Deepfood: Deep learning-based food image recognition for computer-aided dietary assessment C Liu, Y Cao, Y Luo, G Chen, V Vokkarane, Y Ma Inclusive Smart Cities and Digital Health: 14th International Conference on …, 2016 | 347 | 2016 |
A new deep learning-based food recognition system for dietary assessment on an edge computing service infrastructure C Liu, Y Cao, Y Luo, G Chen, V Vokkarane, M Yunsheng, S Chen, P Hou IEEE Transactions on Services Computing 11 (2), 249-261, 2017 | 345 | 2017 |
TX-CNN: Detecting tuberculosis in chest X-ray images using convolutional neural network C Liu, Y Cao, MF Alcantara, B Liu, MJ Brunette, J Peinado, WH Curioso International Conference on Image Processing(ICIP), 2017 | 169 | 2017 |
Improving Tuberculosis Diagnostics using Deep Learning and Mobile Health Technologies among Resource-poor and Marginalized Communities Y Cao, C Liu, B Liu, MJ Brunette, N Zhang, T Sun, P Zhang, J Peinado, ... Proceedings of the First IEEE International Conference on Connected Health …, 2016 | 121 | 2016 |
Improving Tuberculosis Diagnostics using Deep Learning and Mobile Health Technologies among Resource-poor Communities in Perú MF Alcantara, Y Cao, C Liu, B Liu, M Brunette, N Zhang, T Sun, P Zhang, ... Smart Health, 66-76, 2017 | 58 | 2017 |
An Edge Computing Visual System for Vegetable Categorization C Liu, X Wang, J Ni, Y Cao, B Liu International Conference on Machine Learning and Applications, 2019 | 16 | 2019 |
An Effective CNN approach for Diabetic Retinopathy Stage Classification with Dual Inputs and Selective Data Sampling J Ni, Q Chen, C Liu, H Wang, Y Cao, B Liu. International Conference on Machine Learning and Applications, 2019 | 10 | 2019 |
eRx–A technological advance to speed-up TB diagnostics MF Alcantara, Y Cao, B Liu, C Liu, N Zhang, P Zhang, T Griffin, ... Smart Health 16, 100117, 2020 | 8 | 2020 |