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ORCIDEvanthia E. Tripoliti
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2020 – today
- 2022
[j11]Emmanouil Ktistakis, Vasileios Skaramagkas
, Dimitris Manousos, Nikolaos S. Tachos, Evanthia E. Tripoliti, Dimitrios I. Fotiadis, Manolis Tsiknakis:
COLET: A dataset for COgnitive workLoad estimation based on eye-tracking. Comput. Methods Programs Biomed. 224: 106989 (2022)- [c27]Dimitrios Boucharas, Christos Androutsos, Nikolaos S. Tachos, Evanthia E. Tripoliti, Dimitrios Manousos, Vasileios Skaramagkas, Emmanouil Ktistakis, Kostas Marias, Manolis Tsiknakis, Dimitrios I. Fotiadis:
AI Methods for Personalized Suggestions on Smart Glasses Based on Human Activity Recognition. BHI 2022: 1-4 - [c26]Daphni Plati, Evanthia E. Tripoliti, Styliani Zelilidou, Kostas I. Vlachos, Spyridon Konitsiotis, Dimitrios I. Fotiadis:
Multiple Sclerosis Severity Estimation and Progression Prediction Based on Machine Learning Techniques. EMBC 2022: 1109-1112 - [c25]Dimitrios Boucharas, Christos Androutsos, Nikolaos S. Tachos, Evanthia E. Tripoliti, Dimitris Manousos, Peter Skov Jensen, Luis Castilln Torre, Manolis Tsiknakis, Dimitios I. Fotiadis:
A User-Centric approach for Personalization based on Human Activity Recognition. EMBC 2022: 1770-1773 - [c24]Theofilos G. Papadopoulos, Evanthia E. Tripoliti, Daphne Plati, Styliani Zelilidou, Kostas Vlachos, Spiros Konitsiotis, Dimitrios I. Fotiadis:
White Matter Lesion Segmentation for Multiple Sclerosis Patients implementing deep learning. EMBC 2022: 3818-3821 - [c23]Styliani P. Zelilidou, Evanthia E. Tripoliti, Kostas I. Vlachos, Spyridon Konitsiotis, Dimitrios I. Fotiadis:
Segmentation and volume quantification of MR Images for the detection and monitoring multiple sclerosis progression. EMBC 2022: 4745-4748 - 2021
- [c22]Dimitrios Boucharas, Christos Androutsos, Nikolaos S. Tachos, Evanthia E. Tripoliti, Dimitrios Manousos, Vasileios Skaramagkas, Emmanouil Ktistakis, Manolis Tsiknakis, Dimitrios I. Fotiadis:
Exploring Artificial Intelligence methods for recognizing human activities in real time by exploiting inertial sensors. BIBE 2021: 1-4 - [c21]Vasileios Skaramagkas, Emmanouil Ktistakis, Dimitris Manousos, Nikolaos S. Tachos, Eleni Kazantzaki, Evanthia E. Tripoliti, Dimitrios I. Fotiadis, Manolis Tsiknakis:
Cognitive workload level estimation based on eye tracking: A machine learning approach. BIBE 2021: 1-5 - [c20]Vasileios Skaramagkas, Emmanouil Ktistakis, Dimitris Manousos, Nikolaos S. Tachos, Eleni Kazantzaki, Evanthia E. Tripoliti, Dimitrios I. Fotiadis, Manolis Tsiknakis:
A machine learning approach to predict emotional arousal and valence from gaze extracted features. BIBE 2021: 1-5 - [c19]Styliani P. Zelilidou, Evanthia E. Tripoliti, Kostas I. Vlachos, Spyridon Konitsiotis, Dimitrios I. Fotiadis:
Clustering based Segmentation of MR Images for the Delineation and Monitoring of Multiple Sclerosis Progression. BIBE 2021: 1-4 - [c18]Theofilos G. Papadopoulos, Daphni Plati, Evanthia E. Tripoliti, Yorgos Goletsis, Katerina K. Naka, Aidonis Rammos, Aris Bechlioulis, Chris Watson, Kenneth McDonald, Mark Ledwidge, Rebabonye Pharithi, Joseph Gallagher, Dimitrios I. Fotiadis:
Heart Failure diagnosis based on deep learning techniques. EMBC 2021: 1757-1760 - [c17]Christos Androutsos, Nikolaos S. Tachos, Evanthia E. Tripoliti, Ioannis Karatzanis, Dimitris Manousos, Manolis Tsiknakis, Dimitrios I. Fotiadis:
Real Time Human Activity Recognition Using Acceleration and First-Person Camera data. EMBC 2021: 6966-6969
2010 – 2019
- 2019
- [j10]Evanthia E. Tripoliti, Georgia S. Karanasiou, Fanis G. Kalatzis, Aris Bechlioulis, Yorgos Goletsis, Katerina K. Naka, Dimitrios I. Fotiadis:
