1 code implementation • 26 Nov 2023 • Zhanghao Chen, Yifei Sun, Wenjian Qin, Ruiquan Ge, Cheng Pan, Wenming Deng, Zhou Liu, Wenwen Min, Ahmed Elazab, Xiang Wan, Changmiao Wang
As a remedial measure, bone suppression techniques have been introduced.
1 code implementation • 20 Sep 2022 • Haofeng Li, Junjia Huang, Guanbin Li, Zhou Liu, Yihong Zhong, Yingying Chen, Yunfei Wang, Xiang Wan
Deep neural networks (DNNs) have been widely adopted in brain lesion detection and segmentation.
no code implementations • 14 Jul 2022 • Zhou Liu, YuJun Li, Zhengying Liu, Lin Li, Zhenguo Li
We define the normalized form of trigonometric identities, design a set of rules for the proof and put forward a method which can generate theoretically infinite trigonometric identities.
no code implementations • 27 Aug 2020 • Zhou Liu, Lei Yu, Gui-Song Xia, Hong Sun
To address this problem, we exploit the Pareto distribution as the priori of the weighting matrix, based on which an accurate and robust weight estimator is proposed for mixed noise removal.
no code implementations • 11 Oct 2019 • Yulun Jiang, Lei Yu, Haijian Zhang, Zhou Liu
Recently, the paradigm of unfolding iterative algorithms into finite-length feed-forward neural networks has achieved a great success in the area of sparse recovery.
no code implementations • 3 Aug 2019 • Menglei Zhang, Zhou Liu, Lei Yu
Convolutional Sparse Coding (CSC) has been attracting more and more attention in recent years, for making full use of image global correlation to improve performance on various computer vision applications.
no code implementations • 31 Dec 2018 • Menglei Zhang, Zhou Liu, Lei Yu
We extend LISTA to its convolutional version and build the main part of our model by strictly following the convolutional form, which improves the network's interpretability.
Ranked #33 on Image Super-Resolution on BSD100 - 4x upscaling