8 citations · 11 across the 4 of their papers we have counts for
5 papers
Image Segmentation with Adaptive Spatial Priors from Joint Registration
Haifeng Li, Weihong Guo, Jun Liu +2
Image segmentation is a crucial but challenging task that has many applications. In medical imaging for instance, intensity inhomogeneity and noise are common. In thigh muscle imag…
StressNet: Deep Learning to Predict Stress With Fracture Propagation in Brittle Materials
Yinan Wang, Diane Oyen, Weihong +7
Catastrophic failure in brittle materials is often due to the rapid growth and coalescence of cracks aided by high internal stresses. Hence, accurate prediction of maximum internal…
A Novel Regularization Based on the Error Function for Sparse Recovery
Weihong Guo, Yifei Lou, Jing Qin +1
Regularization plays an important role in solving ill-posed problems by adding extra information about the desired solution, such as sparsity. Many regularization terms usually inv…
PCM-TV-TFV: A Novel Two Stage Framework for Image Reconstruction from Fourier Data
Weihong Guo, Guohui Song, Yue Zhang
We propose in this paper a novel two-stage Projection Correction Modeling (PCM) framework for image reconstruction from (non-uniform) Fourier measurements. PCM consists of a projec…
Single image super-resolution by approximated Heaviside functions
Liang-Jian Deng, Weihong Guo, Ting-Zhu Huang
Image super-resolution is a process to enhance image resolution. It is widely used in medical imaging, satellite imaging, target recognition, etc. In this paper, we conduct continu…