Miaomiao Zhang
Miaomiao Zhang
Assistant Professor, University of Virginia
Verified email at - Homepage
Cited by
Cited by
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
Probabilistic principal geodesic analysis
M Zhang, PT Fletcher
Advances in Neural Information Processing Systems (NIPS), 1178-1186, 2013
Finite-Dimensional Lie Algebras for Fast Diffeomorphic Image Registration
M Zhang, PT Fletcher
Information Processing in Medical Imaging (IPMI), 2015
Frequency diffeomorphisms for efficient image registration
M Zhang, R Liao, AV Dalca, EA Turk, J Luo, PE Grant, P Golland
IPMI 2017, 2017
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
Fast diffeomorphic image registration via Fourier-approximated Lie algebras
M Zhang, PT Fletcher
International Journal of Computer Vision 127 (1), 61-73, 2019
Bayesian Principal Geodesic Analysis in Diffeomorphic Image Registration
M Zhang, PT Fletcher
Medical Image Computing and Computer Assisted Intervention (MICCAI), 2014
Bayesian Principal Geodesic Analysis for Estimating Intrinsic Diffeomorphic Image Variability
M Zhang, PT Fletcher
Medical Image Analysis (MedIA), 2015
Statistical shape analysis: From landmarks to diffeomorphisms
M Zhang, P Golland
Medical image analysis 33, 155-158, 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
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
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
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
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
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
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
Low-Dimensional Statistics of Anatomical Variability Via Compact Representation of Image Deformations
M Zhang, WMW III, P Golland
Fast Geodesic Regression for Population-Based Image Analysis
Y Hong, P Golland, M Zhang
Image Registration and Segmentation in Longitudinal MRI Using Temporal Appearance Modelling
Y Gao, M Zhang, K Grewen, PT Fletcher, G Gerig
The IEEE International Symposium on Biomedical Imaging (ISBI), 2016
Probabilistic Geodesic Models for Regression and Dimensionality Reduction on Riemannian Manifolds
PT Fletcher, M Zhang
Riemannian Computing in Computer Vision (RCCV), 2015
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