19 citations · 88 across the 11 of their papers we have counts for
12 papers
A Unified Variational Framework for Deep Weakly Supervised Image Segmentation
Yin King Chu, Lingfeng Li, Sung Ha Kang +2
We propose a unified variational framework for image segmentation under sparse pixel-level supervision. Our method is based on a simplex-constrained Potts model with a smooth perim…
DrivenMorph: Bridging Attention Mechanism and Variational Image Registration via Difference Modeling
Mingke Li, Jianping Zhang, Jinqiu Deng
Medical image registration benefits significantly from deep learning, yet existing approaches often lack physical explainability and fine-grained deformation control. Motivated by…
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…
Physics-Informed DeepMRI: Bridging the Gap from Heat Diffusion to k-Space Interpolation
Zhuo-Xu Cui, Congcong Liu, Xiaohong Fan +11
In the field of parallel imaging (PI), alongside image-domain regularization methods, substantial research has been dedicated to exploring -space interpolation. However, the int…
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…
A Bi-variant Variational Model for Diffeomorphic Image Registration with Relaxed Jacobian Determinant Constraints
Yanyan Li, Ke Chen, Chong Chen +1
Diffeomorphic registration is a widely used technique for finding a smooth and invertible transformation between two coordinate systems, which are measured using template and refer…
FAS-UNet: A Novel FAS-driven Unet to Learn Variational Image Segmentation
Hui Zhu, Shi Shu, Jianping Zhang
Solving variational image segmentation problems with hidden physics is often expensive and requires different algorithms and manually tunes model parameter. The deep learning metho…
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…
A unifying framework for -dimensional quasi-conformal mappings
Daoping Zhang, Gary P. T. Choi, Jianping Zhang +1
With the advancement of computer technology, there is a surge of interest in effective mapping methods for objects in higher-dimensional spaces. To establish a one-to-one correspon…
Diffeomorphic Image Registration with An Optimal Control Relaxation and Its Implementation
Jianping Zhang, Yanyan Li
Image registration has played an important role in image processing problems, especially in medical imaging applications. It is well known that when the deformation is large, many…
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…
A Total Fractional-Order Variation Model for Image Restoration with Non-homogeneous Boundary Conditions and its Numerical Solution
Jianping Zhang, Ke Chen
To overcome the weakness of a total variation based model for image restoration, various high order (typically second order) regularization models have been proposed and studied re…