| Quicksilver: Fast predictive image registration–a deep learning approach X Yang, R Kwitt, M Styner, M Niethammer NeuroImage 158, 378-396, 2017 | 162 | 2017 |
| Fast predictive image registration X Yang, R Kwitt, M Niethammer Deep Learning and Data Labeling for Medical Applications, 48-57, 2016 | 67 | 2016 |
| Uncertainty quantification for LDDMM using a low-rank Hessian approximation X Yang, M Niethammer International Conference on Medical Image Computing and Computer-Assisted …, 2015 | 11 | 2015 |
| Registration of pathological images X Yang, X Han, E Park, S Aylward, R Kwitt, M Niethammer International Workshop on Simulation and Synthesis in Medical Imaging, 97-107, 2016 | 9 | 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 | 6 | 2017 |
| Fast predictive simple geodesic regression Z Ding, G Fleishman, X Yang, P Thompson, R Kwitt, M Niethammer, ... Medical image analysis 56, 193-209, 2019 | 4 | 2019 |
| Regression uncertainty on the Grassmannian Y Hong, X Yang, R Kwitt, M Styner, M Niethammer Artificial Intelligence and Statistics, 785-793, 2017 | 4 | 2017 |
| Uncertainty Quantification, Image Synthesis and Deformation Prediction for Image Registration X Yang | 3 | 2017 |
| 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 | 3 | 2017 |
| 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 | | 2019 |
| 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 |
