| Bayesian estimation of regularization and atlas building in diffeomorphic image registration M Zhang, N Singh, PT Fletcher Information Processing in Medical Imaging (IPMI), 37-48, 2013 | 102 | 2013 |
| Probabilistic principal geodesic analysis M Zhang, PT Fletcher Advances in Neural Information Processing Systems (NeurIPS), 1178-1186, 2013 | 100 | 2013 |
| Deepflash: An efficient network for learning-based medical image registration J Wang, M Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 87 | 2020 |
| Finite-Dimensional Lie Algebras for Fast Diffeomorphic Image Registration M Zhang, PT Fletcher Information Processing in Medical Imaging (IPMI), 2015 | 86 | 2015 |
| Fast diffeomorphic image registration via Fourier-approximated Lie algebras M Zhang, PT Fletcher International Journal of Computer Vision 127 (1), 61-73, 2019 | 60 | 2019 |
| Frequency diffeomorphisms for efficient image registration M Zhang, R Liao, AV Dalca, EA Turk, J Luo, PE Grant, P Golland IPMI 2017, 2017 | 58 | 2017 |
| Bayesian Principal Geodesic Analysis in Diffeomorphic Image Registration M Zhang, PT Fletcher Medical Image Computing and Computer Assisted Intervention (MICCAI), 2014 | 44* | 2014 |
| Hydrophilicity-dependent distinct frictional behaviors of different modified MXene nanosheets Y Guan, M Zhang, J Qin, X Ma, C Li, J Tang The Journal of Physical Chemistry C 124 (25), 13664-13671, 2020 | 43 | 2020 |
| Microcantilever aptasensor for detecting epithelial tumor marker Mucin 1 and diagnosing human breast carcinoma MCF-7 cells C Li, M Zhang, Z Zhang, J Tang, B Zhang Sensors and Actuators B: Chemical 297, 126759, 2019 | 33 | 2019 |
| Bayesian Principal Geodesic Analysis for Estimating Intrinsic Diffeomorphic Image Variability M Zhang, PT Fletcher Medical Image Analysis (MedIA), 2015 | 32 | 2015 |
| Statistical shape analysis: From landmarks to diffeomorphisms M Zhang, P Golland Medical image analysis ( (MedIA)) 33, 155-158, 2016 | 30 | 2016 |
| Using the variogram for vector outlier screening: application to feature-based image registration J Luo, S Frisken, I Machado, M Zhang, S Pieper, P Golland, M Toews, ... International journal of computer assisted radiology and surgery 13, 1871-1880, 2018 | 28 | 2018 |
| On the applicability of registration uncertainty J Luo, A Sedghi, K Popuri, D Cobzas, M Zhang, F Preiswerk, M Toews, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 27 | 2019 |
| Temporal registration in in-utero volumetric MRI time series R Liao, EA Turk, M Zhang, J Luo, PE Grant, E Adalsteinsson, P Golland Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016 | 24* | 2016 |
| A feature-driven active framework for ultrasound-based brain shift compensation J Luo, M Toews, I Machado, S Frisken, M Zhang, F Preiswerk, A Sedghi, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 20 | 2018 |
| Efficient laplace approximation for bayesian registration uncertainty quantification J Wang, WM Wells, P Golland, M Zhang Medical Image Computing and Computer Assisted Intervention–MICCAI 2018: 21st …, 2018 | 19 | 2018 |
| Fast Geodesic Regression for Population-Based Image Analysis Y Hong, P Golland, M Zhang International Conference on Medical Image Computing and Computer Assisted …, 2017 | 19 | 2017 |
| Low-Dimensional Statistics of Anatomical Variability Via Compact Representation of Image Deformations M Zhang, WMW III, P Golland | 16 | 2016 |
| SSHMT: Semi-supervised hierarchical merge tree for electron microscopy image segmentation T Liu, M Zhang, M Javanmardi, N Ramesh, T Tasdizen Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 15 | 2016 |
| Probabilistic modeling of anatomical variability using a low dimensional parameterization of diffeomorphisms M Zhang, WM Wells III, P Golland Medical image analysis 41, 55-62, 2017 | 13 | 2017 |
Tom FletcherUniversity of Virginia在 virginia.edu 的电子邮件经过验证
