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den Brok, Elisabeth J; Svensson, Cecilie H; Panagiotou, Maria; van Greevenbroek, Marleen M J; Mertens, Peter R; Vazeou, Andriani; Mitrakou, Asimina; Makrilakis, Konstantinos; Franssen, Gregor H L M; van Kuijk, Sander; Proennecke, Stephan; Mougiakakou, Stavroula; Pedersen-Bjergaard, Ulrik; de Galan, Bastiaan E (2024). The effect of bolus advisors on glycaemic parameters in adults with diabetes on intensive insulin therapy: A systematic review with meta-analysis. Diabetes, obesity & metabolism, 26(5), pp. 1950-1961. Wiley 10.1111/dom.15521
Papathanail, Ioannis; Abdur Rahman, Lubnaa; Brigato, Lorenzo; Bez, Natalie S; Vasiloglou, Maria F; van der Horst, Klazine; Mougiakakou, Stavroula (2023). The Nutritional Content of Meal Images in Free-Living Conditions-Automatic Assessment with goFOODTM. Nutrients, 15(17) MDPI 10.3390/nu15173835
Dack, Ethan; Christe, Andreas; Fontanellaz, Matthias; Brigato, Lorenzo; Heverhagen, Johannes T; Peters, Alan A; Huber, Adrian T; Hoppe, Hanno; Mougiakakou, Stavroula; Ebner, Lukas (2023). Artificial Intelligence and Interstitial Lung Disease: Diagnosis and Prognosis. Investigative radiology, 58(8), pp. 602-609. Wolters Kluwer Health 10.1097/RLI.0000000000000974
Vasiloglou, Maria F; Marcano, Isabel; Lizama, Sergio; Papathanail, Ioannis; Spanakis, Elias K; Mougiakakou, Stavroula (2023). Multimedia Data-Based Mobile Applications for Dietary Assessment. Journal of diabetes science and technology, 17(4), pp. 1056-1065. Sage 10.1177/19322968221085026
Klaus, Jeremias B; Christodoulidis, Stergios; Peters, Alan A; Hourscht, Cynthia; Loebelenz, Laura I; Munz, Jaro; Schroeder, Christophe; Sieron, Dominik; Drakopoulos, Dionysios; Stadler, Severin; Heverhagen, Johannes T; Prosch, Helmut; Huber, Adrian; Pohl, Moritz; Mougiakakou, Stavroula; Christe, Andreas; Ebner, Lukas (2023). Influence of Lung Reconstruction Algorithms on Interstitial Lung Pattern Recognition on CT. RöFo. Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren, 195(1), pp. 47-54. Thieme 10.1055/a-1901-7814
Hu, Jiaxi; Mougiakakou, Stavroula; Xue, Song; Afshar-Oromieh, Ali; Hautz, Wolf; Christe, Andreas; Sznitman, Raphael; Rominger, Axel; Ebner, Lukas; Shi, Kuangyu (2023). Artificial intelligence for reducing the radiation burden of medical imaging for the diagnosis of coronavirus disease. The European physical journal plus, 138(5), p. 391. Springer 10.1140/epjp/s13360-023-03745-4
Papathanail, Ioannis; Vasiloglou, Maria F; Stathopoulou, Thomai; Ghosh, Arindam; Baumann, Manuel; Faeh, David; Mougiakakou, Stavroula (2022). A feasibility study to assess Mediterranean Diet adherence using an AI-powered system. Scientific reports, 12(1), p. 17008. Springer Nature 10.1038/s41598-022-21421-y
Afshar-Oromieh, Ali; Prosch, Helmut; Schaefer-Prokop, Cornelia; Bohn, Karl Peter; Alberts, Ian; Mingels, Clemens; Thurnher, Majda; Cumming, Paul; Shi, Kuangyu; Peters, Alan; Geleff, Silvana; Lan, Xiaoli; Wang, Feng; Huber, Adrian; Gräni, Christoph; Heverhagen, Johannes T.; Rominger, Axel; Fontanellaz, Matthias; Schöder, Heiko; Christe, Andreas; ... (2021). A comprehensive review of imaging findings in COVID-19 - status in early 2021. European journal of nuclear medicine and molecular imaging, 48(8), pp. 2500-2524. Springer-Verlag 10.1007/s00259-021-05375-3
