Yueyang Teng

Orcid: 0000-0002-1487-8434

According to our database1, Yueyang Teng authored at least 46 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
NL-CS Net: Deep Learning with Non-local Prior for Image Compressive Sensing.
Circuits Syst. Signal Process., August, 2024

CST Framework: A Robust and Portable Finger Motion Tracking Framework.
IEEE Trans. Hum. Mach. Syst., June, 2024

A Novel Perceptual Constrained cycleGAN With Attention Mechanisms for Unsupervised MR-to-CT Synthesis.
Int. J. Imaging Syst. Technol., 2024

Quasi-supervised learning for super-resolution PET.
Comput. Medical Imaging Graph., 2024

2023
An Entropy Weighted Nonnegative Matrix Factorization Algorithm for Feature Representation.
IEEE Trans. Neural Networks Learn. Syst., September, 2023

A complex network-based vaccination strategy for infectious diseases.
Appl. Soft Comput., March, 2023

A majorization-minimization based solution to penalized nonnegative matrix factorization with orthogonal regularization.
J. Comput. Appl. Math., 2023

Self-supervised Noise2noise Method Utilizing Corrupted Images with a Modular Network for LDCT Denoising.
CoRR, 2023

Ultrasonic Image's Annotation Removal: A Self-supervised Noise2Noise Approach.
CoRR, 2023

Quadratic Graph Attention Network (Q-GAT) for Robust Construction of Gene Regulatory Networks.
CoRR, 2023

3D PETCT Tumor Lesion Segmentation via GCN Refinement.
CoRR, 2023

QS-ADN: Quasi-Supervised Artifact Disentanglement Network for Low-Dose CT Image Denoising by Local Similarity Among Unpaired Data.
CoRR, 2023

2022
A comprehensive survey on deep learning techniques in CT image quality improvement.
Medical Biol. Eng. Comput., 2022

EBHI-Seg: A Novel Enteroscope Biopsy Histopathological Haematoxylin and Eosin Image Dataset for Image Segmentation Tasks.
CoRR, 2022

Adaptive Weighted Nonnegative Matrix Factorization for Robust Feature Representation.
CoRR, 2022

Subspace Nonnegative Matrix Factorization for Feature Representation.
CoRR, 2022

Improving the Level of Autism Discrimination through GraphRNN Link Prediction.
CoRR, 2022

Improving the level of autism discrimination with augmented data by GraphRNN.
Comput. Biol. Medicine, 2022

2021
Entropy Regularized Iterative Weighted Shrinkage-Thresholding Algorithm (ERIWSTA): An Application to CT Image Restoration.
CoRR, 2021

NAM: Normalization-based Attention Module.
CoRR, 2021

EMDS-7: Environmental Microorganism Image Dataset Seventh Version for Multiple Object Detection Evaluation.
CoRR, 2021

Two graph-regularized fuzzy subspace clustering methods.
Appl. Soft Comput., 2021

2020
Quadratic Autoencoder (Q-AE) for Low-Dose CT Denoising.
IEEE Trans. Medical Imaging, 2020

Soft Autoencoder and Its Wavelet Adaptation Interpretation.
IEEE Trans. Computational Imaging, 2020

Predicting Unnecessary Nodule Biopsies from a Small, Unbalanced, and Pathologically Proven Dataset by Transfer Learning.
J. Digit. Imaging, 2020

A framework for least squares nonnegative matrix factorizations with Tikhonov regularization.
Neurocomputing, 2020

A Comprehensive Review for Breast Histopathology Image Analysis Using Classical and Deep Neural Networks.
IEEE Access, 2020

An Enhanced Framework of Generative Adversarial Networks (EF-GANs) for Environmental Microorganism Image Augmentation With Limited Rotation-Invariant Training Data.
IEEE Access, 2020

Deeply-Supervised Multi-Dose Prior Learning For Low-Dose Pet Imaging.
Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020

Low-Dose Pet Image Restoration With 2D And 3D Network Prior Learning.
Proceedings of the 2020 IEEE 17th International Symposium on Biomedical Imaging Workshops (ISBI Workshops), 2020

2019
Graph Regularized Sparse Autoencoders with Nonnegativity Constraints.
Neural Process. Lett., 2019

Low-Dose X-ray CT Image Reconstruction Based on a Shearlet Transform and Denoising Autoencoder.
J. Medical Imaging Health Informatics, 2019

A novel framework for the NMF methods with experiments to unmixing signals and feature representation.
J. Comput. Appl. Math., 2019

Parameter Constrained Transfer Learning for Low Dose PET Image Denoising.
CoRR, 2019

Ensemble Learning of Multiple-View 3D-CNNs Model for Micro-Nodules Identification in CT Images.
IEEE Access, 2019

A State-of-the-Art Survey for Microorganism Image Segmentation Methods and Future Potential.
IEEE Access, 2019

2018
Airflow in Tracheobronchial Tree of Subjects with Tracheal Bronchus Simulated Using CT Image Based Models and CFD Method.
J. Medical Syst., 2018

Multiple Frequency Bands Analysis of Large Scale Intrinsic Brain Networks and Its Application in Schizotypal Personality Disorder.
Frontiers Comput. Neurosci., 2018

Agile convolutional neural network for pulmonary nodule classification using CT images.
Int. J. Comput. Assist. Radiol. Surg., 2018

2017
Semi-supervised Nonnegative Matrix Factorization with Commonness Extraction.
Neural Process. Lett., 2017

Transient Dynamics Simulation of Airflow in a CT-Scanned Human Airway Tree: More or Fewer Terminal Bronchi?
Comput. Math. Methods Medicine, 2017

2016
ADMM-EM Method for L<sub>1</sub>-Norm Regularized Weighted Least Squares PET Reconstruction.
Comput. Math. Methods Medicine, 2016

Pancreatic malformations as seen in congenital syndromes - Developmental perspective with an alternative view.
Proceedings of the IEEE International Conference on Information and Automation, 2016

2012
Generalized EM-Type Reconstruction Algorithms for Emission Tomography.
IEEE Trans. Medical Imaging, 2012

Three penalized EM-type algorithms for PET image reconstruction.
Comput. Biol. Medicine, 2012

2011
Iterative reconstruction algorithms with α-divergence for PET imaging.
Comput. Medical Imaging Graph., 2011


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