Miaomiao Zhang

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Tom FletcherUniversity of VirginiaVerified email at virginia.edu
Polina GollandMassachusetts Institute of TechnologyVerified email at mit.edu
Jian WangEli LillyVerified email at lilly.com
Jiarui XingPostdoc, Yale UniversityVerified email at yale.edu
Alexandra GolbyProfessor of NeurosurgeryVerified email at bwh.harvard.edu
Jie Luo (Jax)Harvard Medical SchoolVerified email at mgh.harvard.edu
Matthew ToewsÉcole de Technologie Supérieure | www.etsmtl.caVerified email at etsmtl.ca
Frederick EpsteinUniversity of Virginia, GE Medical Systems, Lab of Cardiac Energetics, NHLBI, NIHVerified email at virginia.edu
William M. Wells III (Sandy)Harvard Medical School, M.I.T.Verified email at bwh.harvard.edu
Sarah Frisken (aka Gibson)Research Associate, Brigham and Women's HospitalVerified email at bwh.harvard.edu
P. Ellen Grant, MD MSc FACRBoston Children's Hospital, Harvard Medical SchoolVerified email at childrens.harvard.edu
Esra Abaci TurkAssociate Scientific Researcher at Boston Children's HospitalVerified email at childrens.harvard.edu
Ruizhi (Ray) LiaoMassachusetts Institute of TechnologyVerified email at mit.edu
Inês Prata MachadoPostdoctoral Research Associate at University of CambridgeVerified email at cam.ac.uk
Jie LuoShanghai Jiao Tong UniversityVerified email at mit.edu
Nikhil SinghUniversity of North Carolina, Chapel Hill, University of UtahVerified email at cs.utah.edu
Amit R. PatelUniversity of VirginiaVerified email at virginia.edu
Adrian V DalcaHarvard Medical School & Massachusetts Institute of TechnologyVerified email at mit.edu
Prashin Unadkat, MBBS, PhDNorthwell Health, Hofstra UniversityVerified email at northwell.edu
Greg M. FleishmanSoftware Engineer III, Janelia Research CampusVerified email at janelia.hhmi.org

Miaomiao Zhang

Assistant Professor, University of Virginia

Verified email at virginia.edu - Homepage

Image analysis machine learning shape analysis


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Probabilistic principal geodesic analysis M Zhang, PT Fletcher Advances in Neural Information Processing Systems (NeurIPS), 1178-1186, 2013	106	2013
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	104	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	102	2020
Finite-Dimensional Lie Algebras for Fast Diffeomorphic Image Registration M Zhang, PT Fletcher Information Processing in Medical Imaging (IPMI), 2015	91	2015
Fast diffeomorphic image registration via Fourier-approximated Lie algebras M Zhang, PT Fletcher International Journal of Computer Vision 127 (1), 61-73, 2019	76	2019
Frequency diffeomorphisms for efficient image registration M Zhang, R Liao, AV Dalca, EA Turk, J Luo, PE Grant, P Golland IPMI 2017, 2017	61	2017
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	48	2020
Bayesian Principal Geodesic Analysis for Estimating Intrinsic Diffeomorphic Image Variability M Zhang, PT Fletcher Medical Image Analysis (MedIA), 2015	33	2015
Bayesian Principal Geodesic Analysis in Diffeomorphic Image Registration M Zhang, PT Fletcher Medical Image Computing and Computer Assisted Intervention (MICCAI), 2014	33	2014
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	32	2019
Statistical shape analysis: From landmarks to diffeomorphisms M Zhang, P Golland Medical image analysis ( (MedIA)) 33, 155-158, 2016	32	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
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	28*	2016
Efficient laplace approximation for bayesian registration uncertainty quantification J Wang, WM Wells III, P Golland, M Zhang International Conference on Medical Image Computing and Computer-Assisted …, 2018	22	2018
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	21	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	21	2017
Low-Dimensional Statistics of Anatomical Variability Via Compact Representation of Image Deformations M Zhang, WMW III, P Golland	17	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	17	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	15	2017
NeurEPDiff: Neural Operators to Predict Geodesics in Deformation Spaces N Wu, M Zhang Information Processing in Medical Imaging (IPMI), https://arxiv.org/abs/2303 …, 2023	12	2023

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