Vasiloglou, Maria F.; Christodoulidis, Stergios; Reber, Emilie; Stathopoulou, Thomai; Lu, Ya; Stanga, Zeno; Mougiakakou, Stavroula (2021). Perspectives and Preferences of Adult Smartphone Users Regarding Nutrition and Diet Apps: Web-Based Survey Study. JMIR mHealth and uHealth, 9(7), e27885. JMIR Publications 10.2196/27885
Vasiloglou, Maria F; van der Horst, Klazine; Stathopoulou, Thomai; Jaeggi, Michael; Tedde, Giulia; Lu, Ya; Mougiakakou, Stavroula (2021). The Human Factor in Automated Image-Based Nutrition Apps: Analysis of Common Mistakes Using the goFOOD Lite App. JMIR mHealth and uHealth, 9(1), e24467. JMIR Publications 10.2196/24467
Papathanail, Ioannis; Brühlmann, Jana; Vasiloglou, Maria F.; Stathopoulou, Thomai; Exadaktylos, Aristomenis K.; Stanga, Zeno; Münzer, Thomas; Mougiakakou, Stavroula (2021). Evaluation of a Novel Artificial Intelligence System to Monitor and Assess Energy and Macronutrient Intake in Hospitalised Older Patients. Nutrients, 13(12) MDPI 10.3390/nu13124539
Vasiloglou, Maria F.; Lu, Ya; Stathopoulou, Thomai; Papathanail, Ioannis; Faeh, David; Ghosh, Arindam; Baumann, Manuel; Mougiakakou, Stavroula (2020). Assessing Mediterranean Diet Adherence with the Smartphone: The Medipiatto Project. Nutrients, 12(12) MDPI 10.3390/nu12123763
Fontanellaz, Matthias Andreas; Ebner, Lukas; Huber, Adrian; Peters, Alan; Löbelenz, Laura; Hourscht, Cynthia; Klaus, Jeremias; Munz, Jaro; Ruder, Thomas; Drakopoulos, Dionysios; Sieron, Dominik; Primetis, Elias; Heverhagen, Johannes; Mougiakakou, Stavroula; Christe, Andreas (2020). A Deep-Learning Diagnostic Support System for the Detection of COVID-19 Using Chest Radiographs: A Multireader Validation Study. Investigative radiology, 56(6), pp. 348-356. Wolters Kluwer Health 10.1097/RLI.0000000000000748
Lu, Ya; Stathopoulou, Thomai; Vasiloglou, Maria F.; Pinault, Lillian; Kiley, Colleen; Spanakis, Elias; Mougiakakou, Stavroula (2020). goFOOD[TM]: An Artificial Intelligence System for Dietary Assessment. Sensors, 20(4283) MDPI https://doi.org/10.3390/s20154283
Vasiloglou, Maria F.; Christodoulidis, Stergios; Reber, Emilie; Stathopoulou, Thomai; Lu, Ya; Stanga, Zeno; Mougiakakou, Stavroula (2020). What Healthcare Professionals Think of “Nutrition & Diet” Apps: An International Survey. Nutrients, 12(8) MDPI 10.3390/nu12082214
Lu, Ya; Stathopoulou, Thomai; Vasiloglou, Maria F.; Christodoulidis, Stergios; Stanga, Zeno; Mougiakakou, Stavroula (2020). An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients. IEEE transactions on multimedia, 2019, pp. 5696-5699. Institute of Electrical and Electronics Engineers 10.1109/TMM.2020.2993948
Ebner, Lukas; Christodoulidis, Stergios; Stathopoulou, Thomai; Geiser, Thomas; Stalder, Odile; Limacher, Andreas; Heverhagen, Johannes; Mougiakakou, Stavroula; Christe, Andreas (2020). Meta-analysis of the radiological and clinical features of Usual Interstitial Pneumonia (UIP) and Nonspecific Interstitial Pneumonia (NSIP). PLoS ONE, 15(1), e0226084. Public Library of Science 10.1371/journal.pone.0226084
