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Miaomiao Zhang 0002
Person information
- affiliation: University of Virginia, UVA, Computer Science and Electrical Computer Engineering, Charlottesville, USA
- affiliation:
Other persons with the same name
- Miaomiao Zhang (aka: Miao-Miao Zhang) — disambiguation page
- Miaomiao Zhang 0001
(aka: MiaoMiao Zhang 0001) — Shanghai Jiao Tong University, Department of Automation, China
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2020 – today
- 2024
- [c29]Jiarui Xing, Nian Wu, Kenneth C. Bilchick, Frederick H. Epstein, Miaomiao Zhang:
Multimodal Learning to Improve Cardiac Late Mechanical Activation Detection from Cine MR Images. ISBI 2024: 1-4 - [c28]Jiarui Xing, Nivetha Jayakumar, Nian Wu, Yu Wang, Frederick H. Epstein, Miaomiao Zhang:
LaMoD: Latent Motion Diffusion Model for Myocardial Strain Generation. ShapeMI@MICCAI 2024: 164-177 - [c27]Nian Wu, Jiarui Xing, Miaomiao Zhang:
TLRN: Temporal Latent Residual Networks for Large Deformation Image Registration. MICCAI (2) 2024: 728-738 - [i17]Jiarui Xing, Nian Wu, Kenneth C. Bilchick, Frederick H. Epstein, Miaomiao Zhang:
Multimodal Learning To Improve Cardiac Late Mechanical Activation Detection From Cine MR Images. CoRR abs/2402.18507 (2024) - [i16]Jiarui Xing, Nivetha Jayakumar, Nian Wu, Yu Wang, Frederick H. Epstein, Miaomiao Zhang:
LaMoD: Latent Motion Diffusion Model For Myocardial Strain Generation. CoRR abs/2407.02229 (2024) - [i15]Nian Wu, Jiarui Xing, Miaomiao Zhang:
TLRN: Temporal Latent Residual Networks For Large Deformation Image Registration. CoRR abs/2407.11219 (2024) - 2023
- [c26]Jian Wang, Jiarui Xing, Jason Druzgal, William M. Wells III, Miaomiao Zhang:
MetaMorph: Learning Metamorphic Image Transformation with Appearance Changes. IPMI 2023: 576-587 - [c25]Nian Wu, Miaomiao Zhang:
NeurEPDiff: Neural Operators to Predict Geodesics in Deformation Spaces. IPMI 2023: 588-600 - [c24]Jiarui Xing, Shuo Wang, Kenneth C. Bilchick, Frederick H. Epstein, Amit R. Patel, Miaomiao Zhang:
Multitask Learning for Improved Late Mechanical Activation Detection of Heart from Cine Dense MRI. ISBI 2023: 1-5 - [c23]Jiarui Xing, Shuo Wang, Kenneth C. Bilchick, Amit R. Patel, Miaomiao Zhang:
Joint Deep Learning for Improved Myocardial Scar Detection from Cardiac MRI. ISBI 2023: 1-5 - [c22]Nivetha Jayakumar, Jiarui Xing, Tonmoy Hossain, Frederick H. Epstein, Kenneth C. Bilchick, Miaomiao Zhang:
Activation From Sparse 2D Cardiac MRIs. ML4H@NeurIPS 2023: 190-200 - [i14]Jian Wang, Jiarui Xing, Jason Druzgal, William M. Wells III, Miaomiao Zhang:
MetaMorph: Learning Metamorphic Image Transformation With Appearance Changes. CoRR abs/2303.04849 (2023) - [i13]Nian Wu, Miaomiao Zhang:
NeurEPDiff: Neural Operators to Predict Geodesics in Deformation Spaces. CoRR abs/2303.07115 (2023) - 2022
- [c21]Nian Wu, Jian Wang, Miaomiao Zhang, Guixu Zhang, Yaxin Peng, Chaomin Shen:
Hybrid Atlas Building with Deep Registration Priors. ISBI 2022: 1-5 - [c20]Jian Wang, Miaomiao Zhang:
Geo-SIC: Learning Deformable Geometric Shapes in Deep Image Classifiers. NeurIPS 2022 - [e1]Alessa Hering, Julia A. Schnabel
Biomedical Image Registration - 10th International Workshop, WBIR 2022, Munich, Germany, July 10-12, 2022, Proceedings. Lecture Notes in Computer Science 13386, Springer 2022, ISBN 978-3-031-11202-7 [contents] - [i12]Jian Wang, Miaomiao Zhang:
