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Stavroula G. Mougiakakou

Stavroula G. Mougiakakou

D-Index & Metrics

Computer Science

D-Index
37
Citations
6057
World Ranking
10729
National Ranking
188

Overview

Stavroula G. Mougiakakou is affiliated with the University of Bern in Switzerland, focusing primarily on medicine with an emphasis on various subfields such as public health, environmental and occupational health, radiology, nuclear medicine and imaging, endocrinology, diabetes and metabolism, biomedical engineering, and pulmonary and respiratory medicine.

Their research portfolio encompasses a range of topics, including nutritional studies and diet, diabetes management and research, advanced chemical sensor technologies, mobile health and mHealth applications, COVID-19 diagnosis using artificial intelligence, radiomics and machine learning in medical imaging, and diet and metabolism studies.

Among recent publications, several notable papers include:

  • goFOODTM: An Artificial Intelligence System for Dietary Assessment, 2020, Sensors
  • An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients, 2020, IEEE Transactions on Multimedia
  • What Healthcare Professionals Think of "Nutrition & Diet" Apps: An International Survey, 2020, Nutrients
  • Meta-analysis of the radiological and clinical features of Usual Interstitial Pneumonia (UIP) and Nonspecific Interstitial Pneumonia (NSIP), 2020, PLoS ONE
  • Perspectives and Preferences of Adult Smartphone Users Regarding Nutrition and Diet Apps: Web-Based Survey Study, 2021, JMIR mhealth and uhealth

Frequent co-authors collaborating with Mougiakakou include:

  • Lorenzo Brigato
  • Ioannis Papathanail
  • Thomai Stathopoulou
  • Maria F. Vasiloglou
  • Ya Lu

Publication outlets where Mougiakakou has contributed extensively include:

  • arXiv (Cornell University)
  • Nutrients
  • Investigative Radiology
  • JMIR mhealth and uhealth
  • IEEE Access

Overall, Stavroula G. Mougiakakou's work integrates interdisciplinary approaches within medicine, combining artificial intelligence, nutritional science, and medical imaging techniques to address challenges in disease management and health monitoring.

Best Publications

  • Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network

    Marios Anthimopoulos;Stergios Christodoulidis;Lukas Ebner;Andreas Christe

  • A computer-aided diagnostic system to characterize CT focal liver lesions: design and optimization of a neural network classifier

    M. Gletsos;S.G. Mougiakakou;G.K. Matsopoulos;K.S. Nikita

  • Multisource Transfer Learning With Convolutional Neural Networks for Lung Pattern Analysis.

    Stergios Christodoulidis;Marios Anthimopoulos;Lukas Ebner;Andreas Christe

  • A food recognition system for diabetic patients based on an optimized bag-of-features model

    Marios M. Anthimopoulos;Lauro Gianola;Luca Scarnato;Peter Diem

  • Predicting Blood Glucose with an LSTM and Bi-LSTM Based Deep Neural Network

    Qingnan Sun;Marko V. Jankovic;Lia Bally;Stavroula G. Mougiakakou

  • Computer aided diagnosis based on medical image processing and artificial intelligence methods

    John Stoitsis;Ioannis Valavanis;Stavroula G. Mougiakakou;Spyretta Golemati

  • Differential diagnosis of CT focal liver lesions using texture features, feature selection and ensemble driven classifiers

    Stavroula G. Mougiakakou;Ioannis K. Valavanis;Alexandra Nikita;Konstantina S. Nikita

  • Two-View 3D Reconstruction for Food Volume Estimation

    Joachim Dehais;Marios Anthimopoulos;Sergey Shevchik;Stavroula Mougiakakou

  • Computer-Aided Diagnosis of Pulmonary Fibrosis Using Deep Learning and CT Images.

    Andreas Christe;Alan Arthur Peters;Dionysios Drakopoulos;Johannes Heverhagen

  • SMARTDIAB: A Communication and Information Technology Approach for the Intelligent Monitoring, Management and Follow-up of Type 1 Diabetes Patients

    Stavroula G Mougiakakou;Christos S Bartsocas;Evangelos Bozas;Nikos Chaniotakis

  • Multi-source Transfer Learning with Convolutional Neural Networks for Lung Pattern Analysis

    Stergios Christodoulidis;Marios Anthimopoulos;Lukas Ebner;Andreas Christe

  • Computer-aided diagnosis of carotid atherosclerosis based on ultrasound image statistics, laws' texture and neural networks

    Stavroula G R Mougiakakou;Spyretta Golemati;Ioannis Gousias;Andrew N Nicolaides

  • Carbohydrate Estimation by a Mobile Phone-Based System Versus Self-Estimations of Individuals With Type 1 Diabetes Mellitus: A Comparative Study.

    Daniel Kaspar Rhyner;Hannah Loher;Joachim Blaise Dehais;Marios Anthimopoulos

  • An Insulin Infusion Advisory System Based on Autotuning Nonlinear Model-Predictive Control

    K. Zarkogianni;A. Vazeou;S. G. Mougiakakou;A. Prountzou

  • Semantic Segmentation of Pathological Lung Tissue With Dilated Fully Convolutional Networks

    Marios Anthimopoulos;Stergios Christodoulidis;Lukas Ebner;Thomas Geiser

  • Neural network based glucose - insulin metabolism models for children with Type 1 diabetes.

    Stavroula G. Mougiakakou;Aikaterini Prountzou;Dimitra Iliopoulou;Konstantina S. Nikita

  • Computer Vision-Based Carbohydrate Estimation for Type 1 Patients With Diabetes Using Smartphones:

    Marios Anthimopoulos;Joachim Dehais;Sergey Shevchik;Botwey H. Ransford

  • Food Recognition for Dietary Assessment Using Deep Convolutional Neural Networks

    Stergios Christodoulidis;Marios Anthimopoulos;Stavroula G. Mougiakakou

  • goFOODTM: An Artificial Intelligence System for Dietary Assessment.

    Ya Lu;Thomai Stathopoulou;Maria F. Vasiloglou;Lillian F. Pinault

  • Real-time adaptive models for the personalized prediction of glycemic profile in type 1 diabetes patients.

    Elena Daskalaki;Aikaterini Prountzou;Peter Diem;Stavroula G Mougiakakou

  • An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients

    Ya Lu;Thomai Stathopoulou;Maria F. Vasiloglou;Stergios Christodoulidis

  • Model-Free Machine Learning in Biomedicine: Feasibility Study in Type 1 Diabetes

    Elena Daskalaki;Peter Diem;Stavroula G. Mougiakakou

  • Segmentation and recognition of multi-food meal images for carbohydrate counting

    Marios Anthimopoulos;Joachim Dehais;Peter Diem;Stavroula Mougiakakou

Frequent Co-Authors

Konstantina S. Nikita
Konstantina S. Nikita National Technical University of Athens
Giovanni Maria Farinella
Giovanni Maria Farinella University of Catania
Nikos Paragios
Nikos Paragios CentraleSupélec
Paul Cumming
Paul Cumming Queensland University of Technology
Constantinos S. Pattichis
Constantinos S. Pattichis University of Cyprus
Andreas Pitsillides
Andreas Pitsillides University of Cyprus
Dimitrios I. Fotiadis
Dimitrios I. Fotiadis University of Ioannina
Edward Sazonov
Edward Sazonov University of Alabama

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