| Diverse data augmentation for learning image segmentation with cross-modality annotations X Chen, C Lian, L Wang, H Deng, T Kuang, SH Fung, J Gateno, D Shen, ... Medical image analysis 71, 102060, 2021 | 58 | 2021 |
| Face frontalization using an appearance-flow-based convolutional neural network Z Zhang, X Chen, B Wang, G Hu, W Zuo, ER Hancock IEEE Transactions on Image Processing 28 (5), 2187-2199, 2018 | 49 | 2018 |
| Computing with viruses X Chen, MJ Pérez-Jiménez, L Valencia-Cabrera, B Wang, X Zeng Theoretical Computer Science 623, 146-159, 2016 | 46 | 2016 |
| One-shot generative adversarial learning for MRI segmentation of craniomaxillofacial bony structures X Chen, C Lian, L Wang, H Deng, SH Fung, D Nie, KH Thung, PT Yap, ... IEEE transactions on medical imaging 39 (3), 787-796, 2019 | 44 | 2019 |
| Anatomy-regularized representation learning for cross-modality medical image segmentation X Chen, C Lian, L Wang, H Deng, T Kuang, S Fung, J Gateno, PT Yap, ... IEEE transactions on medical imaging 40 (1), 274-285, 2020 | 40 | 2020 |
| Semi-supervised face frontalization in the wild Z Zhang, R Liang, X Chen, X Xu, G Hu, W Zuo, ER Hancock IEEE Transactions on Information Forensics and Security 16, 909-922, 2020 | 15 | 2020 |
| A graph-based approach to automated EUS image layer segmentation and abnormal region detection X Chen, Y Hu, Z Zhang, B Wang, L Zhang, F Shi, X Chen, X Jiang Neurocomputing 336, 79-91, 2019 | 12 | 2019 |
| Recovering variations in facial albedo from low resolution images X Chen, Z Zhang, B Wang, G Hu, ER Hancock Pattern Recognition 74, 373-384, 2018 | 4 | 2018 |
