no code implementations • 26 Oct 2024 • Jiasen Zhang, Mingrui Yang, Weihong Guo, Brian A. Xavier, Michael Bolen, Xiaojuan Li
The segmentation of lung nodules plays a critical role in aiding physicians in distinguishing between malignant and benign lesions.
no code implementations • 16 May 2024 • Weihong Guo, Yifei Lou, Jing Qin, Ming Yan
Time-varying graph signal recovery has been widely used in many applications, including climate change, environmental hazard monitoring, and epidemic studies.
no code implementations • 19 Sep 2023 • Paramjyoti Mohapatra, Richard Lartey, Weihong Guo, Michael Judkovich, Xiaojuan Li
For instance, Magnetic Resonance (MR) muscle images often contain both of these issues, making muscle segmentation especially difficult.
no code implementations • 25 Jun 2023 • Junying Meng, Weihong Guo, Jun Liu, Mingrui Yang
The main objective of image segmentation is to divide an image into homogeneous regions for further analysis.
no code implementations • 29 Mar 2022 • Haifeng Li, Weihong Guo, Jun Liu, Li Cui, Dongxing Xie
In medical imaging for instance, intensity inhomogeneity and noise are common.
no code implementations • 29 May 2017 • 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.
no code implementations • 12 Mar 2015 • Liang-Jian Deng, Weihong Guo, Ting-Zhu Huang
We propose a new iterative model for single image super-resolution based on an observation: an image is consisted of smooth components and non-smooth components, and we use two classes of approximated Heaviside functions (AHFs) to represent them respectively.
no code implementations • 26 Sep 2014 • Jing Qin, Weihong Guo
Existing methods mostly work well on piecewise constant images but not so well on piecewise smooth images such as natural images, medical images that contain a lot of details.