Hongwei Du

Orcid: 0000-0002-5312-4037

Affiliations:
  • University of Science and Technology of China, Biomedical Engineering Center, Anhui, Hefei, China (PhD 2007)


According to our database1, Hongwei Du authored at least 13 papers between 2017 and 2023.

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

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
An Efficient Lightweight Generative Adversarial Network for Compressed Sensing Magnetic Resonance Imaging Reconstruction.
IEEE Access, 2023

2022
Boosting medical image segmentation via conditional-synergistic convolution and lesion decoupling.
Comput. Medical Imaging Graph., 2022

2021
EF-Net: A novel enhancement and fusion network for RGB-D saliency detection.
Pattern Recognit., 2021

Fasu-Net: Fast Alzheimer's Disease Screening with Undersampled MRI Using Convolutional Neural Networks.
J. Medical Imaging Health Informatics, 2021

Lightweight pyramid network with spatial attention mechanism for accurate retinal vessel segmentation.
Int. J. Comput. Assist. Radiol. Surg., 2021

2020
A bone age assessment system for real-world X-ray images based on convolutional neural networks.
Comput. Electr. Eng., 2020

2019
Compressed Sensing MRI via Extended Anisotropic and Isotropic Total Variation.
J. Medical Imaging Health Informatics, 2019

2018
Relative location prediction in CT scan images using convolutional neural networks.
Comput. Methods Programs Biomed., 2018

Channel-based Rate Selection for Commodity RFID Networks.
Proceedings of the 28th International Telecommunication Networks and Applications Conference, 2018

2017
Fast sparsity adaptive multipath matching pursuit for compressed sensing problems.
J. Electronic Imaging, 2017

Four-directional fractional-order total variation regularization for image denoising.
J. Electronic Imaging, 2017

Fast Compressed Sensing MRI Based on Complex Double-Density Dual-Tree Discrete Wavelet Transform.
Int. J. Biomed. Imaging, 2017

A deep learning-based method for relative location prediction in CT scan images.
CoRR, 2017


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