Evanthia E. Tripoliti

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DI FotiadisUnit of Medical Technology and Intelligent Information Systems, University of Ioannina & FORTHEmail verificata su cc.uoi.gr
Spiros KonitsiotisProfessor of Neurology, Faculty of Medicine, School of Health Sciences, University ofEmail verificata su uoi.gr
George RigasUniversity of IoanninaEmail verificata su cs.uoi.gr
Markos G. TsipourasAssociate Professor, Dept. of Electrical & Computer Engineering, Univ. of Western MacedoniaEmail verificata su uowm.gr
Alexandros T. TzallasAssociate Professor, Department of Informatics & Telecommunications, University of Ioannina, GreeceEmail verificata su uoi.gr
George ManisAssociate Professor, Dept. of Computer Science and Engineering, University of Ioannina, GreeceEmail verificata su cs.uoi.gr
Maria Chondrogiorgi, MD, PhDUniversity of Ioannina, GreeceEmail verificata su cc.uoi.gr
Euripides G.M. PetrakisSchool of Electrical and Computer Engineering, Techncial University of Crete (TUC)Email verificata su intelligence.tuc.gr
Michalis ZervakisTechnical University of CreteEmail verificata su display.tuc.gr
Antonis SakellariosAssistant professor of Biomedical Engineering, University of PatrasEmail verificata su upatras.gr
Francesco MigliavaccaPolitecnico di MilanoEmail verificata su polimi.it
Dimitrios KoutsourisBiomedical Engineering Laboratory, School of Electrical and Computer Engineering, National TechnicalEmail verificata su biomed.ntua.gr
Ioannis PappasUniversity of IoanninaEmail verificata su ceid.upatras.gr
Christos BellosLIME TechnologyEmail verificata su lime-technology.gr
Athanasios BibasNational and Kapodistrian University of AthensEmail verificata su med.uoa.gr
iliana bakolaPhd candidate at University of IoanninaEmail verificata su cc.uoi.gr
Dimitra IliopoulouSenior Researcher, National Technical University of AthensEmail verificata su biomed.ntua.gr
Francesco MaffessantiMaria Cecilia Hospital, GVM Care & ResearchEmail verificata su gvmnet.it
Emiliano VottaPolitecnico di MilanoEmail verificata su polimi.it
Gaetano NuciforaLeiden University Medical Center, Fondazione Cardiocentro Ticino, "Santa Maria della Misericordia"Email verificata su cardionet.it

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Evanthia E. Tripoliti

University of Ioannina, Unit of Medical Technology and Intelligent Information Systems

Email verificata su gni-hatzikosta.gr

Artificial Intelligence Machine Learning Biomedical Signal Processing Biomedical Image Processing Biomedical Engineering


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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, ... Information Technology in Biomedicine, IEEE Transactions on 16 (3), 478-487, 2012	246	2012
Heart Failure: Diagnosis, Severity Estimation And Prediction Of Adverse Events Through Machine Learning Techniques FD Tripoliti Evanthia, Papadopoulos Theofilos, Karanasiou Georgia, Naka Katerina Computational and Structural Biotechnology Journal 15, 26-47, 2016	222*	2016
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	213	2013
A six stage approach for the diagnosis of the Alzheimer’s disease based on fMRI data EE Tripoliti, DI Fotiadis, M Argyropoulou, G Manis Journal of biomedical informatics 43 (2), 307-320, 2010	82	2010
Review of eye tracking metrics involved in emotional and cognitive processes V Skaramagkas, G Giannakakis, E Ktistakis, D Manousos, I Karatzanis, ... IEEE Reviews in Biomedical Engineering, 2021	78	2021
A computer-aided automated methodology for the detection and classification of occlusal caries from photographic color images ED Berdouses, GD Koutsouri, EE Tripoliti, GK Matsopoulos, CJ Oulis, ...	67	2015
A computer-aided automated methodology for the Detection and Classification of Occlusal Caries from Photographic Color Images ED Berdouses, GD Koutsouri, EE Tripoliti, GK Matsopoulos, CJ Oulis, ...	67	2015
Predicting adherence of patients with HF through machine learning techniques GS Karanasiou, EE Tripoliti, TG Papadopoulos, FG Kalatzis, Y Goletsis, ... Healthcare Technology Letters 3 (3), 165-170, 2016	58	2016
Automated diagnosis of diseases based on classification: dynamic determination of the number of trees in random forests algorithm EE Tripoliti, DI Fotiadis, G Manis Information Technology in Biomedicine, IEEE Transactions on 16 (4), 615-622, 2012	51	2012
A supervised method to assist the diagnosis and monitor progression of Alzheimer's disease using data from an fMRI experiment EE Tripoliti, DI Fotiadis, M Argyropoulou Artificial intelligence in medicine 53 (1), 35-45, 2011	49	2011
Modifications of the construction and voting mechanisms of the random forests algorithm EE Tripoliti, DI Fotiadis, G Manis Data & Knowledge Engineering 87, 41-65, 2013	38	2013
A supervised method to assist the diagnosis and classification of the status of Alzheimer's disease using data from an fMRI experiment EE Tripoliti, DI Fotiadis, M Argyropoulou Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual …, 2008	27	2008
Detection of occlusal caries based on digital image processing GD Koutsouri, E Berdouses, EE Tripoliti, C Oulis, DI Fotiadis Bioinformatics and Bioengineering (BIBE), 2013 IEEE 13th International …, 2013	25	2013
Dynamic construction of Random Forests: Evaluation using biomedical engineering problems EE Tripoliti, DI Fotiadis, G Manis Information Technology and Applications in Biomedicine (ITAB), 2010 10th …, 2010	24	2010
A supervised method to assist the diagnosis of Alzheimer's disease based on functional magnetic resonance imaging EE Tripoliti, DI Fotiadis, M Argyropoulou Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual …, 2007	22	2007
Automated segmentation and quantification of inflammatory tissue of the hand in rheumatoid arthritis patients using magnetic resonance imaging data EE Tripoliti, DI Fotiadis, M Argyropoulou Artificial intelligence in medicine 40 (2), 65-85, 2007	22	2007
A Machine Learning Approach for Chronic Heart Failure Diagnosis DK Plati, EE Tripoliti, A Bechlioulis, A Rammos, I Dimou, L Lakkas, ... Diagnostics 11 (10), 1863, 2021	21	2021
HEARTEN KMS–A knowledge management system targeting the management of patients with heart failure EE Tripoliti, GS Karanasiou, FG Kalatzis, A Bechlioulis, Y Goletsis, K Naka, ... Journal of biomedical informatics, 103203, 2019	20	2019
Point-of-care testing devices for heart failure analyzing blood and saliva samples. EE Tripoliti, P Ioannidou, P Toumpaniaris, A Rammos, D Pacitto, ... IEEE reviews in biomedical engineering, 2019	19	2019
Bayesian methods for fMRI time-series analysis using a nonstationary model for the noise VP Oikonomou, EE Tripoliti, DI Fotiadis Information Technology in Biomedicine, IEEE Transactions on 14 (3), 664-674, 2010	17	2010

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