7 citations · 14 across the 5 of their papers we have counts for
10 papers
Geo-SIC: Learning Deformable Geometric Shapes in Deep Image Classifiers
Jian Wang, Miaomiao Zhang
Deformable shapes provide important and complex geometric features of objects presented in images. However, such information is oftentimes missing or underutilized as implicit know…
Bayesian Atlas Building with Hierarchical Priors for Subject-specific Regularization
Jian Wang, Miaomiao Zhang
This paper presents a novel hierarchical Bayesian model for unbiased atlas building with subject-specific regularizations of image registration. We develop an atlas construction pr…
Defending Medical Image Diagnostics against Privacy Attacks using Generative Methods
William Paul, Yinzhi Cao, Miaomiao Zhang +1
Machine learning (ML) models used in medical imaging diagnostics can be vulnerable to a variety of privacy attacks, including membership inference attacks, that lead to violations…
Deep Networks to Automatically Detect Late-activating Regions of the Heart
Jiarui Xing, Sona Ghadimi, Mohammad Abdishektaei +3
This paper presents a novel method to automatically identify late-activating regions of the left ventricle from cine Displacement Encoding with Stimulated Echo (DENSE) MR images. W…
DeepFLASH: An Efficient Network for Learning-based Medical Image Registration
Jian Wang, Miaomiao Zhang
This paper presents DeepFLASH, a novel network with efficient training and inference for learning-based medical image registration. In contrast to existing approaches that learn sp…
Mixture Probabilistic Principal Geodesic Analysis
Youshan Zhang, Jiarui Xing, Miaomiao Zhang
Dimensionality reduction on Riemannian manifolds is challenging due to the complex nonlinear data structures. While probabilistic principal geodesic analysis~(PPGA) has been propos…