Stavroula G. Mougiakakou

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 47

Top Topics

Deformable Image Registration

Interstitial Lung

Convolutional Neural Networks

Top Venues

IEEE J. Biomed. Health Informatics

MADiMa @ ACM Multimedia

Publications

Lorenzo Brigato, Stavroula G. Mougiakakou
Tune without Validation: Searching for Learning Rate and Weight Decay on Training Sets. CoRR (2024)
Matthias Fontanellaz, Andreas Christe, Stergios Christodoulidis, Ethan Dack, Justus Roos, D. Drakopoulos, D. Sieron, Alan Peters, Thomas Geiser, Manuela Funke-Chambour, J. Heverhagen, Hanno Hoppe, Aristomenis Exadaktylos, Lukas Ebner, Stavroula G. Mougiakakou
Computer-Aided Diagnosis System for Lung Fibrosis: From the Effect of Radiomic Features and Multi-Layer-Perceptron Mixers to Pre-Clinical Evaluation. IEEE Access 12 (2024)
Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Stavroula G. Mougiakakou
A Comparative Analysis of Sensor-, Geometry-, and Neural-Based Methods for Food Volume Estimation. MADiMa@MM (2023)
Ethan Dack, Lorenzo Brigato, Matthew McMurray, Matthias Fontanellaz, Thomas Frauenfelder, Hanno Hoppe, Aristomenis Exadaktylos, Thomas Geiser, Manuela Funke-Chambour, Andreas Christe, Lukas Ebner, Stavroula G. Mougiakakou
An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports. CoRR (2023)
Maria Panagiotou, Ioannis Papathanail, Lubnaa Abdur Rahman, Lorenzo Brigato, Natalie S. Bez, Maria F. Vasiloglou, Thomai Stathopoulou, Bastiaan E. de Galan, Ulrik Pedersen-Bjergaard, Klazine van der Horst, Stavroula G. Mougiakakou
A Complete AI-Based System for Dietary Assessment and Personalized Insulin Adjustment in Type 1 Diabetes Self-management. CAIP (2) (2023)
Lorenzo Brigato, Stavroula G. Mougiakakou
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets. ICCV (Workshops) (2023)
Lorenzo Brigato, Stavroula G. Mougiakakou
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets. CoRR (2023)
Stavroula G. Mougiakakou, Keiji Yanai, Dario Allegra
MADiMa '23: 8th International Workshop on Multimedia Assisted Dietary Management. ACM Multimedia (2023)
Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Elias K. Spanakis, Stavroula G. Mougiakakou
Food Recognition and Nutritional Apps. CoRR (2023)
Ethan Dack, Lorenzo Brigato, Matthew McMurray, Matthias Fontanellaz, Thomas Frauenfelder, Hanno Hoppe, Aristomenis Exadaktylos, Thomas Geiser, Manuela Funke-Chambour, Andreas Christe, Lukas Ebner, Stavroula G. Mougiakakou
An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports. ICCV (Workshops) (2023)
Yoko Yamakata, Stavroula G. Mougiakakou, Ramesh Jain
CEA++2022 Panel - Toward Building a Global Food Network. CEA++@MM (2022)
Stavroula G. Mougiakakou, Giovanni Maria Farinella, Keiji Yanai, Dario Allegra
MADiMa'22: 7th International Workshop on Multimedia Assisted Dietary Management. ACM Multimedia (2022)
Ya Lu, Thomai Stathopoulou, Maria F. Vasiloglou, Stergios Christodoulidis, Zeno Stanga, Stavroula G. Mougiakakou
An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients. IEEE Trans. Multim. 23 (2021)
Ioannis Papathanail, Ya Lu, Arindam Ghosh, Stavroula G. Mougiakakou
Food Recognition in the Presence of Label Noise. ICPR Workshops (5) (2020)
Ya Lu, Thomai Stathopoulou, Maria F. Vasiloglou, Lillian F. Pinault, Colleen Kiley, Elias K. Spanakis, Stavroula G. Mougiakakou
goFOODTM: An Artificial Intelligence System for Dietary Assessment. Sensors 20 (15) (2020)
Ya Lu, Thomai Stathopoulou, Stavroula G. Mougiakakou
Partially Supervised Multi-Task Network for Single-View Dietary Assessment. ICPR (2020)
Ya Lu, Thomai Stathopoulou, Maria F. Vasiloglou, Stergios Christodoulidis, Zeno Stanga, Stavroula G. Mougiakakou
