision support and medical expert systems, and biomedical applications.

Selected Articles
High-Throughput, Machine Learning–Based Quantification of Steatosis, Inflammation, Ballooning, and Fibrosis in Biopsies From Patients With Nonalcoholic Fatty Liver Disease, R. Forlano, B. H. Mullish, N. Giannakeas, J.B. Maurice, N. Angkathunyakul, J. Lloyd, A. T. Tzallas, M. Tsipouras, M. Yee, M.R. Thursz, R.D. Goldin and P. Manousou, Clinical Gastroenterology and Hepatology, Volume: 19(31505-8), Pages: S1542-3565, .
Quantification of Liver Fibrosis—A Comparative Study, A. Arjmand, M.G. Tsipouras, A.T. Tzallas, R. Forlano, P. Manousou and N. Giannakeas, Applied Sciences, Volume: 10(2), Page: 447, 2020, .
A novel classification via clustering algorithm for fibrosis assessment in liver biopsies, D.C. Tsouros, P.N. Smyrlis, M.G. Tsipouras, D.G. Tsalikakis, N. Giannakeas, A.T. Tzallas and P. Manousou, Health and Technology, Volume: 10, Paged: 777-785, 2020, .
Training of Deep Convolutional Neural Networks to Identify Critical Liver Alterations in Histopathology Image Samples, A. Arjmand, C.T. Angelis, V. Christou, A.T. Tzallas, M.G. Tsipouras, E. Glavas, R. Forlano, P. Manousou, N. Giannakeas, Applied Sciences, Volume: 10(1), Page: 42, 2020, .
Utilization of the Allen Gene Expression Atlas to gain further insight into glucocorticoid physiology in the adult mouse brain, K. Kalafatakis, N. Giannakeas, S. Lightman, I. Charalampopoulos, G. Russell, M. Tsipouras and A. Tzallas, Neuroscience Letters, Volume: 706, Pages: 194-200, 2019, .
Sex hormone levels in drug-naïve, first-episode patients with psychosis, P. Petrikis, S. Tigas, A.T. Tzallas, A. Karampas, I. Papadopoulos, International Journal of Psychiatry in Clinical Practice, Volume: 24 (1), Pages: 20-24, 2019, .
Hybrid extreme learning machine approach for heterogeneous neural networks, V. Christou, G. Brown, M.G. Tsipouras, N. Giannakeas and A.T. Tzallas, Neurocomputing, Volume: 361, Pages: 137-150, 2019, .
EEG Window Length Evaluation for the Detection of Alzheimer’s Disease over Different Brain Regions, K.D. Tzimourta, N. Giannakeas, A.T. Tzallas, L.G. Astrakas, T. Afrantou, P. Ioannidis, N. Grigoriadis, P. Angelidis, D.G. Tsalikakis and M.G. Tsipouras, Brain Sciences, Volume: 9($), Page: 81, 2019, .
Analysis of electroencephalographic signals complexity regarding Alzheimer's Disease, K.D. Tzimourta, T. Afrantou, P. Ioannidis, M. Karatzikou, A. Tzallas, N. Giannakeas, L. Astrakas, P. Angelidis, E. Glavas, N. Grigoriadis, D. Tsalikakis and M.G. Tsipouras, Computers and Electrical Engineering Journal, Volume: 76, Pages: 198-212, 2019, .
A robust methodology for classification of epileptic seizures in EEG signals, K.D. Tzimourta, A.T. Tzallas, N. Giannakeas, L.G. Astrakas, D.G. Tsalikakis, P. Angelidis and M.G. Tsipouras, Health and Technology, Volume: 9, Pages: 135-142, 2018, .
Hybrid Extreme Learning Machine Approach for Homogeneous Neural Networks, V. Christou, M.G. Tsipouras, N. Giannakeas and A.T. Tzallas, Neurocomputing, Volume: 311, Pages: 397-412, 2018, .
PERFORM: A System for Monitoring, Assessment and Management of Patients with Parkinson’s Disease, A.T. Tzallas, M.G. Tsipouras, G. Rigas, D.G. Tsalikakis, E.C. Karvounis, M. Chondrogiorgi, F. Psomadellis, J. Cancela, M. Pastorino, M.T. Arredondo-Waldmeyer, S. Konitsiotis and D.I. Fotiadis, Sensors, Volume: 14(11), Pages: 21329-21357, 2014, .
Wearability assessment of a wearable system for Parkinson’s disease remote monitoring based on a body area network of sensors, J. Cancela, M. Pastorino, A.T. Tzallas, M.G. Tsipouras, G. Rigas, M.T. Arredondo and D.I. Fotiadis, Sensors, Volume: 14(9), Pages: 17235-17255, 2014, .
Automatic Detection of Freezing of Gait events in Patients with Parkinson’s Disease, E.E. Tripoliti, A.T. Tzallas, M.G. Tsipouras, G. Rigas, P. Bougia, M. Leontiou, S. Konitsiotis, S. Tsouli and D.I. Fotiadis, Computer Methods and Programs in Biomedicine, Volume: 110(1), Pages: 12-26, 2013, .
An Automated Methodology for Levodopa-Induced Dyskinesia Assessment based on Gyroscope and Accelerometer Signals, M.G. Tsipouras, A.T. Tzallas, G. Rigas, D.I. Fotiadis and S. Konitsiotis, Artificial Intelligence in Medicine, Volume: 55(2), Pages: 127-135, 2012, .
Assessment of Tremor Activity in the Parkinson's disease using a Set of Wearable Sensors, G. Rigas, M.G. Tsipouras, P. Bougia, A.T. Tzallas, E.E. Tripoliti, D. Baga, D.I. Fotiadis, S.G. Tsouli and S. Konitsiotis, IEEE Information Technology in Biomedicine, Volume: 16(3), Pages: 478- 487, 2012, .
Epileptic Seizure Detection in Electroencephalograms using Time-Frequency Analysis, A.T. Tzallas, M.G. Tsipouras and D.I. Fotiadis, IEEE Transactions on Information Technology in Biomedicine, Volume: 13(5), Pages: 703-710, 2009, .
Automatic seizure detection based on time-frequency analysis and artificial neural networks, A.T. Tzallas, M.G. Tsipouras, DI Fotiadis, Computational Intelligence and Neuroscience, Volume 2007, Article ID 80510, Pages 13, 2007, .
A method for classification of transient events in EEG recordings: application to epilepsy diagnosis. A.T. Tzallas, P.S. Karvelis, C.D. Katsis, D.I. Fotiadis, S. Giannopoulos, S. Konitsiotis. Methods Inf Med, Volume: 45(6), Pages: 610-21. 2006, .