1 code implementation • 13 Aug 2023 • Yuting Zhu, Qiang He, YuDong Yao, Yueyang Teng
Note that we use LDCT images based on the noisy-as-clean strategy for corruption instead of NDCT images.
1 code implementation • 9 Jul 2023 • Yuanheng Zhang, Nan Jiang, Zhaoheng Xie, Junying Cao, Yueyang Teng
Accurately annotated ultrasonic images are vital components of a high-quality medical report.
no code implementations • 6 May 2023 • Shuai Bian, Shouliang Qi, Chen Li, YuDong Yao, Yueyang Teng
NL-CS Net is composed of the up-sampling module and the recovery module.
1 code implementation • 24 Mar 2023 • HUI ZHANG, Xuexin An, Qiang He, YuDong Yao, Yudong Zhang, Feng-Lei Fan, Yueyang Teng
The former informs that nonlinear aggregation of quadratic neurons can amplify useful signals and suppress unwanted noise, thereby facilitating robustness, while the latter reveals that Q-GAT can leverage more features in prediction thanks to the dual attention mechanism, which endows Q-GAT with the ability to confront adversarial perturbation.
no code implementations • 24 Feb 2023 • Hengzhi Xue, Qingqing Fang, YuDong Yao, Yueyang Teng
Secondly, the nnUNet result of the certainty nodes is used as label to form a semi-supervised graph network problem, and the uncertainty part is optimized through training the GCN network to improve the segmentation performance.
1 code implementation • 8 Feb 2023 • Yuhui Ruan, Qiao Yuan, Chuang Niu, Chen Li, YuDong Yao, Ge Wang, Yueyang Teng
Deep learning has been successfully applied to low-dose CT (LDCT) image denoising for reducing potential radiation risk.
no code implementations • 1 Dec 2022 • Liyu Shi, Xiaoyan Li, Weiming Hu, HaoYuan Chen, Jing Chen, Zizhen Fan, Minghe Gao, Yujie Jing, Guotao Lu, Deguo Ma, Zhiyu Ma, Qingtao Meng, Dechao Tang, Hongzan Sun, Marcin Grzegorzek, Shouliang Qi, Yueyang Teng, Chen Li
Methods: This present study provided a new publicly available Enteroscope Biopsy Histopathological Hematoxylin and Eosin Image Dataset for Image Segmentation Tasks (EBHI-Seg).
1 code implementation • 3 Sep 2022 • Guangtong Yang, Chen Li, YuDong Yao, Ge Wang, Yueyang Teng
In this paper, we propose a quasi-supervised learning method, which is a new type of weakly-supervised learning methods, to recover HR PET images from LR counterparts by leveraging similarity between unpaired LR and HR image patches.
1 code implementation • 7 Jun 2022 • Tingting Shen, Junhang Li, Can Tong, Qiang He, Chen Li, YuDong Yao, Yueyang Teng
Nonnegative matrix factorization (NMF) has been widely used to dimensionality reduction in machine learning.
1 code implementation • 18 Apr 2022 • Junhang Li, Jiao Wei, Can Tong, Tingting Shen, Yuchen Liu, Chen Li, Shouliang Qi, YuDong Yao, Yueyang Teng
Traditional nonnegative matrix factorization (NMF) learns a new feature representation on the whole data space, which means treating all features equally.
no code implementations • 19 Feb 2022 • Haonan Sun, Qiang He, Shouliang Qi, YuDong Yao, Yueyang Teng
This paper is based on the latter technique, which learns the edge distribution of real brain network through GraphRNN, and generates the synthetic data which has incentive effect on the discriminant model.
1 code implementation • 27 Nov 2021 • Jiao Wei, Can Tong, Bingxue Wu, Qiang He, Shouliang Qi, YuDong Yao, Yueyang Teng
Nonnegative matrix factorization (NMF) has been widely used to learn low-dimensional representations of data.
1 code implementation • NeurIPS Workshop ImageNet_PPF 2021 • Yichao Liu, Zongru Shao, Yueyang Teng, Nico Hoffmann
Recognizing less salient features is the key for model compression.
no code implementations • 11 Oct 2021 • Hechen Yang, Chen Li, Xin Zhao, Bencheng Cai, Jiawei Zhang, Pingli Ma, Peng Zhao, Ao Chen, Hongzan Sun, Yueyang Teng, Shouliang Qi, Tao Jiang, Marcin Grzegorzek
The Environmental Microorganism Image Dataset Seventh Version (EMDS-7) is a microscopic image data set, including the original Environmental Microorganism images (EMs) and the corresponding object labeling files in ". XML" format file.
1 code implementation • 13 Oct 2019 • Yu Gong, Hongming Shan, Yueyang Teng, Ning Tu, Ming Li, Guodong Liang, Ge Wang, Shan-Shan Wang
The contributions of this paper are twofold: i) a PT-WGAN framework is designed to denoise low-dose PET images without compromising structural details, and ii) a task-specific initialization based on transfer learning is developed to train PT-WGAN using trainable parameters transferred from a pretrained model, which significantly improves the training efficiency of PT-WGAN.
1 code implementation • 17 Jan 2019 • Fenglei Fan, Hongming Shan, Mannudeep K. Kalra, Ramandeep Singh, Guhan Qian, Matthew Getzin, Yueyang Teng, Juergen Hahn, Ge Wang
Inspired by complexity and diversity of biological neurons, our group proposed quadratic neurons by replacing the inner product in current artificial neurons with a quadratic operation on input data, thereby enhancing the capability of an individual neuron.
no code implementations • 31 Dec 2018 • Fenglei Fan, Mengzhou Li, Yueyang Teng, Ge Wang
Recently, deep learning becomes the main focus of machine learning research and has greatly impacted many important fields.
no code implementations • 15 Feb 2018 • Fenglei Fan, Ziyu Su, Yueyang Teng, Ge Wang
For manifold learning, it is assumed that high-dimensional sample/data points are embedded on a low-dimensional manifold.