An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients. CoRR (2020)
Ya Lu, Thomai Stathopoulou, Stavroula G. Mougiakakou
Partially Supervised Multi-Task Network for Single-View Dietary Assessment. CoRR (2020)
Matthias Fontanellaz, Stergios Christodoulidis, Stavroula G. Mougiakakou
Self-Attention and Ingredient-Attention Based Model for Recipe Retrieval from Image Queries. CoRR (2019)
Ya Lu, Thomai Stathopoulou, Maria F. Vasiloglou, Stergios Christodoulidis, Beat Blum, Thomas Walser, Vinzenz Meier, Zeno Stanga, Stavroula G. Mougiakakou
An Artificial Intelligence-Based System for Nutrient Intake Assessment of Hospitalised Patients. EMBC (2019)
Matthias Fontanellaz, Stergios Christodoulidis, Stavroula G. Mougiakakou
Self-Attention and Ingredient-Attention Based Model for Recipe Retrieval from Image Queries. MADiMa @ ACM Multimedia (2019)
Maria Vakalopoulou, Stergios Christodoulidis, Mihir Sahasrabudhe, Stavroula G. Mougiakakou, Nikos Paragios
Image Registration of Satellite Imagery with Deep Convolutional Neural Networks. IGARSS (2019)
Ya Lu, Thomai Stathopoulou, Maria F. Vasiloglou, Stergios Christodoulidis, Beat Blum, Thomas Walser, Vinzenz Meier, Zeno Stanga, Stavroula G. Mougiakakou
An Artificial Intelligence-Based System for Nutrient Intake Assessment of Hospitalised Patients. CoRR (2019)
Stavroula G. Mougiakakou, Giovanni Maria Farinella, Keiji Yanai, Dario Allegra
MADiMA'19: 5th International Workshop on Multimedia Assisted Dietary Management. ACM Multimedia (2019)
Marios Anthimopoulos, Stergios Christodoulidis, Lukas Ebner, Thomas Geiser, Andreas Christe, Stavroula G. Mougiakakou
Semantic Segmentation of Pathological Lung Tissue With Dilated Fully Convolutional Networks. IEEE J. Biomed. Health Informatics 23 (2) (2019)
Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis, Enzo Battistella, Marvin Lerousseau, Alexandre Carre, Guillaume Klausner, Roger Sun, Charlotte Robert, Stavroula G. Mougiakakou, Nikos Paragios, Eric Deutsch
U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep Nets. MICCAI (3) (2019)
Qingnan Sun, Marko V. Jankovic, Stavroula G. Mougiakakou
Reinforcement Learning-Based Adaptive Insulin Advisor for Individuals with Type 1 Diabetes Patients under Multiple Daily Injections Therapy. EMBC (2019)
Qingnan Sun, Marko V. Jankovic, João Budzinski, Brett L. Moore, Peter Diem, Christoph Stettler, Stavroula G. Mougiakakou
A dual mode adaptive basal-bolus advisor based on reinforcement learning. CoRR (2019)
Qingnan Sun, Marko V. Jankovic, João Budzinski, Brett L. Moore, Peter Diem, Christoph Stettler, Stavroula G. Mougiakakou
A Dual Mode Adaptive Basal-Bolus Advisor Based on Reinforcement Learning. IEEE J. Biomed. Health Informatics 23 (6) (2019)
Ya Lu, Dario Allegra, Marios Anthimopoulos, Filippo Stanco, Giovanni Maria Farinella, Stavroula G. Mougiakakou
A Multi-Task Learning Approach for Meal Assessment. CoRR (2018)
Stergios Christodoulidis, Mihir Sahasrabudhe, Maria Vakalopoulou, Guillaume Chassagnon, Marie-Pierre Revel, Stavroula G. Mougiakakou, Nikos Paragios
Linear and Deformable Image Registration with 3D Convolutional Neural Networks. CoRR (2018)
Stergios Christodoulidis, Mihir Sahasrabudhe, Maria Vakalopoulou, Guillaume Chassagnon, Marie-Pierre Revel, Stavroula G. Mougiakakou, Nikos Paragios
Linear and Deformable Image Registration with 3D Convolutional Neural Networks. RAMBO+BIA+TIA@MICCAI (2018)
Qingnan Sun, Marko V. Jankovic, Lia Bally, Stavroula G. Mougiakakou
Predicting Blood Glucose with an LSTM and Bi-LSTM Based Deep Neural Network. CoRR (2018)
Marios Anthimopoulos, Stergios Christodoulidis, Lukas Ebner, Thomas Geiser, Andreas Christe, Stavroula G. Mougiakakou
