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Eleni I. Georga
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2020 – today
- 2024
- [j5]Laura Lopez-Perez
, Eleni I. Georga, Carlo Conti, Victor Vicente
Statistical and machine learning methods for cancer research and clinical practice: A systematic review. Biomed. Signal Process. Control. 92: 106067 (2024) - 2023
- [c25]Fotios S. Konstantakopoulos
Personalized Clustering of Glucose Time Series in Patients with Type-1 Diabetes Mellitus Using Self Organized Maps During Nocturnal Sleep. BIBE 2023: 298-302 - [c24]Fotios S. Konstantakopoulos
Weight Estimation of Mediterranean Food Images using Random Forest Regression Algorithm. EMBC 2023: 1-4 - 2022
- [c23]Daphne N. Katsarou, Eleni I. Georga
Short Term Glucose Prediction in Patients with Type 1 Diabetes Mellitus. EMBC 2022: 329-332 - [c22]Fotis Konstantakopoulos
GlucoseML Mobile Application for Automated Dietary Assessment of Mediterranean Food. EMBC 2022: 1432-1435 - [c21]Fotios S. Konstantakopoulos
Multiclass Semantic Segmentation of Mediterranean Food Images. PervasiveHealth 2022: 49-59 - [c20]Daphne N. Katsarou, Eleni I. Georga, Maria Christou, Stelios Tigas, Costas Papaloukas, Dimitrios I. Fotiadis:
An Exploratory Study of the Value of Vital Signs on the Short-Term Prediction of Subcutaneous Glucose Concentration in Type 1 Diabetes - The GlucoseML Study. PervasiveHealth 2022: 450-459 - 2021
- [c19]Fotis Konstantakopoulos
3D Reconstruction and Volume Estimation of Food using Stereo Vision Techniques. BIBE 2021: 1-4 - [c18]Fotis Konstantakopoulos
Mediterranean Food Image Recognition Using Deep Convolutional Networks. EMBC 2021: 1740-1743 - 2020
- [j4]Antonis I. Sakellarios, Joao Correia
A cloud-based platform for the non-invasive management of coronary artery disease. Enterp. Inf. Syst. 14(8): 1102-1123 (2020) - [c17]Vassiliki I. Kigka, Antonis I. Sakellarios, Eleni I. Georga
Site specific prediction of PCI stenting based on imaging and biomechanics data using gradient boosting tree ensembles. EMBC 2020: 2812-2815 - [c16]Eleni I. Georga
A Dynamic Bayesian Network Approach to Behavioral Modelling of Elderly People during a Home-based Augmented Reality Balance Physiotherapy Programme. EMBC 2020: 5544-5547
2010 – 2019
- 2019
- [j3]Eleni I. Georga
Short-term prediction of glucose in type 1 diabetes using kernel adaptive filters. Medical Biol. Eng. Comput. 57(1): 27-46 (2019) - [c15]Fotis Konstantakopoulos
Automatic Estimation of the Nutritional Composition of Foods as Part of the GlucoseML Type 1 Diabetes Self-Management System. BIBE 2019: 470-473 - [c14]Dimitrios Pleouras, Antonis I. Sakellarios, Savvas K. Kyriakidis, Vassiliki Kigka, Panagiotis K. Siogkas, Panagiota Tsompou, Nikolaos S. Tachos
A computational multi-level atherosclerotic plaque growth model for coronary arteries. EMBC 2019: 5010-5013 - [c13]Antonis I. Sakellarios, Panagiota Tsompou, Panagiotis K. Siogkas, Vassiliki Kigka, Ioannis O. Andrikos, Nikolaos S. Tachos
Predictive Models of Coronary Artery Disease Based on Computational Modeling: The SMARTool System. EMBC 2019: 7002-7005 - [c12]Dimitrios A. Gatsios
Achieving adherence in home-based rehabilitation with novel human machine interactions that stimulate community-dwelling older adults. PETRA 2019: 616-619 - 2018
- [c11]Antonis I. Sakellarios, Panagiotis K. Siogkas, Eleni I. Georga
A Clinical Decision Support Platform for the Risk Stratification, Diagnosis, and Prediction of Coronary Artery Disease Evolution. EMBC 2018: 4556-4559 - [c10]Vassiliki I. Kigka, Eleni I. Georga
A Machine Learning Approach for the Prediction of the Progression of Cardiovascular Disease based on Clinical and Non-Invasive Imaging Data. EMBC 2018: 6108-6111 - 2017
- [c9]Georgios I. Gogolos
An mhealth Platform to Evaluate Glycaemic Variability in Type 1 Diabetes. BIBE 2017: 273-278 - [c8]Eleni I. Georga
Kernel-based adaptive learning improves accuracy of glucose predictive modelling in type 1 diabetes: A proof-of-concept study. EMBC 2017: 2765-2768 - 2016
- [c7]Eleni I. Georga
Non-linear dynamic modeling of glucose in type 1 diabetes with kernel adaptive filters. EMBC 2016: 5897-5900 - 2015
- [j2]Eleni I. Georga
Evaluation of short-term predictors of glucose concentration in type 1 diabetes combining feature ranking with regression models. Medical Biol. Eng. Comput. 53(12): 1305-1318 (2015) - [c6]Eleni I. Georga
Online prediction of glucose concentration in type 1 diabetes using extreme learning machines. EMBC 2015: 3262-3265 - 2014
- [c5]Eleni I. Georga
Development of a smart environment for diabetes data analysis and new knowledge mining. MobiHealth 2014: 112-115 - 2013
- [j1]Eleni I. Georga
Multivariate Prediction of Subcutaneous Glucose Concentration in Type 1 Diabetes Patients Based on Support Vector Regression. IEEE J. Biomed. Health Informatics 17(1): 71-81 (2013) - [c4]Eleni I. Georga
Short-term vs. long-term analysis of diabetes data: Application of machine learning and data mining techniques. BIBE 2013: 1-4 - [c3]Stelios Sotiriadis, Euripides G. M. Petrakis
An architecture for designing Future Internet (FI) applications in sensitive domains: Expressing the software to data paradigm by utilizing hybrid cloud technology. BIBE 2013: 1-6 - 2012
- [c2]Eleni I. Georga
A predictive model of subcutaneous glucose concentration in type 1 diabetes based on Random Forests. EMBC 2012: 2889-2892 - 2010
- [c1]Eleni I. Georga
Predictive Metabolic Modeling for Type 1 Diabetes Using Free-Living Data on Mobile Devices. MobiHealth 2010: 187-193
Coauthor Index
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