HEARTEN KMS - A knowledge management system targeting the management of patients with heart failure. J. Biomed. Informatics 94 (2019) - [c16]Evanthia E. Tripoliti, Styliani Zelilidou, Kostas Vlahos, Spyridon Konitsiotis, Dimitrios I. Fotiadis:
ProMiSi Architecture - A Tool for the Estimation of the Progression of Multiple Sclerosis Disease using MRI. BIBE 2019: 284-287 - [c15]Evanthia E. Tripoliti, Penelope Ioannidou, Petros Toumpaniaris, Aris Bechlioulis, Aidonis Rammos, Joseph Gallagher, Pietro Salvo, Yorgos Goletsis, Katerina K. Naka, Abdelhamid Errachid, Dimitrios I. Fotiadis:
KardiaSoft Architecture - A Software Supporting Diagnosis and Therapy Monitoring of Heart Failure Patients Exploiting Saliva Biomarkers. EMBC 2019: 1382-1385 - 2018
- [c14]Georgia S. Karanasiou, Evanthia E. Tripoliti, Yorgos Goletsis, Fanis G. Kalatzis, Katerina K. Naka, Roger Fuoco, Wolfram Miekisch, Kostis E. Tzannetis, Stefanos G. Zervos, Joan R. Bausells, Abdelhamid Errachid, Dimitrios I. Fotiadis:
HEARTEN: An integrated mHealth platform for holistic HF management. BHI 2018: 295-298 - 2017
- [c13]Evanthia E. Tripoliti, Theofilos G. Papadopoulos, Georgia S. Karanasiou, Fanis G. Kalatzis, Aris Bechlioulis, Yorgos Goletsis, Katerina K. Naka, Dimitrios I. Fotiadis:
Estimation of New York Heart Association class in heart failure patients based on machine learning techniques. BHI 2017: 421-424 - [c12]Evanthia E. Tripoliti, Georgia S. Karanasiou, Fanis G. Kalatzis, Yorgos Goletsis, Aris Bechlioulis, Silvia Ghimenti, Tommaso Lomonaco, Francesca G. Bellagambi, Roger Fuoco, Mario Marzilli, Maria Chiara Scali, Katerina K. Naka, Abdelhamid Errachid, Dimitrios I. Fotiadis:
Predicting Heart Failure Patient Events by Exploiting Saliva and Breath Biomarkers Information. BIBE 2017: 285-290 - [c11]Evanthia E. Tripoliti, Theofilos G. Papadopoulos, Georgia S. Karanasiou, Fanis G. Kalatzis, Yorgos Goletsis, Aris Bechlioulis, Silvia Ghimenti, Tommaso Lomonaco, Francesca G. Bellagambi, Roger Fuoco, Mario Marzilli, Maria Chiara Scali, Katerina K. Naka, Abdelhamid Errachid, Dimitrios I. Fotiadis:
Estimation of Heart Failure Patients Medication Adherence through the Utilization of Saliva and Breath Biomarkers and Data Mining Techniques. CBMS 2017: 231-235 - [c10]Evanthia E. Tripoliti, Theofilos G. Papadopoulos, Georgia S. Karanasiou, Fanis G. Kalatzis, Yorgos Goletsis, Aris Bechlioulis, Silvia Ghimenti, Tommaso Lomonaco, Francesca G. Bellagambi, Maria Giovanna Trivella, Roger Fuoco, Mario Marzilli, Maria Chiara Scali, Katerina K. Naka, Abdelhamid Errachid, Dimitrios I. Fotiadis:
A computational approach for the estimation of heart failure patients status using saliva biomarkers. EMBC 2017: 3648-3651 - 2015
- [j9]Elias D. Berdouses, Georgia D. Koutsouri, Evanthia E. Tripoliti, George K. Matsopoulos, Constantine J. Oulis, Dimitrios I. Fotiadis:
A computer-aided automated methodology for the detection and classification of occlusal caries from photographic color images. Comput. Biol. Medicine 62: 119-135 (2015) - [c9]Georgia S. Karanasiou, Fanis G. Kalatzis, Evanthia E. Tripoliti, Abdelhamid Errachid, Maria Giovanna Trivella, Roger Fuoco, Fabio Di Francesco, Mario Marzilli, Alicia Martinez-García, Carlos Luis Parra Calderón, Jochen K. Schubert, Wolfram Miekisch, Joan R. Bausells, Themis P. Exarchos, Dimitrios I. Fotiadis:
A preliminary presentation of a mobile co-operative platform for Heart Failure self-management. BIBE 2015: 1-4 - 2014
- [c8]Christos G. Bampis, Georgia D. Koutsouri, Elias D. Berdouses, Evanthia E. Tripoliti, Dimitra Iliopoulou, Dimitrios D. Koutsouris, Constantine J. Oulis, Dimitrios I. Fotiadis:
Occlusal caries detection using random walker algorithm: A graph approach. EMBC 2014: 1929-1932 - 2013