Semantic Segmentation of Pathological Lung Tissue with Dilated Fully Convolutional Networks. CoRR (2018)
Ya Lu, Dario Allegra, Marios Anthimopoulos, Filippo Stanco, Giovanni Maria Farinella, Stavroula G. Mougiakakou
A multi-task learning approach for meal assessment. MADiMa@IJCAI (2018)
Dario Allegra, Marios Anthimopoulos, Joachim Dehais, Ya Lu, Filippo Stanco, Giovanni Maria Farinella, Stavroula G. Mougiakakou
A Multimedia Database for Automatic Meal Assessment Systems. ICIAP Workshops (2017)
Stergios Christodoulidis, Marios Anthimopoulos, Lukas Ebner, Andreas Christe, Stavroula G. Mougiakakou
Multisource Transfer Learning With Convolutional Neural Networks for Lung Pattern Analysis. IEEE J. Biomed. Health Informatics 21 (1) (2017)
Stavroula G. Mougiakakou, Giovanni Maria Farinella, Keiji Yanai, Edward Sazonov
Guest Editorial Nutrition Informatics: From Food Monitoring to Dietary Management. IEEE J. Biomed. Health Informatics 21 (3) (2017)
Fernando Garcia-Garcia, Eleni Metaxa, Stergios Christodoulidis, Marios Anthimopoulos, Nikolaos Kontopodis, Martina Correa-Londono, Thomas R. Wyss, Yannis Papaharilaou, Christos V. Ioannou, Hendrik von Tengg-Kobligk, Stavroula G. Mougiakakou
Prognosis of Abdominal Aortic Aneurysms: A Machine Learning-Enabled Approach Merging Clinical, Morphometric, Biomechanical and Texture Information. CBMS (2017)
Joachim Dehais, Marios Anthimopoulos, Sergey Shevchik, Stavroula G. Mougiakakou
Two-view 3D Reconstruction for Food Volume Estimation. CoRR (2017)
Joachim Dehais, Marios Anthimopoulos, Sergey Shevchik, Stavroula G. Mougiakakou
Two-View 3D Reconstruction for Food Volume Estimation. IEEE Trans. Multim. 19 (5) (2017)
Stergios Christodoulidis, Marios Anthimopoulos, Lukas Ebner, Andreas Christe, Stavroula G. Mougiakakou
Multi-source Transfer Learning with Convolutional Neural Networks for Lung Pattern Analysis. CoRR (2016)
Joachim Dehais, Marios Anthimopoulos, Stavroula G. Mougiakakou
Food Image Segmentation for Dietary Assessment. MADiMa @ ACM Multimedia (2016)
Marios Anthimopoulos, Stergios Christodoulidis, Lukas Ebner, Andreas Christe, Stavroula G. Mougiakakou
Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network. IEEE Trans. Medical Imaging 35 (5) (2016)
Joachim Dehais, Marios Anthimopoulos, Stavroula G. Mougiakakou
GoCARB: A Smartphone Application for Automatic Assessment of Carbohydrate Intake. MADiMa @ ACM Multimedia (2016)
Stavroula G. Mougiakakou, Giovanni Maria Farinella, Keiji Yanai
Overview of the ACM MultiMedia 2016 International Workshop on Multimedia Assisted Dietary Management. ACM Multimedia (2016)
Marios Anthimopoulos, Joachim Dehais, Stavroula G. Mougiakakou
Performance Evaluation Methods of Computer Vision Systems for Meal Assessment. MADiMa @ ACM Multimedia (2016)
Joachim Dehais, Marios Anthimopoulos, Stavroula G. Mougiakakou
Dish Detection and Segmentation for Dietary Assessment on Smartphones. ICIAP Workshops (2015)
Stergios Christodoulidis, Marios Anthimopoulos, Stavroula G. Mougiakakou
Food Recognition for Dietary Assessment Using Deep Convolutional Neural Networks. ICIAP Workshops (2015)
Marios Anthimopoulos, Lauro Gianola, Luca Scarnato, Peter Diem, Stavroula G. Mougiakakou
A Food Recognition System for Diabetic Patients Based on an Optimized Bag-of-Features Model. IEEE J. Biomed. Health Informatics 18 (4) (2014)
Marios Anthimopoulos, Stergios Christodoulidis, Andreas Christe, Stavroula G. Mougiakakou
Classification of interstitial lung disease patterns using local DCT features and random forest. EMBC (2014)
Ransford Henry Botwey, Elena Daskalaki, Peter Diem, Stavroula G. Mougiakakou
Multi-model data fusion to improve an early warning system for hypo-/hyperglycemic events. EMBC (2014)
