3 citations · 5 across the 12 of their papers we have counts for
6 papers · 1 filter
TA-LSDiff:Topology-Aware Diffusion Guided by a Level Set Energy for Pancreas Segmentation
Yue Gou, Fanghui Song, Yuming Xing +3
Pancreas segmentation in medical image processing is a persistent challenge due to its small size, low contrast against adjacent tissues, and significant topological variations. Tr…
Incorporating Local Hölder Regularity into PINNs for Solving Elliptic PDEs
Qirui Zhou, Jiebao Sun, Yi Ran +1
In this paper, local Hölder regularization is incorporated into a physics-informed neural networks (PINNs) framework for solving elliptic partial differential equations (PDEs). Mot…
Coupling local and nonlocal total variation flow for image despeckling
Yi Ran, Zhichang Guo, Kehan Shi +4
Nonlocal equations effectively preserve textures but exhibit weak regularization effects in image denoising, whereas local equations offer strong denoising capabilities yet fail to…
Progressive Alignment Degradation Learning for Pansharpening
Enzhe Zhao, Zhichang Guo, Yao Li +2
Deep learning-based pansharpening has been shown to effectively generate high-resolution multispectral (HRMS) images. To create supervised ground-truth HRMS images, synthetic data…
A class of thin-film equations with space-time dependent gradient nonlinearity and its application to image sharpening
Yuhang Li, Zhichang Guo, Fanghui Song +2
We introduce a class of thin-film equations with space-time dependent gradient nonlinearity and apply them to image sharpening. By modifying the potential well method, we overcome…
On the solutions to variable-order fractional p-Laplacian evolution equation with L^1-data
Sixuan Liu, Gang Dong, Hui Bi +1
This study investigates Dirichlet boundary condition related to a class of nonlinear parabolic problem with nonnegative -data, which has a variable-order fractional -Laplac…