- [j8]Evanthia E. Tripoliti, Alexandros T. Tzallas, Markos G. Tsipouras, George Rigas, Panagiota Bougia, Michael Leontiou, Spiros Konitsiotis, Maria Chondrogiorgi, Sofia Tsouli, Dimitrios I. Fotiadis:
Automatic detection of freezing of gait events in patients with Parkinson's disease. Comput. Methods Programs Biomed. 110(1): 12-26 (2013) - [j7]Evanthia E. Tripoliti, Dimitrios I. Fotiadis, George Manis:
Modifications of the construction and voting mechanisms of the Random Forests Algorithm. Data Knowl. Eng. 87: 41-65 (2013) - [c7]Georgia S. Karanasiou, Antonios I. Sakellarios, Evanthia E. Tripoliti, Euripides G. M. Petrakis, Michalis E. Zervakis, Francesco Migliavacca, Gabriele Dubini, Elena Dordoni, Lampros K. Michalis, Dimitrios I. Fotiadis:
Modeling stent deployment in realistic arterial segment geometries: The effect of the plaque composition. BIBE 2013: 1-4 - [c6]Georgia D. Koutsouri, Elias D. Berdouses, Evanthia E. Tripoliti, Constantine J. Oulis, Dimitrios I. Fotiadis:
Detection of occlusal caries based on digital image processing. BIBE 2013: 1-4 - [c5]Claudio Silvestro, Jonathan Michaels, Spiridoula Dimou, Evanthia E. Tripoliti, Euripides G. M. Petrakis:
Application of decisional models to the health-economic assessment of new interactive clinical software. BIBE 2013: 1-5 - [c4]Evanthia E. Tripoliti, Ioannis G. Pappas, Euripides G. M. Petrakis, Josep Maria Sans:
Crafting vascular medicine training scenarios: The RT3S authoring tool. BIBE 2013: 1-4 - [c3]Evanthia E. Tripoliti, Ioannis G. Pappas, Euripides G. M. Petrakis, Josep Maria Sans:
E-learning templates for peripheral vascular stenting. Healthcom 2013: 160-163 - 2012
- [b1]Evanthia E. Tripoliti:
Αυτόματη ανάλυση λειτουργίας εγκεφάλου σε άτομα με τη νόσο Alzheimer βασισμένη στον αλγόριθμο τυχαίων δασών. University of Ioannina, Greece, 2012 - [j6]George Rigas, Alexandros T. Tzallas, Markos G. Tsipouras, Panagiota Bougia, Evanthia E. Tripoliti, Dina Baga, Dimitrios I. Fotiadis, Sofia Tsouli, Spiros Konitsiotis:
Assessment of Tremor Activity in the Parkinson's Disease Using a Set of Wearable Sensors. IEEE Trans. Inf. Technol. Biomed. 16(3): 478-487 (2012) - [j5]Evanthia E. Tripoliti, Dimitrios I. Fotiadis, George Manis:
Automated Diagnosis of Diseases Based on Classification: Dynamic Determination of the Number of Trees in Random Forests Algorithm. IEEE Trans. Inf. Technol. Biomed. 16(4): 615-622 (2012) - 2011
- [j4]Evanthia E. Tripoliti, Dimitrios I. Fotiadis, Maria Argyropoulou:
A supervised method to assist the diagnosis and monitor progression of Alzheimer's disease using data from an fMRI experiment. Artif. Intell. Medicine 53(1): 35-45 (2011) - 2010
- [j3]Evanthia E. Tripoliti, Dimitrios I. Fotiadis, Maria Argyropoulou, George Manis:
A six stage approach for the diagnosis of the Alzheimer's disease based on fMRI data. J. Biomed. Informatics 43(2): 307-320 (2010) - [j2]Vangelis P. Oikonomou, Evanthia E. Tripoliti, Dimitrios I. Fotiadis:
Bayesian methods for fMRI time-series analysis using a nonstationary model for the noise. IEEE Trans. Inf. Technol. Biomed. 14(3): 664-674 (2010) - [c2]Markos G. Tsipouras, Alexandros T. Tzallas, Evanthia E. Tripoliti, Georgios Rigas, Panagiota Bougia, Dimitrios I. Fotiadis, Sofia Tsouli, Spiros Konitsiotis:
On Assessing Motor Disorders in Parkinson's Disease. MobiHealth 2010: 35-38
2000 – 2009
- 2008
- [c1]Vangelis P. Oikonomou, Evanthia E. Tripoliti, Dimitrios I. Fotiadis:
A sparse variational Bayesian approach for fMRI data analysis. BIBE 2008: 1-6 - 2007
- [j1]Evanthia E. Tripoliti, Dimitrios I. Fotiadis, Maria Argyropoulou:
Automated segmentation and quantification of inflammatory tissue of the hand in rheumatoid arthritis patients using magnetic resonance imaging data. Artif. Intell. Medicine 40(2): 65-85 (2007)
Coauthor Index
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