| High-dimensional dense residual convolutional neural network for light field reconstruction N Meng, HKH So, X Sun, EY Lam IEEE transactions on pattern analysis and machine intelligence 43 (3), 873-886, 2019 | 112 | 2019 |
| Large-scale multi-class image-based cell classification with deep learning N Meng, EY Lam, KK Tsia, HKH So IEEE journal of biomedical and health informatics 23 (5), 2091-2098, 2018 | 93 | 2018 |
| High-Order Residual Network for Light Field Super-Resolution N Meng, X Wu, J Liu, EY Lam Thirty-forth AAAI Conference on Artificial Intelligence 34 (7), 11757-11764, 2020 | 35 | 2020 |
| Data-driven light field depth estimation using deep convolutional neural networks X Sun, Z Xu, N Meng, EY Lam, HKH So 2016 International Joint Conference on Neural Networks (IJCNN), 367-374, 2016 | 32 | 2016 |
| Light field view synthesis via aperture disparity and warping confidence map N Meng, K Li, J Liu, EY Lam IEEE Transactions on Image Processing 30, 3908-3921, 2021 | 29 | 2021 |
| LightGAN: A deep generative model for light field reconstruction N Meng, Z Ge, T Zeng, EY Lam IEEE Access 8, 116052-116063, 2020 | 17 | 2020 |
| Dynamic laser speckle analysis using the event sensor Z Ge, N Meng, L Song, EY Lam Applied Optics 60 (1), 172-178, 2021 | 15 | 2021 |
| Computational single-cell classification using deep learning on bright-field and phase images N Meng, HKH So, EY Lam 2017 Fifteenth IAPR International Conference on Machine Vision Applications …, 2017 | 12 | 2017 |
| An Artificial Intelligence Powered Platform for Auto-Analyses of Spine Alignment Irrespective of Image Quality with Prospective Validation N Meng, JPY Cheung, KYK Wong, S Dokos, SPH Li, RW Choy, SCH To, ... THE LANCET eClinicalMedicine 43, 2022 | 11 | 2022 |
| Spatial and Angular Reconstruction of Light Field Based on Deep Generative Networks N Meng, T Zeng, EY Lam 2019 IEEE International Conference on Image Processing (ICIP), 4659-4663, 2019 | 11 | 2019 |
| Computational light field generation using deep nonparametric Bayesian learning N Meng, X Sun, HKH So, EY Lam IEEE Access 7, 24990-25000, 2019 | 8 | 2019 |
| Unsupervised light field depth estimation via multi-view feature matching with occlusion prediction S Zhang, N Meng, EY Lam IEEE Transactions on Circuits and Systems for Video Technology, 2023 | 7 | 2023 |
| LRT: an efficient low-light restoration transformer for dark light field images S Zhang, N Meng, EY Lam IEEE Transactions on Image Processing, 2023 | 7 | 2023 |
| Patient and surgical predictors of 3D correction in posterior spinal fusion: a systematic review SHT Wan, DLL Wong, SCH To, N Meng, T Zhang, JPY Cheung European Spine Journal 32 (6), 1927-1946, 2023 | 6 | 2023 |
| Sparse hierarchical nonparametric Bayesian learning for light field representation and denoising X Sun, N Meng, Z Xu, EY Lam, HKH So 2016 International Joint Conference on Neural Networks (IJCNN), 3272-3279, 2016 | 5 | 2016 |
| Perceptual loss for light field reconstruction in high-dimensional convolutional neural networks N Meng, T Zeng, EY Lam Computational Optical Sensing and Imaging, CW1A. 5, 2019 | 4 | 2019 |
| Deep Learning Model to Classify and Monitor Idiopathic Scoliosis in Adolescents Using a Single Smartphone Photograph T Zhang, C Zhu, Y Zhao, M Zhao, Z Wang, R Song, N Meng, A Sial, ... JAMA Network Open 6 (8), e2330617-e2330617, 2023 | 3 | 2023 |
| Radiograph-comparable image synthesis for spine alignment analysis using deep learning with prospective clinical validation N Meng, KYK Wong, M Zhao, JPY Cheung, T Zhang THE LANCET eClinicalMedicine 61, 2023 | 3 | 2023 |
| A clinical classification for radiation-less monitoring of scoliosis based on deep learning of back photographs T Zhang, C Zhu, Y Zhao, M Zhao, Z Wang, R Song, N Meng, A Sial, ... | 2 | 2022 |
| Deep convolutional neural network for single-cell image analysis (Conference Presentation) EY Lam, N Meng, HKH So High-Speed Biomedical Imaging and Spectroscopy III: Toward Big Data …, 2018 | 1 | 2018 |
Edmund LamProfessor in Electrical and Electronic Engineering, The University of Hong KongVerified email at eee.hku.hk
