Search Results for author: Frederick H. Epstein

Found 2 papers, 1 papers with code

LaMoD: Latent Motion Diffusion Model For Myocardial Strain Generation

1 code implementation2 Jul 2024 Jiarui Xing, Nivetha Jayakumar, Nian Wu, Yu Wang, Frederick H. Epstein, Miaomiao Zhang

More specifically, our method first employs an encoder from a pre-trained registration network that learns latent motion features (also considered as deformation-based shape features) from image sequences.

Image Registration

Multitask Learning for Improved Late Mechanical Activation Detection of Heart from Cine DENSE MRI

no code implementations11 Nov 2022 Jiarui Xing, Shuo Wang, Kenneth C. Bilchick, Frederick H. Epstein, Amit R. Patel, Miaomiao Zhang

With a newly introduced auxiliary LMA region classification sub-network, our proposed model shows more robustness to the complex pattern cause by myocardial scar, significantly eliminates their negative effects in LMA detection, and in turn improves the performance of scar classification.

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