Twin auxilary classifiers gan M Gong, Y Xu, C Li, K Zhang, K Batmanghelich Advances in neural information processing systems 32, 2019 | 90 | 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 | 62* | 2022 |
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 | 59 | 2023 |
Generative-discriminative complementary learning Y Xu, M Gong, J Chen, T Liu, K Zhang, K Batmanghelich AAAI2020, 2019 | 32 | 2019 |
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 | 28 | 2024 |
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 | 27 | 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 | 24 | 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 | 23 | 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 | 22 | 2022 |
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 | 15 | 2022 |
Mobilediffusion: Subsecond text-to-image generation on mobile devices Y Zhao, Y Xu, Z Xiao, T Hou arXiv preprint arXiv:2311.16567, 2023 | 12 | 2023 |
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 | 8* | 2023 |
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 | 6 | 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 | 6 | 2023 |
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 | 6 | 2019 |
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 |
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 | 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 |
MedSyn: Text-guided Anatomy-aware Synthesis of High-Fidelity 3D CT Images Y Xu, L Sun, W Peng, S Jia, K Morrison, A Perer, A Zandifar, ... IEEE Transactions on Medical Imaging, 2024 | 1 | 2024 |