Search Results for author: Yueyang Teng

Found 18 papers, 11 papers with code

Self-supervised Noise2noise Method Utilizing Corrupted Images with a Modular Network for LDCT Denoising

1 code implementation13 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.

Image Denoising

Ultrasonic Image's Annotation Removal: A Self-supervised Noise2Noise Approach

1 code implementation9 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.

Denoising

Quadratic Graph Attention Network (Q-GAT) for Robust Construction of Gene Regulatory Networks

1 code implementation24 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.

Graph Attention

3D PETCT Tumor Lesion Segmentation via GCN Refinement

no code implementations24 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.

Lesion Segmentation Segmentation +1

Quasi-supervised Learning for Super-resolution PET

1 code implementation3 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.

Generative Adversarial Network Super-Resolution +1

Adaptive Weighted Nonnegative Matrix Factorization for Robust Feature Representation

1 code implementation7 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.

Dimensionality Reduction

Subspace Nonnegative Matrix Factorization for Feature Representation

1 code implementation18 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.

Improving the Level of Autism Discrimination through GraphRNN Link Prediction

no code implementations19 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.

feature selection Link Prediction

An Entropy Weighted Nonnegative Matrix Factorization Algorithm for Feature Representation

1 code implementation27 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.

Attribute

EMDS-7: Environmental Microorganism Image Dataset Seventh Version for Multiple Object Detection Evaluation

no code implementations11 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.

Object object-detection +1

Parameter-Transferred Wasserstein Generative Adversarial Network (PT-WGAN) for Low-Dose PET Image Denoising

1 code implementation13 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.

Generative Adversarial Network Image Denoising +1

Quadratic Autoencoder (Q-AE) for Low-dose CT Denoising

1 code implementation17 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.

Image Denoising

Soft Autoencoder and Its Wavelet Adaptation Interpretation

no code implementations31 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.

Deblurring Denoising

Shamap: Shape-based Manifold Learning

no code implementations15 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.

Dimensionality Reduction

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