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Stavroula G. Mougiakakou
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2020 – today
- 2024
- [j18]Matthias Fontanellaz
, Andreas Christe
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: 25642-25656 (2024) - [c35]Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Stavroula G. Mougiakakou:
A SAM Based Tool for Semi-Automatic Food Annotation. ECAI 2024: 4475-4478 - [i15]Lorenzo Brigato, Stavroula G. Mougiakakou:
Tune without Validation: Searching for Learning Rate and Weight Decay on Training Sets. CoRR abs/2403.05532 (2024) - 2023
- [c34]Maria Panagiotou, Ioannis Papathanail, Lubnaa Abdur Rahman, Lorenzo Brigato, Natalie S. Bez, Maria F. Vasiloglou
A Complete AI-Based System for Dietary Assessment and Personalized Insulin Adjustment in Type 1 Diabetes Self-management. CAIP (2) 2023: 77-86 - [c33]Lorenzo Brigato, Stavroula G. Mougiakakou:
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets. ICCV (Workshops) 2023: 139-148 - [c32]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: 2626-2635 - [c31]Lubnaa Abdur Rahman
A Comparative Analysis of Sensor-, Geometry-, and Neural-Based Methods for Food Volume Estimation. MADiMa@MM 2023: 21-29 - [c30]Stavroula G. Mougiakakou
MADiMa '23: 8th International Workshop on Multimedia Assisted Dietary Management. ACM Multimedia 2023: 9726-9727 - [e4]Stavroula G. Mougiakakou, Keiji Yanai, Dario Allegra:
Proceedings of the 8th International Workshop on Multimedia Assisted Dietary Management, MADiMa 2023, Ottawa, ON, Canada, 29 October 2023. ACM 2023 [contents] - [i14]Lubnaa Abdur Rahman, Ioannis Papathanail, Lorenzo Brigato, Elias K. Spanakis, Stavroula G. Mougiakakou:
Food Recognition and Nutritional Apps. CoRR abs/2307.05372 (2023) - [i13]Lorenzo Brigato, Stavroula G. Mougiakakou:
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets. CoRR abs/2309.01694 (2023) - [i12]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 abs/2309.01740 (2023) - 2022
- [c29]Yoko Yamakata, Stavroula G. Mougiakakou, Ramesh C. Jain:
CEA++2022 Panel - Toward Building a Global Food Network. CEA++@MM 2022: 59-60 - [c28]Stavroula G. Mougiakakou, Giovanni Maria Farinella, Keiji Yanai, Dario Allegra:
MADiMa'22: 7th International Workshop on Multimedia Assisted Dietary Management. ACM Multimedia 2022: 7414-7415 - [e3]Stavroula G. Mougiakakou, Giovanni Maria Farinella, Keiji Yanai, Dario Allegra:
Proceedings of the 7th International Workshop on Multimedia Assisted Dietary Management, MADiMa 2022, Lisboa, Portugal, 10 October 2022. ACM 2022, ISBN 978-1-4503-9502-1 [contents] - 2021
- [j17]Ya Lu, Thomai Stathopoulou, Maria F. Vasiloglou
An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients. IEEE Trans. Multim. 23: 1136-1147 (2021) - 2020
- [j16]Ya Lu
goFOODTM: An Artificial Intelligence System for Dietary Assessment. Sensors 20(15): 4283 (2020) - [c27]Ioannis Papathanail, Ya Lu, Arindam Ghosh, Stavroula G. Mougiakakou:
Food Recognition in the Presence of Label Noise. ICPR Workshops (5) 2020: 617-628 - [c26]Ya Lu, Thomai Stathopoulou, Stavroula G. Mougiakakou:
Partially Supervised Multi-Task Network for Single-View Dietary Assessment. ICPR 2020: 8156-8163 - [i11]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 abs/2003.08273 (2020) - [i10]Ya Lu, Thomai Stathopoulou, Stavroula G. Mougiakakou:
Partially Supervised Multi-Task Network for Single-View Dietary Assessment. CoRR abs/2008.00818 (2020)
2010 – 2019
- 2019
- [j15]Marios Anthimopoulos
Semantic Segmentation of Pathological Lung Tissue With Dilated Fully Convolutional Networks. IEEE J. Biomed. Health Informatics 23(2): 714-722 (2019) - [j14]Qingnan Sun
A Dual Mode Adaptive Basal-Bolus Advisor Based on Reinforcement Learning. IEEE J. Biomed. Health Informatics 23(6): 2633-2641 (2019) - [c25]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: 3609-3612 - [c24]Ya Lu, Thomai Stathopoulou, Maria F. Vasiloglou
