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Evanthia E. Tripoliti
Evanthia E. Tripoliti
University of Ioannina, Unit of Medical Technology and Intelligent Information Systems
Verified email at gni-hatzikosta.gr
Title
Cited by
Cited by
Year
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
2682012
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
246*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
2262013
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
1402021
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
862010
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, ...
752015
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, ...
752015
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
672016
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
512012
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
512011
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
422013
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
342021
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
272008
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
252013
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
242010
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
242007
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
242007
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
232019
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
202019
COLET: A Dataset for Cognitive WorkLoad Estimation Based on Eye-Tracking
E Ktistakis, V Skaramagkas, D Manousos, NS Tachos, E Tripoliti, ...
Available at SSRN 4059768, 0
20*
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