19 citations · 88 across the 11 of their papers we have counts for
4 papers · 1 filter
A Symmetric Dynamic Learning Framework for Diffeomorphic Medical Image Registration
Jinqiu Deng, Ke Chen, Mingke Li +4
Diffeomorphic image registration is crucial for various medical imaging applications because it can preserve the topology of the transformation. This study introduces DCCNN-LSTM-Re…
Nest-DGIL: Nesterov-optimized Deep Geometric Incremental Learning for CS Image Reconstruction
Xiaohong Fan, Yin Yang, Ke Chen +2
Proximal gradient-based optimization is one of the most common strategies to solve inverse problem of images, and it is easy to implement. However, these techniques often generate…
An Interpretable MRI Reconstruction Network with Two-grid-cycle Correction and Geometric Prior Distillation
Xiaohong Fan, Yin Yang, Ke Chen +2
Although existing deep learning compressed-sensing-based Magnetic Resonance Imaging (CS-MRI) methods have achieved considerably impressive performance, explainability and generaliz…
Deep Geometric Distillation Network for Compressive Sensing MRI
Xiaohong Fan, Yin Yang, Jianping Zhang
Compressed sensing (CS) is an efficient method to reconstruct MR image from small sampled data in -space and accelerate the acquisition of MRI. In this work, we propose a novel…