Nan Meng
Zitiert von
Zitiert von
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
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
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
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
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
LightGAN: A deep generative model for light field reconstruction
N Meng, Z Ge, T Zeng, EY Lam
IEEE Access 8, 116052-116063, 2020
Dynamic laser speckle analysis using the event sensor
Z Ge, N Meng, L Song, EY Lam
Applied Optics 60 (1), 172-178, 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
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
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
Computational light field generation using deep nonparametric Bayesian learning
N Meng, X Sun, HKH So, EY Lam
IEEE Access 7, 24990-25000, 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
LRT: an efficient low-light restoration transformer for dark light field images
S Zhang, N Meng, EY Lam
IEEE Transactions on Image Processing, 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
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
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
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
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
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, ...
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
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