Eleni I. Georga, Vasilios C. Protopappas, Stavroula G. Mougiakakou, Dimitrios I. Fotiadis
Short-term vs. long-term analysis of diabetes data: Application of machine learning and data mining techniques. BIBE (2013)
Elena Daskalaki, Peter Diem, Stavroula G. Mougiakakou
Personalized tuning of a reinforcement learning control algorithm for glucose regulation. EMBC (2013)
Marios Anthimopoulos, Joachim Dehais, Peter Diem, Stavroula G. Mougiakakou
Segmentation and recognition of multi-food meal images for carbohydrate counting. BIBE (2013)
Elena Daskalaki, Peter Diem, Stavroula G. Mougiakakou
An Actor-Critic based controller for glucose regulation in type 1 diabetes. Comput. Methods Programs Biomed. 109 (2) (2013)
Joachim Dehais, Sergey Shevchik, Peter Diem, Stavroula G. Mougiakakou
Food volume computation for self dietary assessment applications. BIBE (2013)
Konstantia Zarkogianni, Andriani Vazeou, Stavroula G. Mougiakakou, Aikaterini Prountzou, Konstantina S. Nikita
An Insulin Infusion Advisory System Based on Autotuning Nonlinear Model-Predictive Control. IEEE Trans. Biomed. Eng. 58 (9) (2011)
Ioannis K. Valavanis, Stavroula G. Mougiakakou, Keith A. Grimaldi, Konstantina S. Nikita
A multifactorial analysis of obesity as CVD risk factor: Use of neural network based methods in a nutrigenetics context. BMC Bioinform. 11 (2010)
Stavroula G. Mougiakakou, Christos S. Bartsocas, Evangelos Bozas, Nikos Chaniotakis, Dimitra Iliopoulou, Ioannis N. Kouris, Sotiris Pavlopoulos, Aikaterini Prountzou, Marios Skevofilakas, Alexandre Tsoukalis, Kostas Varotsis, Andriani Vazeou, Konstantia Zarkogianni, Konstantina S. Nikita
SMARTDIAB: a communication and information technology approach for the intelligent monitoring, management and follow-up of type 1 diabetes patients. IEEE Trans. Inf. Technol. Biomed. 14 (3) (2010)
Ioannis N. Kouris, Stavroula G. Mougiakakou, Luca Scarnato, Dimitra Iliopoulou, Peter Diem, Andriani Vazeou, Dimitris Koutsouris
Mobile phone technologies and advanced data analysis towards the enhancement of diabetes self-management. Int. J. Electron. Heal. 5 (4) (2010)
Stavroula G. Mougiakakou, Ioannis K. Valavanis, Nicolaos A. Mouravliansky, Konstantina S. Nikita, Alexandra Nikita
DIAGNOSIS: A Telematics-Enabled System for Medical Image Archiving, Management, and Diagnosis Assistance. IEEE Trans. Instrum. Meas. 58 (7) (2009)
Ioannis K. Valavanis, Stavroula G. Mougiakakou, Stathis Marinos, George Karkalis, Keith A. Grimaldi, Rosalynn Gill, Konstantina S. Nikita
Gene - nutrition interactions in the onset of obesity as Cardiovascular Disease risk factor based on a computational intelligence method. BIBE (2008)
Stavroula G. Mougiakakou, Ioannis K. Valavanis, Alexandra Nikita, Konstantina S. Nikita
Differential diagnosis of CT focal liver lesions using texture features, feature selection and ensemble driven classifiers. Artif. Intell. Medicine 41 (1) (2007)
Stavroula G. Mougiakakou, Ioannis K. Valavanis, Alexandra Nikita, Konstantina S. Nikita
Computer Aided Diagnosis of CT Focal Liver Lesions based on Texture Features, Feature Selection and Ensembles of Classifiers. AIAI (2006)
Stavroula G. Mougiakakou, Aikaterini Prountzou, Dimitra Iliopoulou, Konstantina S. Nikita, Andriani Vazeou, Christos S. Bartsocas
Neural Network based Glucose - Insulin Metabolism Models for Children with Type 1 Diabetes. EMBC (2006)
Miltos Gletsos, Stavroula G. Mougiakakou, George K. Matsopoulos, Konstantina S. Nikita, A. S. Nikita, Dimitrios Kelekis
A computer-aided diagnostic system to characterize CT focal liver lesions: Design and optimization of a neural network classifier. IEEE Trans. Inf. Technol. Biomed. 7 (3) (2003)