Eleni I. Georga

Orcid: 0000-0002-3607-0727

According to our database1, Eleni I. Georga authored at least 30 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Statistical and machine learning methods for cancer research and clinical practice: A systematic review.
Biomed. Signal Process. Control., 2024

2023
Weight Estimation of Mediterranean Food Images using Random Forest Regression Algorithm.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

Personalized Clustering of Glucose Time Series in Patients with Type-1 Diabetes Mellitus Using Self Organized Maps During Nocturnal Sleep.
Proceedings of the 23rd IEEE International Conference on Bioinformatics and Bioengineering, 2023

2022
Multiclass Semantic Segmentation of Mediterranean Food Images.
Proceedings of the Pervasive Computing Technologies for Healthcare, 2022

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.
Proceedings of the Pervasive Computing Technologies for Healthcare, 2022

GlucoseML Mobile Application for Automated Dietary Assessment of Mediterranean Food.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Short Term Glucose Prediction in Patients with Type 1 Diabetes Mellitus.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021
Mediterranean Food Image Recognition Using Deep Convolutional Networks.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

3D Reconstruction and Volume Estimation of Food using Stereo Vision Techniques.
Proceedings of the 21st IEEE International Conference on Bioinformatics and Bioengineering, 2021

2020
A cloud-based platform for the non-invasive management of coronary artery disease.
Enterp. Inf. Syst., 2020

Site specific prediction of PCI stenting based on imaging and biomechanics data using gradient boosting tree ensembles.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

A Dynamic Bayesian Network Approach to Behavioral Modelling of Elderly People during a Home-based Augmented Reality Balance Physiotherapy Programme.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Short-term prediction of glucose in type 1 diabetes using kernel adaptive filters.
Medical Biol. Eng. Comput., 2019

Achieving adherence in home-based rehabilitation with novel human machine interactions that stimulate community-dwelling older adults.
Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2019

Predictive Models of Coronary Artery Disease Based on Computational Modeling: The SMARTool System.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

A computational multi-level atherosclerotic plaque growth model for coronary arteries.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Automatic Estimation of the Nutritional Composition of Foods as Part of the GlucoseML Type 1 Diabetes Self-Management System.
Proceedings of the 19th IEEE International Conference on Bioinformatics and Bioengineering, 2019

2018
A Clinical Decision Support Platform for the Risk Stratification, Diagnosis, and Prediction of Coronary Artery Disease Evolution.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

A Machine Learning Approach for the Prediction of the Progression of Cardiovascular Disease based on Clinical and Non-Invasive Imaging Data.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Kernel-based adaptive learning improves accuracy of glucose predictive modelling in type 1 diabetes: A proof-of-concept study.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

An mhealth Platform to Evaluate Glycaemic Variability in Type 1 Diabetes.
Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017

2016
Non-linear dynamic modeling of glucose in type 1 diabetes with kernel adaptive filters.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2015
Evaluation of short-term predictors of glucose concentration in type 1 diabetes combining feature ranking with regression models.
Medical Biol. Eng. Comput., 2015

Online prediction of glucose concentration in type 1 diabetes using extreme learning machines.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
Development of a smart environment for diabetes data analysis and new knowledge mining.
Proceedings of the 4th International Conference on Wireless Mobile Communication and Healthcare: "Transforming healthcare through innovations in mobile and wireless technologies", 2014

2013
Multivariate Prediction of Subcutaneous Glucose Concentration in Type 1 Diabetes Patients Based on Support Vector Regression.
IEEE J. Biomed. Health Informatics, 2013

An architecture for designing Future Internet (FI) applications in sensitive domains: Expressing the software to data paradigm by utilizing hybrid cloud technology.
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

Short-term vs. long-term analysis of diabetes data: Application of machine learning and data mining techniques.
Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

2012
A predictive model of subcutaneous glucose concentration in type 1 diabetes based on Random Forests.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2010
Predictive Metabolic Modeling for Type 1 Diabetes Using Free-Living Data on Mobile Devices.
Proceedings of the Wireless Mobile Communication and Healthcare, 2010


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