| Twin auxilary classifiers gan M Gong, Y Xu, C Li, K Zhang, K Batmanghelich Advances in neural information processing systems 32, 2019 | 86 | 2019 |
| Hierarchical amortized GAN for 3D high resolution medical image synthesis L Sun, J Chen, Y Xu, M Gong, K Yu, K Batmanghelich IEEE journal of biomedical and health informatics 26 (8), 3966-3975, 2022 | 54* | 2022 |
| Generative-discriminative complementary learning Y Xu, M Gong, J Chen, T Liu, K Zhang, K Batmanghelich AAAI2020, 2019 | 31 | 2019 |
| Multi-scale masked 3-D U-net for brain tumor segmentation Y Xu, M Gong, H Fu, D Tao, K Zhang, K Batmanghelich Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries …, 2019 | 26 | 2019 |
| Dsanet: Dynamic segment aggregation network for video-level representation learning W Wu, Y Zhao, Y Xu, X Tan, D He, Z Zou, J Ye, Y Li, M Yao, Z Dong, Y Shi Proceedings of the 29th ACM International Conference on Multimedia, 1903-1911, 2021 | 23 | 2021 |
| Unaligned image-to-image translation by learning to reweight S Xie, M Gong, Y Xu, K Zhang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 22 | 2021 |
| Maximum spatial perturbation consistency for unpaired image-to-image translation Y Xu, S Xie, W Wu, K Zhang, M Gong, K Batmanghelich Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 21 | 2022 |
| Ufogen: You forward once large scale text-to-image generation via diffusion gans Y Xu, Y Zhao, Z Xiao, T Hou arXiv preprint arXiv:2311.09257, 2023 | 13 | 2023 |
| Adversarial consistency for single domain generalization in medical image segmentation Y Xu, S Xie, M Reynolds, M Ragoza, M Gong, K Batmanghelich International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 13 | 2022 |
| 3d-boxsup: Positive-unlabeled learning of brain tumor segmentation networks from 3d bounding boxes Y Xu, M Gong, J Chen, Z Chen, K Batmanghelich Frontiers in Neuroscience 14, 350, 2020 | 7 | 2020 |
| DreamInpainter: Text-Guided Subject-Driven Image Inpainting with Diffusion Models S Xie, Y Zhao, Z Xiao, KCK Chan, Y Li, Y Xu, K Zhang, T Hou arXiv preprint arXiv:2312.03771, 2023 | 5 | 2023 |
| Box-adapt: Domain-adaptive medical image segmentation using bounding boxsupervision Y Xu, M Gong, S Xie, K Batmanghelich arXiv preprint arXiv:2108.08432, 2021 | 5 | 2021 |
| Robust angular local descriptor learning Y Xu, M Gong, T Liu, K Batmanghelich, C Wang Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 5 | 2019 |
| Semi-Implicit Denoising Diffusion Models (SIDDMs) Y Xu, M Gong, S Xie, W Wei, M Grundmann, K Batmanghelich, T Hou arXiv preprint arXiv:2306.12511, 2023 | 4 | 2023 |
| MobileDiffusion: Subsecond Text-to-Image Generation on Mobile Devices Y Zhao, Y Xu, Z Xiao, T Hou arXiv preprint arXiv:2311.16567, 2023 | 3 | 2023 |
| Unpaired image-to-image translation with shortest path regularization S Xie, Y Xu, M Gong, K Zhang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 3 | 2023 |
| Compressed self-attention for deep metric learning Z Chen, M Gong, Y Xu, C Wang, K Zhang, B Du Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 3561-3568, 2020 | 3 | 2020 |
| Towards general purpose vision foundation models for medical image analysis: An experimental study of DINOv2 on radiology benchmarks M Baharoon, W Qureshi, J Ouyang, Y Xu, K Phol, A Aljouie, W Peng arXiv preprint arXiv:2312.02366, 2023 | 2 | 2023 |
| MedSyn: Text-guided Anatomy-aware Synthesis of High-Fidelity 3D CT Images Y Xu, L Sun, W Peng, S Visweswaran, K Batmanghelich arXiv preprint arXiv:2310.03559, 2023 | 1 | 2023 |
| CLIP3Dstyler: Language Guided 3D Arbitrary Neural Style Transfer M Gao, YW Xu, Y Zhao, T Hou, C Zhao, M Gong arXiv preprint arXiv:2305.15732, 2023 | | 2023 |
Mingming GongUniversity of Melbourne & Mohamed bin Zayed University of Artificial IntelligenceVerified email at unimelb.edu.au