Geo-SIC: Learning Deformable Geometric Shapes in Deep Image Classifiers. CoRR abs/2210.13704 (2022) - [i11]Jiarui Xing, Shuo Wang, Kenneth C. Bilchick, Frederick H. Epstein, Amit R. Patel, Miaomiao Zhang:
Multitask Learning for Improved Late Mechanical Activation Detection of Heart from Cine DENSE MRI. CoRR abs/2211.06238 (2022) - [i10]Jiarui Xing, Shuo Wang, Kenneth C. Bilchick, Amit R. Patel, Miaomiao Zhang:
Joint Deep Learning for Improved Myocardial Scar Detection from Cardiac MRI. CoRR abs/2211.06247 (2022) - 2021
- [c19]Jiarui Xing, Sona Ghadimi, Mohamad Abdi
Deep Networks To Automatically Detect Late-Activating Regions Of The Heart. ISBI 2021: 1902-1906 - [c18]Jian Wang, Miaomiao Zhang:
Bayesian Atlas Building with Hierarchical Priors for Subject-Specific Regularization. MICCAI (4) 2021: 76-86 - [i9]Jian Wang, Miaomiao Zhang:
Bayesian Atlas Building with Hierarchical Priors for Subject-specific Regularization. CoRR abs/2107.05698 (2021) - [i8]Nian Wu, Jian Wang, Miaomiao Zhang, Guixu Zhang, Yaxin Peng, Chaomin Shen:
Hybrid Atlas Building with Deep Registration Priors. CoRR abs/2112.06406 (2021) - 2020
- [c17]Jian Wang, Miaomiao Zhang:
DeepFLASH: An Efficient Network for Learning-Based Medical Image Registration. CVPR 2020: 4443-4451 - [i7]Jian Wang, Miaomiao Zhang:
DeepFLASH: An Efficient Network for Learning-based Medical Image Registration. CoRR abs/2004.02097 (2020) - [i6]Jian Wang, Miaomiao Zhang:
Deep Learning for Regularization Prediction in Diffeomorphic Image Registration. CoRR abs/2011.14229 (2020)
2010 – 2019
- 2019
- [j5]Miaomiao Zhang
Fast Diffeomorphic Image Registration via Fourier-Approximated Lie Algebras. Int. J. Comput. Vis. 127(1): 61-73 (2019) - [c16]Jian Wang, Wei W. Xing
Data-Driven Model Order Reduction for Diffeomorphic Image Registration. IPMI 2019: 694-705 - [c15]Jiarui Xing, Ulugbek Kamilov, Wenjie Wu, Yong Wang, Miaomiao Zhang:
Plug-and-Play Priors for Reconstruction-Based Placental Image Registration. SUSI/PIPPI@MICCAI 2019: 133-142 - [c14]Youshan Zhang, Jiarui Xing, Miaomiao Zhang:
Mixture Probabilistic Principal Geodesic Analysis. MBIA/MFCA@MICCAI 2019: 196-208 - [c13]Jie Luo, Alireza Sedghi, Karteek Popuri, Dana Cobzas, Miaomiao Zhang, Frank Preiswerk, Matthew Toews, Alexandra J. Golby, Masashi Sugiyama
On the Applicability of Registration Uncertainty. MICCAI (2) 2019: 410-419 - [i5]Ruizhi Liao, Esra Abaci Turk, Miaomiao Zhang, Jie Luo, Elfar Adalsteinsson, Patricia Ellen Grant, Polina Golland:
Temporal Registration in Application to In-utero MRI Time Series. CoRR abs/1903.02959 (2019) - [i4]Youshan Zhang, Jiarui Xing, Miaomiao Zhang:
Mixture Probabilistic Principal Geodesic Analysis. CoRR abs/1909.01412 (2019) - 2018
- [j4]Jie Luo, Sarah F. Frisken, Inês Machado, Miaomiao Zhang, Steve Pieper, Polina Golland, Matthew Toews, Prashin Unadkat
Using the variogram for vector outlier screening: application to feature-based image registration. Int. J. Comput. Assist. Radiol. Surg. 13(12): 1871-1880 (2018) - [c12]Jie Luo, Matthew Toews, Inês Machado, Sarah F. Frisken, Miaomiao Zhang, Frank Preiswerk, Alireza Sedghi, Hongyi Ding, Steve Pieper, Polina Golland, Alexandra J. Golby, Masashi Sugiyama
