| Adaptive contrast for image regression in computer-aided disease assessment W Dai, X Li, WHK Chiu, MD Kuo, KT Cheng IEEE Transactions on Medical Imaging 41 (5), 1255-1268, 2021 | 23 | 2021 |
| Fedsgc: Federated simple graph convolution for node classification TH Cheung, W Dai, S Li IJCAI Workshops, 2021 | 20 | 2021 |
| Cyclical self-supervision for semi-supervised ejection fraction prediction from echocardiogram videos W Dai, X Li, X Ding, KT Cheng IEEE Transactions on Medical Imaging 42 (5), 1446-1461, 2022 | 18 | 2022 |
| Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks W Dai, X Li, KT Cheng Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 7304-7313, 2023 | 10 | 2023 |
| Rental adjustment and housing prices: Evidence from Hong Kong's residential property market H Wang, C Zhang, W Dai Hong Kong Institute for Monetary Research, 2013 | 6 | 2013 |
| Semi-supervised contrastive learning for deep regression with ordinal rankings from spectral seriation W Dai, Y Du, H Bai, KT Cheng, X Li Advances in Neural Information Processing Systems 36, 57087-57098, 2023 | 3 | 2023 |
| Fundus-enhanced disease-aware distillation model for retinal disease classification from OCT images L Wang, W Dai, M Jin, C Ou, X Li International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 3 | 2023 |
| Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes W Dai, X Li, T Yu, D Zhao, J Shen, KT Cheng International Conference on Medical Image Computing and Computer-Assisted …, 2023 | | 2023 |