Sun, Qingnan; Jankovic, Marko; Budzinski, João; Moore, Brett; Diem, Peter; Stettler, Christoph; Mougiakakou, Stavroula (2019). A dual mode adaptive basal-bolus advisor based on reinforcement learning. IEEE journal of biomedical and health informatics, 23(6), pp. 2633-2641. Institute of Electrical and Electronics Engineers 10.1109/JBHI.2018.2887067
Christe, Andreas; Peters, Alan Arthur; Drakopoulos, Dionysios; Heverhagen, Johannes; Geiser, Thomas; Stathopoulou, Thomai; Christodoulidis, Stergios; Anthimopoulos, Marios; Mougiakakou, Stavroula; Ebner, Lukas (2019). Computer-Aided Diagnosis of Pulmonary Fibrosis Using Deep Learning and CT Images. Investigative radiology, 54(10), pp. 627-632. Wolters Kluwer Health 10.1097/RLI.0000000000000574
Heverhagen, Johannes; Ebner, Lukas; Mougiakakou, Stavroula; Dahlweid, Fried-Michael; Christe, Andreas (2019). Radiologie: Künstliche Intelligenz: die Radiologie im Wandel der Zeit. Swiss medical forum, 19(3-4), pp. 56-58. EMH Schweizerischer Ärzteverlag AG 10.4414/smf.2019.08035
Mougiakakou, Stavroula; Farinella, Giovanni; Yanai, Keiji; Sazonov, Edward (2017). Guest Editorial Nutrition Informatics: From Food Monitoring to Dietary Management. IEEE journal of biomedical and health informatics, 21(3), pp. 585-587. Institute of Electrical and Electronics Engineers 10.1109/JBHI.2017.2694938
Christodoulidis, Stergios; Anthimopoulos, Marios; Ebner, Lukas; Christe, Andreas; Mougiakakou, Stavroula (2017). Multi-source Transfer Learning with Convolutional Neural Networks for Lung Pattern Analysis. IEEE journal of biomedical and health informatics, 21(1), pp. 76-84. Institute of Electrical and Electronics Engineers 10.1109/JBHI.2016.2636929
Dehais, Joachim Blaise; Anthimopoulos, Marios; Shevchik, Sergey; Mougiakakou, Stavroula (2017). Two-view 3D Reconstruction for Food Volume Estimation. IEEE transactions on multimedia, 19(5), pp. 1090-1099. Institute of Electrical and Electronics Engineers 10.1109/TMM.2016.2642792
Bally, Lia; Dehais, Joachim Blaise; Nakas, Christos T.; Anthimopoulos, Marios; Laimer, Markus; Rhyner, Daniel Kaspar; Rosenberg, George; Züger, Thomas; Diem, Peter; Mougiakakou, Stavroula; Stettler, Christoph (2016). Carbohydrate Estimation Supported by the GoCARB system in Individuals With Type 1 Diabetes: A Randomized Prospective Pilot Study. Diabetes care, 40(2), dc162173. American Diabetes Association 10.2337/dc16-2173
Daskalaki, Eleni; Diem, Peter; Mougiakakou, Stavroula (2016). Model-Free Machine Learning in Biomedicine: Feasibility Study in Type 1 Diabetes. PLoS ONE, 11(7), e0158722. Public Library of Science 10.1371/journal.pone.0158722
Rhyner, Daniel Kaspar; Loher, Hannah; Dehais, Joachim Blaise; Anthimopoulos, Marios; Shevchik, Sergey; Botwey, Ransford Henry; Duke, David; Stettler, Christoph; Diem, Peter; Mougiakakou, Stavroula (2016). Carbohydrate Estimation by a Mobile Phone-Based System Versus Self-Estimations of Individuals With Type 1 Diabetes Mellitus: A Comparative Study. Journal of medical internet research, 18(5), e101. Centre of Global eHealth Innovation 10.2196/jmir.5567
