Markos G. Tsipouras

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Referințe bibliografice	5452	3098
h-index	32	28
i10-index	69	55

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Alexandros T. TzallasAssociate Professor, Department of Informatics & Telecommunications, University of Ioannina, GreeceAdresă de e-mail confirmată pe uoi.gr
Nikos GiannakeasDepartment of Informatics and Telecommunications, University of Ioannina, GreeceAdresă de e-mail confirmată pe uoi.gr
Evaggelos KarvounisPostdoctoral Research Associate (Information Technologies Institute, ITI)Adresă de e-mail confirmată pe uoi.gr
Pinelopi ManousouDrAdresă de e-mail confirmată pe IMPERIAL.AC.UK
Katerina D. TzimourtaPostDoctoral Researcher, Dept. of Electrical & Computer Eng., University of Western MacedoniaAdresă de e-mail confirmată pe uowm.gr
Spiros KonitsiotisProfessor of Neurology, Faculty of Medicine, School of Health Sciences, University ofAdresă de e-mail confirmată pe uoi.gr
Themis ExarchosDept. of Informatics, Ionian UniversityAdresă de e-mail confirmată pe ionio.gr
Dimitrios G. TsalikakisLecturer, Department of Electrical & Computer Engineering, University of Western Macedonia, GreeceAdresă de e-mail confirmată pe uowm.gr
Loukas G. AstrakasAssist. Professor, Medical Physics, University of IoanninaAdresă de e-mail confirmată pe uoi.gr
Roberta Forlano, MD, PhDClinical research fellow, Imperial college LondonAdresă de e-mail confirmată pe imperial.ac.uk
George RigasUniversity of IoanninaAdresă de e-mail confirmată pe cs.uoi.gr
Lampros Michalisprofessor of cardiology, university of ioanninaAdresă de e-mail confirmată pe uoi.gr
Costas PapaloukasUniversity of IoanninaAdresă de e-mail confirmată pe uoi.gr
Katerina K. NakaProfessor of Cardiology, 2nd Department of Cardiology, Faculty of Medicine, School of HealthAdresă de e-mail confirmată pe uoi.gr
Mark ThurszProfessor of Hepatology, Imperial CollegeAdresă de e-mail confirmată pe imperial.ac.uk
Alexandros Bantaloukas-ArjmandUniversity of IoanninaAdresă de e-mail confirmată pe uoi.gr
Evanthia E. TripolitiUniversity of Ioannina, Unit of Medical Technology and Intelligent Information SystemsAdresă de e-mail confirmată pe gni-hatzikosta.gr
Konstantinos KalafatakisAssistant Professor (UK Lecturer) in Medical NeurosciencesAdresă de e-mail confirmată pe qmul.ac.uk
Pantelis AngelidisUOWM-ECEAdresă de e-mail confirmată pe uowm.gr
Ioannis TsoulosAssociate Professor, Department of Informatics and Telecommunications, University of IoanninaAdresă de e-mail confirmată pe uoi.gr

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Markos G. Tsipouras

Associate Professor, Dept. of Electrical & Computer Engineering, Univ. of Western Macedonia

Adresă de e-mail confirmată pe uowm.gr

Biomedical Signal Processing Data Mining Medical Informatics Data modelling Computational Intelligence


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
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	818	2009
Automatic seizure detection based on time-frequency analysis and artificial neural networks AT Tzallas, MG Tsipouras, DI Fotiadis Computational intelligence and neuroscience 2007, 2007	540	2007
An arrhythmia classification system based on the RR-interval signal MG Tsipouras, DI Fotiadis, D Sideris Artificial intelligence in medicine 33 (3), 237-250, 2005	301	2005
Automated epileptic seizure detection methods: a review study AT Tzallas, MG Tsipouras, DG Tsalikakis, EC Karvounis, L Astrakas, ... Epilepsy–Histological, Electroencephalographic and Psychological Aspects …, 2012	234	2012
Automated diagnosis of coronary artery disease based on data mining and fuzzy modeling MG Tsipouras, TP Exarchos, DI Fotiadis, AP Kotsia, KV Vakalis, KK Naka, ... IEEE Transactions on Information Technology in Biomedicine 12 (4), 447-458, 2008	232	2008
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	229	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	202	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	167	2014
A methodology for the automated creation of fuzzy expert systems for ischaemic and arrhythmic beat classification based on a set of rules obtained by a decision tree TP Exarchos, MG Tsipouras, CP Exarchos, C Papaloukas, DI Fotiadis, ... Artificial Intelligence in medicine 40 (3), 187-200, 2007	165	2007
Automatic arrhythmia detection based on time and time–frequency analysis of heart rate variability MG Tsipouras, DI Fotiadis Computer methods and programs in biomedicine 74 (2), 95-108, 2004	160	2004
An automated methodology for fetal heart rate extraction from the abdominal electrocardiogram EC Karvounis, MG Tsipouras, DI Fotiadis, KK Naka IEEE Transactions on Information technology in Biomedicine 11 (6), 628-638, 2007	118	2007
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	114	2014
A framework for fuzzy expert system creation—application to cardiovascular diseases MG Tsipouras, C Voglis, DI Fotiadis IEEE Transactions on Biomedical Engineering 54 (11), 2089-2105, 2007	111	2007
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	109	2012
Arrhythmia classification using the RR-interval duration signal MG Tsipouras, DI Fotiadis, D Sideris Computers in Cardiology, 485-488, 2002	103	2002
Spectral information of EEG signals with respect to epilepsy classification MG Tsipouras EURASIP Journal on Advances in Signal Processing 2019 (1), 1-17, 2019	98	2019
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	85	2020
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	84	2019
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	78	2007
A two-stage methodology for sequence classification based on sequential pattern mining and optimization TP Exarchos, MG Tsipouras, C Papaloukas, DI Fotiadis Data & Knowledge Engineering 66 (3), 467-487, 2008	70	2008

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