19 citations · 88 across the 11 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
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…