An Artificial Intelligence-Based System for Nutrient Intake Assessment of Hospitalised Patients. EMBC 2019: 5696-5699 - [c23]Maria Vakalopoulou, Stergios Christodoulidis
Image Registration of Satellite Imagery with Deep Convolutional Neural Networks. IGARSS 2019: 4939-4942 - [c22]Théo Estienne, Maria Vakalopoulou, Stergios Christodoulidis
U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep Nets. MICCAI (3) 2019: 310-319 - [c21]Matthias Fontanellaz, Stergios Christodoulidis
Self-Attention and Ingredient-Attention Based Model for Recipe Retrieval from Image Queries. MADiMa @ ACM Multimedia 2019: 25-31 - [c20]Stavroula G. Mougiakakou, Giovanni Maria Farinella
MADiMA'19: 5th International Workshop on Multimedia Assisted Dietary Management. ACM Multimedia 2019: 2722-2723 - [e2]Stavroula G. Mougiakakou, Giovanni Maria Farinella, Keiji Yanai:
Proceedings of the 5th International Workshop on Multimedia Assisted Dietary Management, MADiMa @ ACM Multimedia 2019, Nice, France, October 21-25, 2019. ACM 2019, ISBN 978-1-4503-6916-9 [contents] - [i9]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 abs/1901.01816 (2019) - [i8]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 abs/1906.02990 (2019) - [i7]Matthias Fontanellaz, Stergios Christodoulidis, Stavroula G. Mougiakakou:
Self-Attention and Ingredient-Attention Based Model for Recipe Retrieval from Image Queries. CoRR abs/1911.01770 (2019) - 2018
- [c19]Ya Lu, Dario Allegra
A multi-task learning approach for meal assessment. MADiMa@IJCAI 2018: 46-52 - [c18]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: 13-22 - [i6]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 abs/1803.06167 (2018) - [i5]Ya Lu, Dario Allegra, Marios Anthimopoulos, Filippo Stanco, Giovanni Maria Farinella, Stavroula G. Mougiakakou:
A Multi-Task Learning Approach for Meal Assessment. CoRR abs/1806.10343 (2018) - [i4]Qingnan Sun, Marko V. Jankovic, Lia Bally, Stavroula G. Mougiakakou:
Predicting Blood Glucose with an LSTM and Bi-LSTM Based Deep Neural Network. CoRR abs/1809.03817 (2018) - [i3]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 abs/1809.06226 (2018) - 2017
- [j13]Stergios Christodoulidis
Multisource Transfer Learning With Convolutional Neural Networks for Lung Pattern Analysis. IEEE J. Biomed. Health Informatics 21(1): 76-84 (2017) - [j12]Stavroula G. Mougiakakou, Giovanni Maria Farinella
Guest Editorial Nutrition Informatics: From Food Monitoring to Dietary Management. IEEE J. Biomed. Health Informatics 21(3): 585-587 (2017) - [j11]Joachim Dehais
Two-View 3D Reconstruction for Food Volume Estimation. IEEE Trans. Multim. 19(5): 1090-1099 (2017) - [c17]Fernando García-García
Prognosis of Abdominal Aortic Aneurysms: A Machine Learning-Enabled Approach Merging Clinical, Morphometric, Biomechanical and Texture Information. CBMS 2017: 463-468 - [c16]Dario Allegra
A Multimedia Database for Automatic Meal Assessment Systems. ICIAP Workshops 2017: 471-478 - [i2]Joachim Dehais, Marios Anthimopoulos, Sergey Shevchik, Stavroula G. Mougiakakou:
Two-view 3D Reconstruction for Food Volume Estimation. CoRR abs/1701.03330 (2017) - 2016
- [j10]Marios Anthimopoulos, Stergios Christodoulidis
Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network. IEEE Trans. Medical Imaging 35(5): 1207-1216 (2016) - [c15]Joachim Dehais, Marios Anthimopoulos, Stavroula G. Mougiakakou:
Food Image Segmentation for Dietary Assessment. MADiMa @ ACM Multimedia 2016: 23-28 - [c14]Marios Anthimopoulos, Joachim Dehais, Stavroula G. Mougiakakou:
Performance Evaluation Methods of Computer Vision Systems for Meal Assessment. MADiMa @ ACM Multimedia 2016: 83-87 - [c13]Joachim Dehais, Marios Anthimopoulos, Stavroula G. Mougiakakou:
