Articles with public access mandates - Liu YongLearn more
Not available anywhere: 6
Partially-supervised learning for vessel segmentation in ocular images
Y Xu, X Xu, L Jin, S Gao, RSM Goh, DSW Ting, Y Liu
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
Mandates: A*Star, Singapore
Performance modelling and cost effective execution for distributed graph processing on configurable VMs
Z Li, B Zhang, S Ren, Y Liu, Z Qin, RSM Goh, M Gurusamy
2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2017
Mandates: A*Star, Singapore
Self-guided optimization semi-supervised method for joint segmentation of macular hole and cystoid macular edema in retinal OCT images
M Wang, T Lin, Y Peng, W Zhu, Y Zhou, F Shi, K Yu, Q Meng, Y Liu, ...
IEEE Transactions on Biomedical Engineering 70 (7), 2013-2024, 2023
Mandates: National Natural Science Foundation of China, A*Star, Singapore
Deep learning system outperforms clinicians in identifying optic disc abnormalities
C Vasseneix, S Nusinovici, X Xu, JM Hwang, S Hamann, JJ Chen, JL Loo, ...
Journal of Neuro-Ophthalmology 43 (2), 159-167, 2023
Mandates: National Institute of Health and Medical Research, France, National …
ModStore: An instructional HPC-based platform for national science experiment big data challenge
W Zhang, Y Liu, L Wang, J Zhou, J Du, RSM Goh
2017 International Conference on Cloud Computing Research and Innovation …, 2017
Mandates: A*Star, Singapore, National Research Foundation, Singapore
Orthogonal Principal Coefficients Embedding for Unsupervised Subspace Learning
X Xu, S Xiao, Z Yi, X Peng, Y Liu
IEEE Transactions on Cognitive and Developmental Systems 10 (2), 280-289, 2017
Mandates: National Natural Science Foundation of China
Available somewhere: 31
Anomalynet: An anomaly detection network for video surveillance
JT Zhou, J Du, H Zhu, X Peng, Y Liu, RSM Goh
IEEE Transactions on Information Forensics and Security 14 (10), 2537-2550, 2019
Mandates: National Natural Science Foundation of China
Artificial intelligence to detect papilledema from ocular fundus photographs
D Milea, RP Najjar, Z Jiang, D Ting, C Vasseneix, X Xu, M Aghsaei Fard, ...
New England Journal of Medicine 382 (18), 1687-1695, 2020
Mandates: UK Medical Research Council, National Medical Research Council, Singapore
Retinal photograph-based deep learning algorithms for myopia and a blockchain platform to facilitate artificial intelligence medical research: a retrospective multicohort study
TE Tan, A Anees, C Chen, S Li, X Xu, Z Li, Z Xiao, Y Yang, X Lei, M Ang, ...
The Lancet Digital Health 3 (5), e317-e329, 2021
Mandates: National Medical Research Council, Singapore
Craft: Cross-attentional flow transformer for robust optical flow
X Sui, S Li, X Geng, Y Wu, X Xu, Y Liu, R Goh, H Zhu
Proceedings of the IEEE/CVF conference on Computer Vision and Pattern …, 2022
Mandates: A*Star, Singapore
Sc2net: Sparse lstms for sparse coding
JT Zhou, K Di, J Du, X Peng, H Yang, SJ Pan, I Tsang, Y Liu, Z Qin, ...
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
Mandates: Australian Research Council, National Natural Science Foundation of China
Optic disc classification by deep learning versus expert neuro‐ophthalmologists
V Biousse, NJ Newman, RP Najjar, C Vasseneix, X Xu, DS Ting, LB Milea, ...
Annals of neurology 88 (4), 785-795, 2020
Mandates: US National Institutes of Health, National Medical Research Council, Singapore
Adversarial multimodal fusion with attention mechanism for skin lesion classification using clinical and dermoscopic images
Y Wang, Y Feng, L Zhang, JT Zhou, Y Liu, RSM Goh, L Zhen
Medical Image Analysis 81, 102535, 2022
Mandates: A*Star, Singapore
Federated benchmarking of medical artificial intelligence with MedPerf
A Karargyris, R Umeton, MJ Sheller, A Aristizabal, J George, A Wuest, ...
Nature machine intelligence 5 (7), 799-810, 2023
Mandates: US Department of Energy, US National Institutes of Health, Helmholtz …
Accuracy of a deep learning system for classification of papilledema severity on ocular fundus photographs
C Vasseneix, RP Najjar, X Xu, Z Tang, JL Loo, S Singhal, S Tow, L Milea, ...
Neurology 97 (4), e369-e377, 2021
Mandates: US National Institutes of Health, National Medical Research Council, Singapore
DeepLensNet: deep learning automated diagnosis and quantitative classification of cataract type and severity
TDL Keenan, Q Chen, E Agrón, YC Tham, JHL Goh, X Lei, YP Ng, Y Liu, ...
Ophthalmology 129 (5), 571-584, 2022
Mandates: US National Institutes of Health
Learning federated visual prompt in null space for mri reconstruction
CM Feng, B Li, X Xu, Y Liu, H Fu, W Zuo
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
Mandates: A*Star, Singapore
Coverage Path Planning using Path Primitive Sampling and Primitive Coverage Graph for Visual Inspection
W Jing, D Deng, Z Xiao, Y Liu, K Shimada
IROS 2019 , International Conference on Intelligent Robots and Systems, 2019
Mandates: A*Star, Singapore
Diverse data augmentation with diffusions for effective test-time prompt tuning
CM Feng, K Yu, Y Liu, S Khan, W Zuo
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
Mandates: A*Star, Singapore, National Research Foundation, Singapore
RoboCoDraw: Robotic Avatar Drawing with GAN-based Style Transfer and Time-efficient Path Optimization
T Wang, WQ Toh, H Zhang, X Sui, S Li, Y Liu, W Jing
AAAI 2020, 2019
Mandates: A*Star, Singapore
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