Yongfeng Yang

Orcid: 0000-0003-1642-6631

According to our database1, Yongfeng Yang authored at least 21 papers between 2015 and 2024.

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Bibliography

2024
MMCA-NET: A Multimodal Cross Attention Transformer Network for Nasopharyngeal Carcinoma Tumor Segmentation Based on a Total-Body PET/CT System.
IEEE J. Biomed. Health Informatics, September, 2024

Accurate Whole-Brain Image Enhancement for Low-Dose Integrated PET/MR Imaging Through Spatial Brain Transformation.
IEEE J. Biomed. Health Informatics, September, 2024

Non-Invasive Quantification of the Brain [¹⁸F]FDG-PET Using Inferred Blood Input Function Learned From Total-Body Data With Physical Constraint.
IEEE Trans. Medical Imaging, July, 2024

OIF-Net: An Optical Flow Registration-Based PET/MR Cross-Modal Interactive Fusion Network for Low-Count Brain PET Image Denoising.
IEEE Trans. Medical Imaging, April, 2024

Deep Generalized Learning Model for PET Image Reconstruction.
IEEE Trans. Medical Imaging, January, 2024

Schizophrenia classification and abnormalities reveal of brain region functional connection by deep-learning multiple sparsely connected network.
Biomed. Signal Process. Control., 2024

2023
Cost-effective identification of the field maturity of tobacco leaves based on deep semi-supervised active learning and smartphone photograph.
Comput. Electron. Agric., December, 2023

A Two-Branch Neural Network for Short-Axis PET Image Quality Enhancement.
IEEE J. Biomed. Health Informatics, June, 2023

Research on Distribution Network Load Balancing Based on Regional Precise Regulation.
Proceedings of the IEEE Sustainable Power and Energy Conference, 2023

2021
Learning a Deep CNN Denoising Approach Using Anatomical Prior Information Implemented With Attention Mechanism for Low-Dose CT Imaging on Clinical Patient Data From Multiple Anatomical Sites.
IEEE J. Biomed. Health Informatics, 2021

Considering anatomical prior information for low-dose CT image enhancement using attribute-augmented Wasserstein generative adversarial networks.
Neurocomputing, 2021

FaNet: fast assessment network for the novel coronavirus (COVID-19) pneumonia based on 3D CT imaging and clinical symptoms.
Appl. Intell., 2021

2020
CaGAN: A Cycle-Consistent Generative Adversarial Network With Attention for Low-Dose CT Imaging.
IEEE Trans. Computational Imaging, 2020

PET Image Reconstruction Using a Cascading Back-Projection Neural Network.
IEEE J. Sel. Top. Signal Process., 2020

Dynamics analysis of a hollow-shaft rotor system with an open crack under model uncertainties.
Commun. Nonlinear Sci. Numer. Simul., 2020

2019
Low-Dose Computed Tomography Image Super-Resolution Reconstruction via Random Forests.
Sensors, 2019

Steady-state response analysis of cracked rotors with uncertain‑but‑bounded parameters using a polynomial surrogate method.
Commun. Nonlinear Sci. Numer. Simul., 2019

2018
An English Translation Teaching Model Based on Interactive Reading Theory.
Int. J. Emerg. Technol. Learn., 2018

Abnormal Dynamic Functional Network Connectivity and Graph Theoretical Analysis in Major Depressive Disorder.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017
Sinogram Blurring Matrix Estimation From Point Sources Measurements With Rank-One Approximation for Fully 3-D PET.
IEEE Trans. Medical Imaging, 2017

2015
Nonlinear response prediction of cracked rotor based on EMD.
J. Frankl. Inst., 2015


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