Anthimopoulos, Marios; Christodoulidis, Stergios; Ebner, Lukas Michael; Christe, Andreas; Mougiakakou, Stavroula (2016). Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network. IEEE transactions on medical imaging, 35(5), pp. 1207-1216. Institute of Electrical and Electronics Engineers IEEE 10.1109/TMI.2016.2535865
Laimer, Markus; Stettler, Christoph; Diem, Peter; Mougiakakou, Stavroula (2015). GoCARB: Smartphone-App zur Kohlenhydratberechnung bei Typ-1-Diabetes. Der Diabetologe, 11(7), pp. 575-578. Springer 10.1007/s11428-015-0026-9
Anthimopoulos, Marios; Dehais, Joachim Blaise; Shevchik, Sergey; Botwey, Ransford Henry; Duke, David; Diem, Peter; Mougiakakou, Stavroula (2015). Computer Vision-Based Carbohydrate Estimation for Type 1 Diabetic Patients Using Smartphones. Journal of diabetes science and technology, 9(3), pp. 507-515. Diabetes Technology Society 10.1177/1932296815580159
Agianniotis, Aristotelis; Anthimopoulos, Marios; Daskalaki, Eleni; Drapela, Aurélie; Stettler, Christoph; Diem, Peter; Mougiakakou, Stavroula (2015). GoCARB in the Context of an Artificial Pancreas. Journal of diabetes science and technology, 9(3), pp. 549-555. Diabetes Technology Society 10.1177/1932296815583333
Pfützner, Andreas; Weissmann, Joerg; Mougiakakou, Stavroula; Daskalaki, Eleni; Weis, Norbert; Ziegler, Ralph (2015). Glycemic Variability Is Associated with Frequency of Blood Glucose Testing and Bolus: Post Hoc Analysis Results from the ProAct Study. Diabetes technology & therapeutics, 17(6), pp. 392-397. Mary Ann Liebert 10.1089/dia.2014.0278
Anthimopoulos, Marios M.; Gianola, Lauro; Scarnato, Luca; Diem, Peter; Mougiakakou, Stavroula (2014). A Food Recognition System for Diabetic Patients based on an Optimized Bag of Features Model. IEEE journal of biomedical and health informatics, 18(4), pp. 1261-2194. Institute of Electrical and Electronics Engineers 10.1109/JBHI.2014.2308928
Anthimopoulos, Marios; Christodoulidis, Stergios; Christe, Andreas; Mougiakakou, Stavroula (2014). Classification of interstitial lung disease patterns using local DCT features and random forest. IEEE Engineering in Medicine and Biology Society conference proceedings, 2014, pp. 6040-6043. IEEE Service Center 10.1109/EMBC.2014.6945006
Daskalaki, Elena; Nørgaard, Kirsten; Züger, Thomas; Prountzou, Aikaterini; Diem, Peter; Mougiakakou, Stavroula (2013). An Early-Warning System for Hypo-/Hyperglycemic Events Based on Fusion of Adaptive Prediction Models. Journal of diabetes science and technology, 7(3), pp. 689-698. Diabetes Technology Society
Daskalaki, Elena; Nørgaard, Kirsten; Züger, Thomas; Prountzou, Aikaterini; Diem, Peter; Mougiakakou, Stavroula (2013). An early warning system for hypoglycemic/hyperglycemic events based on fusion of adaptive prediction models. Journal of diabetes science and technology, 7(3), pp. 689-98. Foster City, Calif.: Diabetes Technology Society
Zueger, Thomas; Diem, Peter; Mougiakakou, Stavroula; Stettler, Christoph (2012). Influence of time point of calibration on accuracy of continuous glucose monitoring in individuals with type 1 diabetes. Diabetes technology & therapeutics, 14(7), pp. 583-8. Larchmont, N.Y.: Mary Ann Liebert 10.1089/dia.2011.0271
