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Stavroula Georgia Mougiakakou

Observed names: Mougiakakou Stavroula, Mougiakakou, Stavroula, Mougiakakou, Stavroula G., Mougiakakou, Stavroula Georgia, S G Mougiakakou, S. G. Mougiakakou, S. Mougiakakou, S.G. Mougiakakou, S.Gr. Mougiakakou, Stavroula G. Mougiakakou, Stavroula G Mougiakakou, Stavroula G. Mougiakakou, Stavroula Gr. Mougiakakou, Stavroula Mougiakakou, Stavroula-Georgia Mougiakakou, Σταυρούλα-Γεωργία Μουγιακάκου
Observed institutions: University of Bern, University of Nicosia, National Technical University of Athens, National and Kapodistrian University of Athens, University Hospital of Bern, Institute of Communication and Computer Systems, Universitätsklinik für Diabetologie, Endokrinologie, Ernährungsmedizin & Metabolismus
ORCID: 0000-0002-6355-9982
Observed ORCID: 0000-0002-6355-9982
OpenAlex ID: A5033248976
Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network
2016 · Marios Anthimopoulos, Stergios Christodoulidis, et al. · IEEE Transactions on Medical Imaging · 1,370
Multisource Transfer Learning With Convolutional Neural Networks for Lung Pattern Analysis
2016 · Stergios Christodoulidis, Marios Anthimopoulos, et al. · IEEE Journal of Biomedical and Health Informatics · 303
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A computer-aided diagnostic system to characterize CT focal liver lesions: design and optimization of a neural network classifier
2003 · M. Gletsos, S.G. Mougiakakou, et al. · IEEE Transactions on Information Technology in Biomedicine · 250
A Food Recognition System for Diabetic Patients Based on an Optimized Bag-of-Features Model
2014 · Marios M. Anthimopoulos, Lauro Gianola, et al. · IEEE Journal of Biomedical and Health Informatics · 227
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Predicting Blood Glucose with an LSTM and Bi-LSTM Based Deep Neural Network
2018 · Qingnan Sun, Marko V. Jankovic, et al. · Symposium on Neural Networks and Applications (NEUREL) · 209
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Semantic Segmentation of Pathological Lung Tissue With Dilated Fully Convolutional Networks
2018 · Marios Anthimopoulos, Stergios Christodoulidis, et al. · IEEE Journal of Biomedical and Health Informatics · 155
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Computer-Aided Diagnosis of Pulmonary Fibrosis Using Deep Learning and CT Images
2019 · Andreas Christe, Alan A. Peters, et al. · Investigative Radiology · 150
Computer aided diagnosis based on medical image processing and artificial intelligence methods
2006 · John Stoitsis, Ioannis Valavanis, et al. · Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment · 148
Two-View 3D Reconstruction for Food Volume Estimation
2016 · Joachim Dehais, Marios Anthimopoulos, et al. · IEEE Transactions on Multimedia · 147
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AI for IMPACTS Framework for Evaluating the Long-Term Real-World Impacts of AI-Powered Clinician Tools: Systematic Review and Narrative Synthesis
2024 · Christine Jacob, Noé Brasier, et al. · Journal of Medical Internet Research · 125
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Carbohydrate Estimation by a Mobile Phone-Based System Versus Self-Estimations of Individuals With Type 1 Diabetes Mellitus: A Comparative Study
2016 · Daniel Rhyner, Hannah Loher, et al. · Journal of Medical Internet Research · 117
goFOODTM: An Artificial Intelligence System for Dietary Assessment
2020 · Ya Lu, Thomai Stathopoulou, et al. · Sensors · 111
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SMARTDIAB: A Communication and Information Technology Approach for the Intelligent Monitoring, Management and Follow-up of Type 1 Diabetes Patients
2010 · Stavroula G. Mougiakakou, Christos S. Bartsocas, et al. · IEEE Transactions on Information Technology in Biomedicine · 111
Differential diagnosis of CT focal liver lesions using texture features, feature selection and ensemble driven classifiers
2007 · Stavroula G. Mougiakakou, Ioannis K. Valavanis, et al. · Artificial Intelligence in Medicine · 106
Computer-aided diagnosis of carotid atherosclerosis based on ultrasound image statistics, Laws’ texture and neural networks
2006 · Stavroula Gr. Mougiakakou, Spyretta Golemati, et al. · Ultrasound in Medicine & Biology · 95
Computer Vision-Based Carbohydrate Estimation for Type 1 Patients With Diabetes Using Smartphones
2015 · Marios Anthimopoulos, Joachim Dehais, et al. · Journal of Diabetes Science and Technology · 94
A Comparative Study on Carbohydrate Estimation: GoCARB vs. Dietitians
2018 · Maria F. Vasiloglou, Stavroula Mougiakakou, et al. · Nutrients · 93
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Food Recognition for Dietary Assessment Using Deep Convolutional Neural Networks
2015 · Stergios Christodoulidis, Marios Anthimopoulos, et al. · Lecture notes in computer science · 89
An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients
2020 · Ya Lu, Thomai Stathopoulou, et al. · IEEE Transactions on Multimedia · 83
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Model-Free Machine Learning in Biomedicine: Feasibility Study in Type 1 Diabetes
2016 · Elena Daskalaki, Peter Diem, et al. · PLoS ONE · 82
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An Insulin Infusion Advisory System Based on Autotuning Nonlinear Model-Predictive Control
2011 · K. Zarkogianni, A. Vazeou, et al. · IEEE Transactions on Biomedical Engineering · 80
Neural Network based Glucose - Insulin Metabolism Models for Children with Type 1 Diabetes
2006 · Stavroula G. Mougiakakou, Aikaterini Prountzou, et al. · Conference proceedings · 78
U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep Nets
2019 · Théo Estienne, Maria Vakalopoulou, et al. · Lecture notes in computer science · 77
Real-Time Adaptive Models for the Personalized Prediction of Glycemic Profile in Type 1 Diabetes Patients
2011 · Elena Daskalaki, Aikaterini Prountzou, et al. · Diabetes Technology & Therapeutics · 77
Artificial intelligence in healthcare: applications, challenges, and future directions. A narrative review informed by international, multidisciplinary expertise
2025 · Ata Mohajer-Bastami, Sarah Moin, et al. · Frontiers in Digital Health · 74
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Works count: 175
Citation count: 6,365
H-index: 40
I10-index: 83
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