Zobrazeno 1 - 10
of 108
pro vyhledávání: '"Stavroula Mougiakakou"'
Autor:
Ioannis Papathanail, Maria F. Vasiloglou, Thomai Stathopoulou, Arindam Ghosh, Manuel Baumann, David Faeh, Stavroula Mougiakakou
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Mediterranean diet (MD) can play a major role in decreasing the risks of non-communicable diseases and preventing overweight and obesity. In order for a person to follow the MD and assess their adherence to it, proper dietary assessment meth
Externí odkaz:
https://doaj.org/article/d9460dad09cc454885e911206cb28155
Autor:
Ioannis Papathanail, Lubnaa Abdur Rahman, Lorenzo Brigato, Natalie S. Bez, Maria F. Vasiloglou, Klazine van der Horst, Stavroula Mougiakakou
Publikováno v:
Nutrients, Vol 15, Iss 17, p 3835 (2023)
A healthy diet can help to prevent or manage many important conditions and diseases, particularly obesity, malnutrition, and diabetes. Recent advancements in artificial intelligence and smartphone technologies have enabled applications to conduct aut
Externí odkaz:
https://doaj.org/article/cbc3f72eea5b454485049b3501fc8d2a
Autor:
Maria F Vasiloglou, Stergios Christodoulidis, Emilie Reber, Thomai Stathopoulou, Ya Lu, Zeno Stanga, Stavroula Mougiakakou
Publikováno v:
JMIR mHealth and uHealth, Vol 9, Iss 7, p e27885 (2021)
BackgroundDigital technologies have evolved dramatically in recent years, finding applications in a variety of aspects of everyday life. Smartphones and mobile apps are being used for a steadily increasing number of tasks, including health monitoring
Externí odkaz:
https://doaj.org/article/ecb92dae2eed47cbb1c6628c80f04739
Autor:
Ioannis Papathanail, Jana Brühlmann, Maria F. Vasiloglou, Thomai Stathopoulou, Aristomenis K. Exadaktylos, Zeno Stanga, Thomas Münzer, Stavroula Mougiakakou
Publikováno v:
Nutrients, Vol 13, Iss 12, p 4539 (2021)
Malnutrition is common, especially among older, hospitalised patients, and is associated with higher mortality, longer hospitalisation stays, infections, and loss of muscle mass. It is therefore of utmost importance to employ a proper method for diet
Externí odkaz:
https://doaj.org/article/b51ea72a20f6462085dc9371b223e600
Autor:
Maria F. Vasiloglou, Ya Lu, Thomai Stathopoulou, Ioannis Papathanail, David Faeh, Arindam Ghosh, Manuel Baumann, Stavroula Mougiakakou
Publikováno v:
Nutrients, Vol 12, Iss 12, p 3763 (2020)
The Mediterranean diet (MD) is regarded as a healthy eating pattern with beneficial effects both for the decrease of the risk for non-communicable diseases and also for body weight reduction. In the current manuscript, we propose an automated smartph
Externí odkaz:
https://doaj.org/article/9092428f3f404e4aad9e6ac9e8df32e8
Autor:
Maria F. Vasiloglou, Stergios Christodoulidis, Emilie Reber, Thomai Stathopoulou, Ya Lu, Zeno Stanga, Stavroula Mougiakakou
Publikováno v:
Nutrients, Vol 12, Iss 8, p 2214 (2020)
Accurate dietary assessment is crucial for both the prevention and treatment of nutrition-related diseases. Since mobile-based dietary assessment solutions are promising, we sought to examine the acceptability of “Nutrition and Diet” (ND) apps by
Externí odkaz:
https://doaj.org/article/0f9801b9c84a4994ae7b199582ec070c
Autor:
Ya Lu, Thomai Stathopoulou, Maria F. Vasiloglou, Lillian F. Pinault, Colleen Kiley, Elias K. Spanakis, Stavroula Mougiakakou
Publikováno v:
Sensors, Vol 20, Iss 15, p 4283 (2020)
Accurate estimation of nutritional information may lead to healthier diets and better clinical outcomes. We propose a dietary assessment system based on artificial intelligence (AI), named goFOODTM. The system can estimate the calorie and macronutrie
Externí odkaz:
https://doaj.org/article/a185f259129a4d2cb8aed0d039447b25
Autor:
Maria F. Vasiloglou, Stavroula Mougiakakou, Emilie Aubry, Anika Bokelmann, Rita Fricker, Filomena Gomes, Cathrin Guntermann, Alexa Meyer, Diana Studerus, Zeno Stanga
Publikováno v:
Nutrients, Vol 10, Iss 6, p 741 (2018)
GoCARB is a computer vision-based smartphone system designed for individuals with Type 1 Diabetes to estimate plated meals’ carbohydrate (CHO) content. We aimed to compare the accuracy of GoCARB in estimating CHO with the estimations of six experie
Externí odkaz:
https://doaj.org/article/47cbc1877d7e43989db4bf64ae7fd110
Publikováno v:
Proceedings of the 1st International Workshop on Multimedia for Cooking, Eating, and related APPlications.
Autor:
Elias Primetis, Dionysios Drakopoulos, Jeremias Klaus, Thomas D. Ruder, Matthias Fontanellaz, Jaro Munz, Johannes T. Heverhagen, Andreas Christe, Cynthia Hourscht, Alan A. Peters, Adrian Thomas Huber, Lukas Ebner, Laura Löbelenz, Dominik Sieron, Stavroula Mougiakakou
Publikováno v:
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
The aim of this study was to compare a diagnosis support system to detect COVID-19 pneumonia on chest radiographs (CXRs) against radiologists of various levels of expertise in chest imaging. MATERIALS AND METHODS Five publicly available databases com