12 citations · 21 across the 4 of their papers we have counts for
9 papers
Partially Supervised Multi-Task Network for Single-View Dietary Assessment
Ya Lu, Thomai Stathopoulou, Stavroula Mougiakakou
Food volume estimation is an essential step in the pipeline of dietary assessment and demands the precise depth estimation of the food surface and table plane. Existing methods bas…
An Artificial Intelligence-Based System to Assess Nutrient Intake for Hospitalised Patients
Ya Lu, Thomai Stathopoulou, Maria F. Vasiloglou +3
Regular monitoring of nutrient intake in hospitalised patients plays a critical role in reducing the risk of disease-related malnutrition. Although several methods to estimate nutr…
Self-Attention and Ingredient-Attention Based Model for Recipe Retrieval from Image Queries
Matthias Fontanellaz, Stergios Christodoulidis, Stavroula Mougiakakou
Direct computer vision based-nutrient content estimation is a demanding task, due to deformation and occlusions of ingredients, as well as high intra-class and low inter-class vari…
An Artificial Intelligence-Based System for Nutrient Intake Assessment of Hospitalised Patients
Ya Lu, Thomai Stathopoulou, Maria F. Vasiloglou +6
Regular nutrient intake monitoring in hospitalised patients plays a critical role in reducing the risk of disease-related malnutrition (DRM). Although several methods to estimate n…
Reinforcement Learning-Based Adaptive Insulin Advisor for Individuals with Type 1 Diabetes Patients under Multiple Daily Injections Therapy
Qingnan Sun, Marko V. Jankovic, Stavroula G. Mougiakakou
The existing adaptive basal-bolus advisor (ABBA) was further developed to benefit patients under insulin therapy with multiple daily injections (MDI). Three different in silico exp…
Linear and Deformable Image Registration with 3D Convolutional Neural Networks
Stergios Christodoulidis, Mihir Sahasrabudhe, Maria Vakalopoulou +4
Image registration and in particular deformable registration methods are pillars of medical imaging. Inspired by the recent advances in deep learning, we propose in this paper, a n…