3 citations · 5 across the 2 of their papers we have counts for
4 papers · 1 filter
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…
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…
A Multi-Task Learning Approach for Meal Assessment
Ya Lu, Dario Allegra, Marios Anthimopoulos +3
Key role in the prevention of diet-related chronic diseases plays the balanced nutrition together with a proper diet. The conventional dietary assessment methods are time-consuming…