| Epileptic seizure detection in EEGs using time–frequency analysis AT Tzallas, MG Tsipouras, DI Fotiadis IEEE transactions on information technology in biomedicine 13 (5), 703-710, 2009 | 931 | 2009 |
| Automatic seizure detection based on time‐frequency analysis and artificial neural networks AT Tzallas, MG Tsipouras, DI Fotiadis Computational intelligence and neuroscience 2007 (1), 080510, 2007 | 584 | 2007 |
| Assessment of tremor activity in the Parkinson’s disease using a set of wearable sensors G Rigas, AT Tzallas, MG Tsipouras, P Bougia, EE Tripoliti, D Baga, ... IEEE Transactions on Information Technology in Biomedicine 16 (3), 478-487, 2012 | 279 | 2012 |
| Automated epileptic seizure detection methods: a review study AT Tzallas, MG Tsipouras, DG Tsalikakis, EC Karvounis, L Astrakas, ... Epilepsy-histological, electroencephalographic and psychological aspects, 75-98, 2012 | 270 | 2012 |
| Automatic detection of freezing of gait events in patients with Parkinson's disease EE Tripoliti, AT Tzallas, MG Tsipouras, G Rigas, P Bougia, M Leontiou, ... Computer methods and programs in biomedicine 110 (1), 12-26, 2013 | 240 | 2013 |
| PERFORM: a system for monitoring, assessment and management of patients with Parkinson's disease AT Tzallas, MG Tsipouras, G Rigas, DG Tsalikakis, EC Karvounis, ... Sensors 14 (11), 21329-21357, 2014 | 197 | 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, AT Tzallas, MG Tsipouras, G Rigas, ... Sensors 14 (9), 17235-17255, 2014 | 136 | 2014 |
| High-throughput, machine learning–based quantification of steatosis, inflammation, ballooning, and fibrosis in biopsies from patients with nonalcoholic fatty liver disease R Forlano, BH Mullish, N Giannakeas, JB Maurice, N Angkathunyakul, ... Clinical Gastroenterology and Hepatology 18 (9), 2081-2090. e9, 2020 | 130 | 2020 |
| An automated methodology for levodopa-induced dyskinesia: assessment based on gyroscope and accelerometer signals MG Tsipouras, AT Tzallas, G Rigas, S Tsouli, DI Fotiadis, S Konitsiotis Artificial intelligence in medicine 55 (2), 127-135, 2012 | 123 | 2012 |
| A robust methodology for classification of epileptic seizures in EEG signals KD Tzimourta, AT Tzallas, N Giannakeas, LG Astrakas, DG Tsalikakis, ... Health and Technology 9, 135-142, 2019 | 120 | 2019 |
| Alzheimer’s disease and frontotemporal dementia: A robust classification method of EEG signals and a comparison of validation methods A Miltiadous, KD Tzimourta, N Giannakeas, MG Tsipouras, T Afrantou, ... Diagnostics 11 (8), 1437, 2021 | 112 | 2021 |
| A Kalman filter based methodology for EEG spike enhancement VP Oikonomou, AT Tzallas, DI Fotiadis Computer methods and programs in biomedicine 85 (2), 101-108, 2007 | 112 | 2007 |
| EEG transient event detection and classification using association rules TP Exarchos, AT Tzallas, DI Fotiadis, S Konitsiotis, S Giannopoulos IEEE Transactions on Information Technology in Biomedicine 10 (3), 451-457, 2006 | 108 | 2006 |
| The use of time-frequency distributions for epileptic seizure detection in EEG recordings AT Tzallas, MG Tsipouras, DI Fotiadis 2007 29th Annual International Conference of the IEEE Engineering in …, 2007 | 89 | 2007 |
| Deep learning on histopathological images for colorectal cancer diagnosis: a systematic review A Davri, E Birbas, T Kanavos, G Ntritsos, N Giannakeas, AT Tzallas, ... Diagnostics 12 (4), 837, 2022 | 84 | 2022 |
| A multichannel watershed-based segmentation method for multispectral chromosome classification PS Karvelis, AT Tzallas, DI Fotiadis, I Georgiou IEEE transactions on medical imaging 27 (5), 697-708, 2008 | 77 | 2008 |
| EEG window length evaluation for the detection of Alzheimer’s disease over different brain regions KD Tzimourta, N Giannakeas, AT Tzallas, LG Astrakas, T Afrantou, ... Brain sciences 9 (4), 81, 2019 | 74 | 2019 |
| EEG-Based Automatic Sleep Stage Classification KD Tzimourta, A Tsilimbaris, K Tzioukalia, AT Tzallas, MG Tsipouras, ... | 72 | 2018 |
| Epileptic seizures classification based on long-term EEG signal wavelet analysis KD Tzimourta, AT Tzallas, N Giannakeas, LG Astrakas, DG Tsalikakis, ... Precision Medicine Powered by pHealth and Connected Health: ICBHI 2017 …, 2018 | 70 | 2018 |
| Parameters of glucose and lipid metabolism at the fasted state in drug-naive first-episode patients with psychosis: evidence for insulin resistance P Petrikis, S Tigas, AT Tzallas, I Papadopoulos, P Skapinakis, V Mavreas Psychiatry research 229 (3), 901-904, 2015 | 70 | 2015 |
Markos G. TsipourasProfessor, Dept. of Electrical & Computer Engineering, Univ. of Western MacedoniaEmail verificata su uowm.gr
