Miaomiao Zhang

Orcid: 0000-0001-6435-9723

Affiliations:
  • University of Virginia, UVA, Computer Science and Electrical Computer Engineering, Charlottesville, USA


According to our database1, Miaomiao Zhang authored at least 38 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2024
TPIE: Topology-Preserved Image Editing With Text Instructions.
CoRR, 2024

LaMoD: Latent Motion Diffusion Model for Myocardial Strain Generation.
Proceedings of the Shape in Medical Imaging - International Workshop, 2024

TLRN: Temporal Latent Residual Networks for Large Deformation Image Registration.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Multimodal Learning to Improve Cardiac Late Mechanical Activation Detection from Cine MR Images.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023
Activation From Sparse 2D Cardiac MRIs.
Proceedings of the Machine Learning for Health, 2023

Joint Deep Learning for Improved Myocardial Scar Detection from Cardiac MRI.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Multitask Learning for Improved Late Mechanical Activation Detection of Heart from Cine Dense MRI.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

NeurEPDiff: Neural Operators to Predict Geodesics in Deformation Spaces.
Proceedings of the Information Processing in Medical Imaging, 2023

MetaMorph: Learning Metamorphic Image Transformation with Appearance Changes.
Proceedings of the Information Processing in Medical Imaging, 2023

2022
Geo-SIC: Learning Deformable Geometric Shapes in Deep Image Classifiers.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Hybrid Atlas Building with Deep Registration Priors.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
Bayesian Atlas Building with Hierarchical Priors for Subject-Specific Regularization.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Deep Networks To Automatically Detect Late-Activating Regions Of The Heart.
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

2020
Deep Learning for Regularization Prediction in Diffeomorphic Image Registration.
CoRR, 2020

DeepFLASH: An Efficient Network for Learning-Based Medical Image Registration.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Fast Diffeomorphic Image Registration via Fourier-Approximated Lie Algebras.
Int. J. Comput. Vis., 2019

Temporal Registration in Application to In-utero MRI Time Series.
CoRR, 2019

Mixture Probabilistic Principal Geodesic Analysis.
Proceedings of the Multimodal Brain Image Analysis and Mathematical Foundations of Computational Anatomy, 2019

Plug-and-Play Priors for Reconstruction-Based Placental Image Registration.
Proceedings of the Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, 2019

On the Applicability of Registration Uncertainty.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

Data-Driven Model Order Reduction for Diffeomorphic Image Registration.
Proceedings of the Information Processing in Medical Imaging, 2019

2018
On the Ambiguity of Registration Uncertainty.
CoRR, 2018

Using the variogram for vector outlier screening: application to feature-based image registration.
Int. J. Comput. Assist. Radiol. Surg., 2018

Efficient Laplace Approximation for Bayesian Registration Uncertainty Quantification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

A Feature-Driven Active Framework for Ultrasound-Based Brain Shift Compensation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

2017
Probabilistic modeling of anatomical variability using a low dimensional parameterization of diffeomorphisms.
Medical Image Anal., 2017

Fast Geodesic Regression for Population-Based Image Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Frequency Diffeomorphisms for Efficient Image Registration.
Proceedings of the Information Processing in Medical Imaging, 2017

2016
Statistical shape analysis: From landmarks to diffeomorphisms.
Medical Image Anal., 2016

Low-Dimensional Statistics of Anatomical Variability via Compact Representation of Image Deformations.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Temporal Registration in In-Utero Volumetric MRI Time Series.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

Image registration and segmentation in longitudinal MRI using temporal appearance modeling.
Proceedings of the 13th IEEE International Symposium on Biomedical Imaging, 2016

2015
Bayesian principal geodesic analysis for estimating intrinsic diffeomorphic image variability.
Medical Image Anal., 2015

A Hierarchical Bayesian Model for Multi-Site Diffeomorphic Image Atlases.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

Finite-Dimensional Lie Algebras for Fast Diffeomorphic Image Registration.
Proceedings of the Information Processing in Medical Imaging, 2015

2014
Bayesian Principal Geodesic Analysis in Diffeomorphic Image Registration.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013
Probabilistic Principal Geodesic Analysis.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Bayesian Estimation of Regularization and Atlas Building in Diffeomorphic Image Registration.
Proceedings of the Information Processing in Medical Imaging, 2013


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