| Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge S Bakas, M Reyes, A Jakab, S Bauer, M Rempfler, A Crimi, RT Shinohara, ... arXiv preprint arXiv:1811.02629, 2018 | 2778 | 2018 |
| 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 | 176 | 2022 |
| Ufogen: You forward once large scale text-to-image generation via diffusion gans Y Xu, Y Zhao, Z Xiao, T Hou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 166 | 2024 |
| Twin auxilary classifiers gan M Gong, Y Xu, C Li, K Zhang, K Batmanghelich Advances in neural information processing systems 32, 2019 | 117 | 2019 |
| CrossMoDA 2021 challenge: Benchmark of cross-modality domain adaptation techniques for vestibular schwannoma and cochlea segmentation R Dorent, A Kujawa, M Ivory, S Bakas, N Rieke, S Joutard, B Glocker, ... Medical Image Analysis 83, 102628, 2023 | 116 | 2023 |
| Mobilediffusion: Instant text-to-image generation on mobile devices Y Zhao, Y Xu, Z Xiao, H Jia, T Hou European Conference on Computer Vision, 225-242, 2024 | 108* | 2024 |
| MedSyn: text-guided anatomy-aware synthesis of high-fidelity 3-D CT images Y Xu, L Sun, W Peng, S Jia, K Morrison, A Perer, A Zandifar, ... IEEE Transactions on Medical Imaging 43 (10), 3648-3660, 2024 | 70 | 2024 |
| 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 | 57 | 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 | 51 | 2022 |
| Generative-discriminative complementary learning Y Xu, M Gong, J Chen, T Liu, K Zhang, K Batmanghelich AAAI2020, 2019 | 44 | 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 | 39 | 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 | 37 | 2021 |
| 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 | 36 | 2023 |
| 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 | 35 | 2022 |
| Multi-scale masked 3-D U-net for brain tumor segmentation Y Xu, M Gong, H Fu, D Tao, K Zhang, K Batmanghelich International MICCAI Brainlesion Workshop, 222-233, 2018 | 30 | 2018 |
| Sf-v: Single forward video generation model Z Zhang, Y Li, Y Wu, A Kag, I Skorokhodov, W Menapace, A Siarohin, ... Advances in Neural Information Processing Systems 37, 103599-103618, 2024 | 28 | 2024 |
| 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 | 26* | 2023 |
| 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 3, 2023 | 26 | 2023 |
| Evaluating 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, A Aljouie, W Peng arXiv preprint arXiv:2312.02366, 2023 | 25 | 2023 |
| Snapgen: Taming high-resolution text-to-image models for mobile devices with efficient architectures and training J Chen, D Hu, X Huang, H Coskun, A Sahni, A Gupta, A Goyal, D Lahiri, ... Proceedings of the Computer Vision and Pattern Recognition Conference, 7997-8008, 2025 | 17 | 2025 |
Mingming GongUniversity of Melbourne & Mohamed bin Zayed University of Artificial IntelligenceVerified email at unimelb.edu.au
