Published on in Vol 4, No 10 (2020): October
Preprints (earlier versions) of this paper are
available at
https://preprints.jmir.org/preprint/18507, first published
.
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- Elbassuoni S, Ghattas H, Ati J, Shmayssani Z, Katerji S, Zoughbi Y, Semaan A, Akl C, Gharbia H, Sassi S. DeepNOVA: A Deep Learning NOVA Classifier for Food Images. IEEE Access 2022;10:128523 View
- Van Wymelbeke-Delannoy V, Juhel C, Bole H, Sow A, Guyot C, Belbaghdadi F, Brousse O, Paindavoine M. A Cross-Sectional Reproducibility Study of a Standard Camera Sensor Using Artificial Intelligence to Assess Food Items: The FoodIntech Project. Nutrients 2022;14(1):221 View
- Zheng J, Wang J, Shen J, An R. Artificial Intelligence Applications to Measure Food and Nutrient Intakes: Scoping Review. Journal of Medical Internet Research 2024;26:e54557 View
- Ji Y, Waki K, Yamauchi T, Nangaku M, Ohe K. Using One-Shot Prompting of Non-Fine-Tuned Commercial Artificial Intelligence to Assess Nutrients from Photographs of Japanese Meals. Journal of Diabetes Science and Technology 2025 View
- Saad A, Rahi M, Islam M, Rabbani G. Diet Engine: A real-time food nutrition assistant system for personalized dietary guidance. Food Chemistry Advances 2025;7:100978 View
- Saad A, Islam M. Navigating nutrients: A scoping review on real-time food nutrition classification and recommendation systems. Computers in Biology and Medicine 2025;192:110306 View
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- P N, R T, M S, B D, S K. 2023 7th International Conference on Computing Methodologies and Communication (ICCMC). Prediction of Healthy and Unhealthy Food Items using Deep Learning View