| Quicksilver: Fast predictive image registration–a deep learning approach X Yang, R Kwitt, M Styner, M Niethammer NeuroImage 158, 378-396, 2017 | 545 | 2017 |
| Fast predictive image registration X Yang, R Kwitt, M Niethammer Deep Learning and Data Labeling for Medical Applications: First …, 2016 | 136 | 2016 |
| Fast predictive multimodal image registration X Yang, R Kwitt, M Styner, M Niethammer Biomedical Imaging (ISBI 2017), 2017 IEEE 14th International Symposium on …, 2017 | 25 | 2017 |
| Registration of pathological images X Yang, X Han, E Park, S Aylward, R Kwitt, M Niethammer Simulation and Synthesis in Medical Imaging: First International Workshop …, 2016 | 25 | 2016 |
| Semanticstylegan: Learning compositional generative priors for controllable image synthesis and editing Y Shi, X Yang, Y Wan, X Shen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 24 | 2022 |
| Uncertainty quantification for LDDMM using a low-rank Hessian approximation X Yang, M Niethammer Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015 | 19 | 2015 |
| Adversarial open domain adaptation for sketch-to-photo synthesis X Xiang, D Liu, X Yang, Y Zhu, X Shen, JP Allebach Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 18 | 2022 |
| Fast predictive simple geodesic regression Z Ding, G Fleishman, X Yang, P Thompson, R Kwitt, M Niethammer, ... Medical image analysis 56, 193-209, 2019 | 13 | 2019 |
| Efficient Registration of Pathological Images: A Joint PCA/Image-Reconstruction Approach X Han, X Yang, S Aylward, R Kwitt, M Niethammer Biomedical Imaging (ISBI 2017), 2017 IEEE 14th International Symposium on, 10-14, 2017 | 10 | 2017 |
| Uncertainty quantification, image synthesis and deformation prediction for image registration X Yang The University of North Carolina at Chapel Hill, 2017 | 10 | 2017 |
| Regression uncertainty on the grassmannian Y Hong, X Yang, R Kwitt, M Styner, M Niethammer Artificial Intelligence and Statistics, 785-793, 2017 | 8 | 2017 |
| Shifted diffusion for text-to-image generation Y Zhou, B Liu, Y Zhu, X Yang, C Chen, J Xu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 3 | 2023 |
| OPEN: Order-preserving Pointcloud Encoder Decoder Network for Body Shape Refinement H Zhu, Y Yuan, Y Zhu, X Yang, R Nevatia 2022 26th International Conference on Pattern Recognition (ICPR), 521-527, 2022 | 2 | 2022 |
| Multiseg pipeline: automatic tissue segmentation of brain MR images with subject-specific atlases K Pham, X Yang, M Niethammer, JC Prieto, M Styner Medical Imaging 2019: Biomedical Applications in Molecular, Structural, and …, 2019 | 1 | 2019 |
| Common Diffusion Noise Schedules and Sample Steps are Flawed S Lin, B Liu, J Li, X Yang arXiv preprint arXiv:2305.08891, 2023 | | 2023 |
| PAniC-3D: Stylized Single-view 3D Reconstruction from Portraits of Anime Characters S Chen, K Zhang, Y Shi, H Wang, Y Zhu, G Song, S An, J Kristjansson, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | | 2023 |
| Erratum to: Fast Predictive Simple Geodesic Regression Z Ding, G Fleishman, X Yang, P Thompson, R Kwitt, M Niethammer, ... Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical …, 2017 | | 2017 |
| OPEN: Order-preserving Pointcloud Encoder Decoder Network for Body Shape Refinement Supplementary Material H Zhu, Y Yuan, Y Zhu, X Yang, R Nevatia | | |