Daskalaki, Elena; Diem, Peter; Mougiakakou, Stavroula (2012). An Actor-Critic based controller for glucose regulation in type 1 diabetes. Computer methods and programs in biomedicine, 109(2), pp. 116-125. Amsterdam: Elsevier 10.1016/j.cmpb.2010.02.010
Mougiakakou, Stavroula; Kyriacou, Efthyvoulos; Perakis, Kostas; Papadopoulos, Homer; Androulidakis, Aggelos; Konnis, Georgios; Tranfaglia, Riccardo; Pecchia, Leandro; Bracale, Umberto; Pattichis, Constantinos; Koutsouris, Dimitrios (2011). A feasibility study for the provision of electronic healthcare tools and services in areas of Greece, Cyprus and Italy. Biomedical engineering online, 10, p. 49. London: BioMed Central 10.1186/1475-925X-10-49
Zarkogianni, Konstantia; Vazeou, Andriani; Mougiakakou, Stavroula; Prountzou, Aikaterini; Nikita, Konstantina S (2011). An insulin infusion advisory system based on autotuning nonlinear model-predictive control. IEEE transactions on biomedical engineering, 58(9), pp. 2467-77. New York, N.Y.: Institute of Electrical and Electronics Engineers IEEE 10.1109/TBME.2011.2157823
Kouris, Ioannis; Mougiakakou, Stavroula; Scarnato, Luca; Iliopoulou, Dimitra; Diem, Peter; Vazeou, Andriani; Koutsouris, Dimitris (2010). Mobile phone technologies and advanced data analysis towards the enhancement of diabetes self-management. International journal of electronic healthcare, 5(4), pp. 386-402. Genève: Inderscience Enterprises
Kouris, Ioannis; Tsirmpas, Charalampos; Mougiakakou, Stavroula; Iliopoulou, Dimitra; Koutsouris, Dimitris (2010). E-Health towards ecumenical framework for personalized medicine via Decision Support System. IEEE Engineering in Medicine and Biology Society conference proceedings, 2010, pp. 2881-2885. Piscataway, N.J.: IEEE Service Center 10.1109/IEMBS.2010.5626308
Melis, Carlo; Garcia-Garcia, Fernando; Correa-Londoño, Martina; Wyss, Thomas; Mougiakakou, Stavroula; von Tengg-Kobligk, Hendrik (2019). The role of machine learning in clinical decision support Systems for abdominal aortic aneurysms. In: 11th European Symposium on vascular biomaterials ESVB 2019-Biomaterials and digital technologies for future indivudualized patient management in vascular surgery (pp. 137-147). Strasbourg, France: GEPROVAS
Anthimopoulos, Marios; Christodoulidis, Stergios; Christe, Andreas; Mougiakakou, Stavroula (2015). Computer-aided diagnosis of interstitial lung diseases based on CT image analysis. In: Musa, Sarhan M. (ed.) Computational Optical Biomedical Spectroscopy and Imaging (pp. 175-201). CRC Press
Daskalaki, Eleni; Diem, Peter; Mougiakakou, Stavroula (2014). Adaptive Algorithms for Personalized Diabetes Treatment. In: Marmarelis, Vasilis; Mitsis, Georgios (eds.) Data-driven Modeling for Diabetes: Diagnosis and Treatment. Lecture Notes in Bioengineering (pp. 91-116). Berlin: Springer
Papathanail, Ioannis; Lu, Ya; Vasiloglou, Maria; Stathopoulou, Thomai; Ghosh, Arindam; Faeh, David; Mougiakakou, Stavroula (March 2021). FOOD RECOGNITION IN ASSESSING THE MEDITERRANEAN DIET: A HIERARCHICAL APPROACH (Unpublished). In: 14th International Conference on Advanced Technologies & Treatments for Diabetes.
