Efficient extraction of deep image features using convolutional neural network (CNN) for applications in detecting and analysing complex food matrices
Background The development of techniques and methods for rapidly and reliably detecting
and analysing food quality and safety products is of significance for the food industry …
and analysing food quality and safety products is of significance for the food industry …
Innovations in research and clinical care using patient‐generated health data
Patient‐generated health data (PGHD), or health‐related data gathered from patients to help
address a health concern, are used increasingly in oncology to make regulatory decisions …
address a health concern, are used increasingly in oncology to make regulatory decisions …
Image-based food classification and volume estimation for dietary assessment: A review
A daily dietary assessment method named 24-hour dietary recall has commonly been used
in nutritional epidemiology studies to capture detailed information of the food eaten by the …
in nutritional epidemiology studies to capture detailed information of the food eaten by the …
[HTML][HTML] Artificial intelligence in nutrients science research: a review
J Sak, M Suchodolska - Nutrients, 2021 - mdpi.com
Artificial intelligence (AI) as a branch of computer science, the purpose of which is to imitate
thought processes, learning abilities and knowledge management, finds more and more …
thought processes, learning abilities and knowledge management, finds more and more …
An artificial intelligence-based system to assess nutrient intake for hospitalised patients
Y Lu, T Stathopoulou, MF Vasiloglou… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
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 nutrient intake …
the risk of disease-related malnutrition. Although several methods to estimate nutrient intake …
GH2_MobileNet: Deep learning approach for predicting green hydrogen production from organic waste mixtures
Green hydrogen production is fast becoming a key technology in changing the traditional
rules of energy production by relying on green energy sources. Due to the high cost of …
rules of energy production by relying on green energy sources. Due to the high cost of …
Artificial intelligence in nutrition research: perspectives on current and future applications
M Côté, B Lamarche - Applied Physiology, Nutrition, and …, 2022 - cdnsciencepub.com
Artificial intelligence (AI) is a rapidly evolving area that offers unparalleled opportunities of
progress and applications in many healthcare fields. In this review, we provide an overview …
progress and applications in many healthcare fields. In this review, we provide an overview …
Point2volume: A vision-based dietary assessment approach using view synthesis
Dietary assessment is an important tool for nutritional epidemiology studies. To assess the
dietary intake, the common approach is to carry out 24-h dietary recall (24HR), a structured …
dietary intake, the common approach is to carry out 24-h dietary recall (24HR), a structured …
Cross-ray neural radiance fields for novel-view synthesis from unconstrained image collections
Abstract Neural Radiance Fields (NeRF) is a revolutionary approach for rendering scenes
by sampling a single ray per pixel and it has demonstrated impressive capabilities in novel …
by sampling a single ray per pixel and it has demonstrated impressive capabilities in novel …
Multimedia data-based mobile applications for dietary assessment
MF Vasiloglou, I Marcano, S Lizama… - Journal of diabetes …, 2023 - journals.sagepub.com
Diabetes mellitus (DM) and obesity are chronic medical conditions associated with
significant morbidity and mortality. Accurate macronutrient and energy estimation could be …
significant morbidity and mortality. Accurate macronutrient and energy estimation could be …