A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation. MICCAI (4) 2018: 30-38 - [c11]Jian Wang, William M. Wells III, Polina Golland, Miaomiao Zhang:
Efficient Laplace Approximation for Bayesian Registration Uncertainty Quantification. MICCAI (1) 2018: 880-888 - [i3]Jie Luo, Sarah F. Frisken, Karteek Popuri, Dana Cobzas, Frank Preiswerk, Matthew Toews, Miaomiao Zhang, Hongyi Ding, Polina Golland, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III:
On the Ambiguity of Registration Uncertainty. CoRR abs/1803.05266 (2018) - [i2]Jie Luo, Matthew Toews, Inês Machado, Sarah F. Frisken, Miaomiao Zhang, Frank Preiswerk, Alireza Sedghi, Hongyi Ding, Steve Pieper, Polina Golland, Alexandra J. Golby, Masashi Sugiyama, William M. Wells III:
A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation. CoRR abs/1803.07682 (2018) - 2017
- [j3]Miaomiao Zhang, William M. Wells III, Polina Golland:
Probabilistic modeling of anatomical variability using a low dimensional parameterization of diffeomorphisms. Medical Image Anal. 41: 55-62 (2017) - [c10]Miaomiao Zhang, Ruizhi Liao, Adrian V. Dalca, Esra Abaci Turk, Jie Luo, Patricia Ellen Grant
Frequency Diffeomorphisms for Efficient Image Registration. IPMI 2017: 559-570 - [c9]Yi Hong, Polina Golland, Miaomiao Zhang:
Fast Geodesic Regression for Population-Based Image Analysis. MICCAI (1) 2017: 317-325 - 2016
- [j2]Miaomiao Zhang, Polina Golland:
Statistical shape analysis: From landmarks to diffeomorphisms. Medical Image Anal. 33: 155-158 (2016) - [c8]Yang Gao, Miaomiao Zhang, Karen Grewen, P. Thomas Fletcher, Guido Gerig
Image registration and segmentation in longitudinal MRI using temporal appearance modeling. ISBI 2016: 629-632 - [c7]Ruizhi Liao, Esra Abaci Turk, Miaomiao Zhang, Jie Luo, Patricia Ellen Grant
Temporal Registration in In-Utero Volumetric MRI Time Series. MICCAI (3) 2016: 54-62 - [c6]Miaomiao Zhang, William M. Wells III, Polina Golland:
Low-Dimensional Statistics of Anatomical Variability via Compact Representation of Image Deformations. MICCAI (3) 2016: 166-173 - [i1]Ruizhi Liao, Esra Abaci Turk, Miaomiao Zhang, Jie Luo, Patricia Ellen Grant, Elfar Adalsteinsson, Polina Golland:
Temporal Registration in In-Utero Volumetric MRI Time Series. CoRR abs/1608.03907 (2016) - 2015
- [j1]Miaomiao Zhang
Bayesian principal geodesic analysis for estimating intrinsic diffeomorphic image variability. Medical Image Anal. 25(1): 37-44 (2015) - [c5]Miaomiao Zhang, P. Thomas Fletcher:
Finite-Dimensional Lie Algebras for Fast Diffeomorphic Image Registration. IPMI 2015: 249-260 - [c4]Michelle Hromatka, Miaomiao Zhang, Greg M. Fleishman, Boris Gutman, Neda Jahanshad, Paul M. Thompson
A Hierarchical Bayesian Model for Multi-Site Diffeomorphic Image Atlases. MICCAI (2) 2015: 372-379 - 2014
- [c3]Miaomiao Zhang, P. Thomas Fletcher:
Bayesian Principal Geodesic Analysis in Diffeomorphic Image Registration. MICCAI (3) 2014: 121-128 - 2013
- [c2]Miaomiao Zhang, Nikhil Singh, P. Thomas Fletcher:
Bayesian Estimation of Regularization and Atlas Building in Diffeomorphic Image Registration. IPMI 2013: 37-48 - [c1]Miaomiao Zhang, P. Thomas Fletcher:
Probabilistic Principal Geodesic Analysis. NIPS 2013: 1178-1186
Coauthor Index
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