Fontanellaz, Matthias Andreas; Jankovic, Marko; Mougiakakou, Stavroula (March 2021). Gradual Fine-Tuning for accurate Blood Glucose Level Prediction (Unpublished). In: 14th International Conference on Advanced Technologies & Treatments for Diabetes.
Papathanail, Ioannis; Lu, Ya; Ghosh, Arindam; Mougiakakou, Stavroula (21 February 2021). Food Recognition in the Presence of Label Noise. In: Del Bimbo, Alberto; Cucchiara, Rita; Sclaroff, Stan; Farinella, Giovanni Maria; Mei, Tao; Bertini, Marco; Escalante, Hugo Jair; Vezzani, Roberto (eds.) Pattern Recognition. ICPR International Workshops and Challenges. Lecture Notes in Computer Science: Vol. 12665 (pp. 617-628). Springer, Cham 10.1007/978-3-030-68821-9_49
Lu, Ya; Stathopoulou, Thomai; Mougiakakou, Stavroula (2021). Partially Supervised Multi-Task Network for Single-View Dietary Assessment (In Press). In: ICPR2020. Milano (Virtual). Jan 10-15, 2021.
Vakalopoulou, Maria; Christodoulidis, Stergios; Sahasrabudhe, Mihir; Mougiakakou, Stavroula; Paragios, Nikos (14 November 2019). Image Registration of Satellite Imagery with Deep Convolutional Neural Networks. In: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium (pp. 4939-4942). IEEE 10.1109/IGARSS.2019.8898220
Fontanellaz, Matthias; Christodoulidis, Stergios; Mougiakakou, Stavroula (21 October 2019). Self-Attention and Ingredient-Attention Based Model for Recipe Retrieval from Image Queries. In: 5th International Workshop on Multimedia Assisted Dietary Management (MADiMa '19) (pp. 25-31). New York: ACM 10.1145/3347448.3357163
Estienne, Théo; Vakalopoulou, Maria; Christodoulidis, Stergios; Battistela, Enzo; Lerousseau, Marvin; Carre, Alexandre; Klausner, Guillaume; Sun, Roger; Robert, Charlotte; Mougiakakou, Stavroula; Paragios, Nikos; Deutsch, Eric (10 October 2019). U-ReSNet: Ultimate Coupling of Registration and Segmentation with Deep Nets. In: Medical Image Computing and Computer Assisted Intervention – MICCAI 2019. Lecture Notes in Computer Science: Vol. 11766 (pp. 310-319). Springer, Cham 10.1007/978-3-030-32248-9_35
Sun, Qingnan; Jankovic, Marko; Mougiakakou, Stavroula (27 July 2019). Reinforcement Learning-Based Adaptive Insulin Advisor for Individuals with Type 1 Diabetes Patients under Multiple Daily Injections Therapy (In Press). In: 41st International Engineering in Medicine and Biology Conference (IEEE EMBC2019). Berlin. 23-27/07/2019.
Lu, Ya; Stathopoulou, Thomai; Vasiloglou, Maria; Christodoulidis, Stergios; Blum, Beat; Walser, Thomas; Vinzenz, Meier; Stanga, Zeno; Mougiakakou, Stavroula (26 July 2019). An Artificial Intelligence-Based System for Nutrient Intake Assessment of Hospitalised Patients (In Press). In: 41st International Engineering in Medicine and Biology Conference (IEEE EMBC2019). Berlin. 23-27/07/2019.