GoCARB: A Smartphone Application for Automatic Assessment of Carbohydrate Intake. MADiMa @ ACM Multimedia 2016: 91 - [c12]Stavroula G. Mougiakakou, Giovanni Maria Farinella
Overview of the ACM MultiMedia 2016 International Workshop on Multimedia Assisted Dietary Management. ACM Multimedia 2016: 1489-1490 - [e1]Stavroula G. Mougiakakou, Giovanni Maria Farinella, Keiji Yanai:
Proceedings of the 2nd International Workshop on Multimedia Assisted Dietary Management, MADiMa @ ACM Multimedia 2016, Amsterdam, The Netherlands, October 16, 2016. ACM 2016, ISBN 978-1-4503-4520-0 [contents] - [i1]Stergios Christodoulidis, Marios Anthimopoulos, Lukas Ebner, Andreas Christe, Stavroula G. Mougiakakou:
Multi-source Transfer Learning with Convolutional Neural Networks for Lung Pattern Analysis. CoRR abs/1612.02589 (2016) - 2015
- [c11]Joachim Dehais, Marios Anthimopoulos, Stavroula G. Mougiakakou:
Dish Detection and Segmentation for Dietary Assessment on Smartphones. ICIAP Workshops 2015: 433-440 - [c10]Stergios Christodoulidis
Food Recognition for Dietary Assessment Using Deep Convolutional Neural Networks. ICIAP Workshops 2015: 458-465 - 2014
- [j9]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): 1261-1271 (2014) - [c9]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: 4843-4846 - [c8]Marios Anthimopoulos, Stergios Christodoulidis
Classification of interstitial lung disease patterns using local DCT features and random forest. EMBC 2014: 6040-6043 - 2013
- [j8]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): 116-125 (2013) - [c7]Marios Anthimopoulos, Joachim Dehais
Segmentation and recognition of multi-food meal images for carbohydrate counting. BIBE 2013: 1-4 - [c6]Joachim Dehais
Food volume computation for self dietary assessment applications. BIBE 2013: 1-4 - [c5]Eleni I. Georga
Short-term vs. long-term analysis of diabetes data: Application of machine learning and data mining techniques. BIBE 2013: 1-4 - [c4]Elena Daskalaki, Peter Diem, Stavroula G. Mougiakakou:
Personalized tuning of a reinforcement learning control algorithm for glucose regulation. EMBC 2013: 3487-3490 - 2011
- [j7]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): 2467-2477 (2011) - 2010
- [j6]Ioannis K. Valavanis, Stavroula G. Mougiakakou, Keith A. Grimaldi
A multifactorial analysis of obesity as CVD risk factor: Use of neural network based methods in a nutrigenetics context. BMC Bioinform. 11: 453 (2010) - [j5]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): 386-402 (2010) - [j4]Stavroula G. Mougiakakou, Christos S. Bartsocas, Evangelos Bozas, Nikos Chaniotakis
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): 622-633 (2010)
2000 – 2009
- 2009
- [j3]Stavroula G. Mougiakakou, Ioannis K. Valavanis, Nicolaos A. Mouravliansky, Konstantina S. Nikita
DIAGNOSIS: A Telematics-Enabled System for Medical Image Archiving, Management, and Diagnosis Assistance. IEEE Trans. Instrum. Meas. 58(7): 2113-2120 (2009) - 2008
- [c3]Ioannis K. Valavanis, Stavroula G. Mougiakakou, Stathis Marinos, George Karkalis, Keith A. Grimaldi
Gene - nutrition interactions in the onset of obesity as Cardiovascular Disease risk factor based on a computational intelligence method. BIBE 2008: 1-6 - 2007
- [j2]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): 25-37 (2007) - 2006
- [c2]Stavroula G. Mougiakakou, Aikaterini Prountzou, Dimitra Iliopoulou, Konstantina S. Nikita
Neural Network based Glucose - Insulin Metabolism Models for Children with Type 1 Diabetes. EMBC 2006: 3545-3548 - [c1]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: 705-712 - 2003
- [j1]Miltos Gletsos, Stavroula G. Mougiakakou, George K. Matsopoulos, Konstantina S. Nikita
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): 153-162 (2003)
Coauthor Index
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