| Quality assessment of systematic reviews in software engineering: A tertiary study Y Zhou, H Zhang, X Huang, S Yang, MA Babar, H Tang Proceedings of the 19th International Conference on Evaluation and …, 2015 | 83 | 2015 |
| GETNext: trajectory flow map enhanced transformer for next POI recommendation S Yang, J Liu, K Zhao Proceedings of the 45th International ACM SIGIR Conference on research and …, 2022 | 69 | 2022 |
| Synthesizing qualitative research in software engineering: A critical review X Huang, H Zhang, X Zhou, MA Babar, S Yang 2018 International Conference on Software Engineering (ICSE), 1207-1218, 2018 | 45 | 2018 |
| Detection of smoking status from retinal images; a Convolutional Neural Network study E Vaghefi, S Yang, S Hill, G Humphrey, N Walker, D Squirrell Scientific reports 9 (1), 7180, 2019 | 35 | 2019 |
| Towards implementation of AI in New Zealand national diabetic screening program: Cloud-based, robust, and bespoke L Xie, S Yang, D Squirrell, E Vaghefi Plos one 15 (4), e0225015, 2020 | 22 | 2020 |
| Space meets time: Local spacetime neural network for traffic flow forecasting S Yang, J Liu, K Zhao 2021 IEEE International Conference on Data Mining (ICDM), 817-826, 2021 | 21 | 2021 |
| THEIA™ development, and testing of artificial intelligence‐based primary triage of diabetic retinopathy screening images in New Zealand E Vaghefi, S Yang, L Xie, S Hill, O Schmiedel, R Murphy, D Squirrell Diabetic Medicine 38 (4), e14386, 2021 | 12 | 2021 |
| Contrastive learning for signed bipartite graphs Z Zhang, J Liu, K Zhao, S Yang, X Zheng, Y Wang Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 9 | 2023 |
| A multi-centre prospective evaluation of THEIA™ to detect diabetic retinopathy (DR) and diabetic macular oedema (DMO) in the New Zealand screening program E Vaghefi, S Yang, L Xie, D Han, A Yap, O Schmeidel, J Marshall, ... Eye 37 (8), 1683-1689, 2023 | 6* | 2023 |
| USER: Unsupervised structural entropy-based robust graph neural network Y Wang, Y Wang, Z Zhang, S Yang, K Zhao, J Liu Proceedings of the 37th AAAI Conference on Artificial Intelligence 37 (8 …, 2023 | 6 | 2023 |
| GACAN: Graph Attention-Convolution-Attention Networks for Traffic Forecasting Based on Multi-granularity Time Series S Zhang, H Zheng, H Su, B Yan, J Liu, S Yang 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 5 | 2021 |
| Automation of macular degeneration classification in the AREDS dataset, using a novel neural network design L Xie, E Vaghefi, S Yang, D Han, J Marshall, D Squirrell Clinical Ophthalmology, 455-469, 2023 | 2 | 2023 |
| Development and validation of a deep-learning model to predict 10-year ASCVD risk from retinal images using the UK Biobank and EyePACS 10K datasets E Vaghefi, D Squirrell, S Yang, S An, L Xie, MK Durbin, H Hou, J Marshall, ... medRxiv, 2023.09. 20.23295870, 2023 | 1 | 2023 |
| Use of artificial intelligence on retinal images to accurately predict the risk of cardiovascular event (CVD-AI) E Vaghefi, D Squirrell, S Yang, S An, J Marshall medRxiv, 2022.10. 12.22281017, 2022 | 1 | 2022 |
| Development and validation of a deep-learning model to predict 10-year atherosclerotic cardiovascular disease risk from retinal images using the UK Biobank and EyePACS 10K datasets E Vaghefi, D Squirrell, S Yang, S An, L Xie, MK Durbin, H Hou, J Marshall, ... Cardiovascular Digital Health Journal, 2024 | | 2024 |
| Spatio-temporal Graph Representation Learning S Yang PhD Thesis-University of Auckland, 2024 | | 2024 |
| ST CRF: Spatial-Temporal Conditional Random Field for Human Trajectory Prediction P Han, J Liu, J He, Z Zhang, S Yang, Y Tang, P Roop arXiv preprint arXiv:2311.18198, 2023 | | 2023 |
| Examination of alternative eGFR definitions on the performance of deep learning models for detection of chronic kidney disease from fundus photographs S An, E Vaghefi, S Yang, L Xie, D Squirrell PLOS ONE 18 (11), e0295073, 2023 | | 2023 |
| Systems and methods for processing of fundus images SEV Rezaei, D Squirrell, S Yang, S An, L Xie US Patent 11,766,223, 2023 | | 2023 |
| Replacing the Framingham-based equation for prediction of cardiovascular disease risk and adverse outcome by using artificial intelligence and retinal imaging E Vaghefi, D Squirrell, S An, S Yang, J Marshall arXiv preprint arXiv:2207.14685, 2022 | | 2022 |
Ehsan VaghefiToku Eyes - Unviersity of AucklandVerified email at tokueyes.com