Sun, Qingnan; Jankovic, Marko; Mougiakakou, Stavroula (20 November 2018). Impact of Errors in Carbohydrate Estimation on Control of Blood Glucose in Type 1 Diabetes (In Press). In: 2018 14th IEEE Symposium on Neural Networks and Applications (NEUREL) - IEEE Neurel2018. Institute of Electrical and Electronics Engineers
Jankovic, Marko; Mosimann, Samuel; Bally, Lia; Stettler, Christoph; Mougiakakou, Stavroula (29 December 2016). Deep prediction model: The case of online adaptive prediction of subcutaneous glucose. In: 13th Symposium on Neural Networks and Applications (NEUREL) (pp. 1-5). IEEE 10.1109/NEUREL.2016.7800095
Christe, Andreas; Anthimopoulos, Marios; Christodoulidis, Stergios; Ebner, Lukas; Mougiakakou, Stavroula (27 November 2016). Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network (Unpublished). In: Radiological Society of North America (RSNA). Chicago. 2016.
Anthimopoulos, Marios; Gupta, Sidharta; Arampatzis, Spyridon; Mougiakakou, Stavroula (4 October 2016). Smartphone-based Urine Strip Analysis. In: IEEE International Conference on Imaging Systems and Techniques (IEEE IST2016) (pp. 368-372). IEEE 10.1109/IST.2016.7738253
Christe, Andreas; Anthimopoulos, Marios; Christodoulidis, Stergios; Ebner, Lukas; Mougiakakou, Stavroula (13 March 2016). Classification of interstitial lung disease patterns of HRCT images using DCT features (Unpublished). In: Society of Thoracic Radiology STR. Scottsdale, USA. 2016.
Dehais, Joachim Blaise; Anthimopoulos, Marios; Mougiakakou, Stavroula (21 August 2015). Dish Detection and Segmentation for Dietary Assessment on Smartphones. In: Murino, Vittorio; Puppo, Enrico; Sona, Diego; Cristani, Marco; Sansone, Carlo (eds.) ICIAP 2015 Workshops. New Trends in Image Analysis and Processing. Lecture Notes in Computer Science: Vol. 9281 (pp. 433-440). Springer 10.1007/978-3-319-23222-5_53
Christodoulidis, Stergios; Anthimopoulos, Marios; Mougiakakou, Stavroula (21 August 2015). Food Recognition for Dietary Assessment Using Deep Convolutional Neural Networks. In: Murino, Vittorio; Puppo, Enrico; Sona, Diego; Cristani, Marco; Sansone, Carlo (eds.) ICIAP 2015 International Workshops. Lecture Notes in Computer Science: Vol. 9281 (pp. 458-465). Springer 10.1007/978-3-319-23222-5_56
Botwey, Ransford Henry; Daskalaki, Eleni; Diem, Peter; Mougiakakou, Stavroula (August 2014). Multi-Model Data Fusion to Improve an Early Warning System for Hypo-/Hyperglycemic Events. IEEE Engineering in Medicine and Biology Society conference proceedings, 2014, pp. 4843-4846. IEEE Service Center 10.1109/EMBC.2014.6944708
Anthimopoulos, Marios; Dehais, Joachim Blaise; Diem, Peter; Mougiakakou, Stavroula (November 2013). Segmentation and Recognition of Multi-Food Meal Images for Carbohydrate Counting. In: 13th IEEE International Conference on BioInformatics and BioEngineering system (IEEE BIBE2013). Chania, Greece. 10.-13.11.2013.
Dehais, Joachim Blaise; Shevchik, Sergey; Diem, Peter; Mougiakakou, Stavroula (November 2013). Food Volume Computation for Self Dietary Assessment Applications. In: 2013 IEEE 13th International Conference on Bioinformatics and Bioengineering (BIBE). Chania, Greece. 10.-13.11.2013.
Daskalaki, Eleni; Diem, Peter; Mougiakakou, Stavroula (July 2013). Personalized Tuning of a Reinforcement Learning Control Algorithm for Glucose Regulation. IEEE Engineering in Medicine and Biology Society conference proceedings, 2013, pp. 3487-3490. IEEE Service Center 10.1109/EMBC.2013.6610293
