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Ya Lu
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goFOODTM: An Artificial Intelligence System for Dietary Assessment
Y Lu, T Stathopoulou, MF Vasiloglou, LF Pinault, C Kiley, EK Spanakis, ...
Sensors 20 (15), 4283, 2020
652020
What healthcare professionals think of “nutrition & diet” apps: an international survey
MF Vasiloglou, S Christodoulidis, E Reber, T Stathopoulou, Y Lu, ...
Nutrients 12 (8), 2214, 2020
552020
An artificial intelligence-based system to assess nutrient intake for hospitalised patients
Y Lu, T Stathopoulou, MF Vasiloglou, S Christodoulidis, Z Stanga, ...
IEEE transactions on multimedia 23, 1136-1147, 2020
522020
A multi-task learning approach for meal assessment
Y Lu, D Allegra, M Anthimopoulos, F Stanco, GM Farinella, ...
Proceedings of the joint workshop on multimedia for cooking and eating …, 2018
432018
A multimedia database for automatic meal assessment systems
D Allegra, M Anthimopoulos, J Dehais, Y Lu, F Stanco, GM Farinella, ...
New Trends in Image Analysis and Processing–ICIAP 2017: ICIAP International …, 2017
252017
Perspectives and preferences of adult smartphone users regarding nutrition and diet apps: web-based survey study
MF Vasiloglou, S Christodoulidis, E Reber, T Stathopoulou, Y Lu, ...
JMIR mHealth and uHealth 9 (7), e27885, 2021
242021
The human factor in automated image-based nutrition apps: Analysis of common mistakes using the goFOOD lite app
MF Vasiloglou, K van der Horst, T Stathopoulou, MP Jaeggi, GS Tedde, ...
JMIR mHealth and uHealth 9 (1), e24467, 2021
192021
An Artificial Intelligence-Based System for Nutrient Intake Assessment of Hospitalised Patients*
Y Lu, T Stathopoulou, MF Vasiloglou, S Christodoulidis, B Blum, T Walser, ...
2019 41st Annual International Conference of the IEEE Engineering in …, 2019
182019
Assessing mediterranean diet adherence with the smartphone: The medipiatto project
MF Vasiloglou, Y Lu, T Stathopoulou, I Papathanail, D Faeh, A Ghosh, ...
Nutrients 12 (12), 3763, 2020
152020
Partially supervised multi-task network for single-view dietary assessment
Y Lu, T Stathopoulou, S Mougiakakou
2020 25th International Conference on Pattern Recognition (ICPR), 8156-8163, 2021
112021
Food recognition in the presence of label noise
I Papathanail, Y Lu, A Ghosh, S Mougiakakou
Pattern Recognition. ICPR International Workshops and Challenges: Virtual …, 2021
22021
基于支持向量机的近红外人脸与虹膜融合算法
何玉青, 刘飞虎, 冯光琴, 陆亚, 何欢
光子学报 39 (s1), 1-5, 2010
22010
Specific Shape Feature for Fast Pedestrian Detection in Cascade Way
Y He, T Yang, Y Lu, M Liu, X Zhai
2018 2nd IEEE Advanced Information Management, Communicates, Electronic and …, 2018
12018
Object localization by density-based spatial clustering
Y Lu, J Zhao, J Ma
2016 Visual Communications and Image Processing (VCIP), 1-4, 2016
12016
Combining nonuniform sampling, hybrid super vector, and random forest with discriminative decision trees for action recognition
K Xu, Y Lu, H Zhang, X Feng, W Kim, JJ Han
2015 IEEE International Conference on Image Processing (ICIP), 3977-3981, 2015
12015
Location precision analysis of stereo thermal anti-sniper detection system
Y He, Y Lu, X Zhang, W Jin
Infrared Technology and Applications XXXVIII 8353, 1193-1198, 2012
12012
ARTIFICIAL INTELLIGENCE AND ITS ROLE IN ASSESSING MEDITERRANEAN DIET ADHERENCE: A FEASIBILITY STUDY
I Papathanail, M Vasiloglou, T Stathopoulou, Y Lu, D Fah, A Ghosh, ...
DIABETES TECHNOLOGY & THERAPEUTICS 24, A193-A194, 2022
2022
FOOD RECOGNITION IN ASSESSING THE MEDITERRANEAN DIET: A HIERARCHICAL APPROACH
I Papathanail, Y Lu, M Vasiloglou, T Stathopoulou, A Ghosh, D Faeh, ...
2021
AYTOMATIC NUTRIENT ESTIMATION FOR HOSPITALISED PATIENTS
M Vasiloglou, Y Lu, S Christodoulidis, T Stathopoulou, Z Stanga, ...
DIABETES TECHNOLOGY & THERAPEUTICS 21, A47-A48, 2019
2019
AN ENHANCED AI AND COMPUTER VISION-BASED SMARTPHONE SYSTEM FOR TRANSLATING FOOD MULTIMEDIA DATA TO NUTRIENT INFORMATION
Y Lu, MF Vasiloglou, T Stathopoulou, S Christodoulidis, S Mougiakakou
DIABETES TECHNOLOGY & THERAPEUTICS 21, A118-A118, 2019
2019
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