Linhong Wang

Orcid: 0000-0002-6418-1520

According to our database1, Linhong Wang authored at least 13 papers between 2019 and 2023.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Subcategorization of suspicious non-mass-like enhancement lesions(BI-RADS-MRI Category4).
BMC Medical Imaging, December, 2023

Multi-level uncertainty aware learning for semi-supervised dental panoramic caries segmentation.
Neurocomputing, July, 2023

MyoPS: A benchmark of myocardial pathology segmentation combining three-sequence cardiac magnetic resonance images.
Medical Image Anal., 2023

2022
MIA-Net: Multi-information aggregation network combining transformers and convolutional feature learning for polyp segmentation.
Knowl. Based Syst., 2022

A simple measurement matrix for compressed sensing of synthetic aperture ultrasound imaging.
Int. J. Embed. Syst., 2022

Myocardial Pathology Segmentation of Multi-modal Cardiac MR Images with a Simple but Efficient Siamese U-shaped Network.
Biomed. Signal Process. Control., 2022

2021
MDFA-Net: Multiscale dual-path feature aggregation network for cardiac segmentation on multi-sequence cardiac MR.
Knowl. Based Syst., 2021

A high-resolution minimum variance algorithm based on optimal frequency-domain segmentation.
Biomed. Signal Process. Control., 2021

2020
Intelligent wearable rehabilitation robot control system based on mobile communication network.
Comput. Commun., 2020

Bus Scheduling of Overlapping Routes With Multi-Vehicle Types Based on Passenger OD Data.
IEEE Access, 2020

CMS-UNet: Cardiac Multi-task Segmentation in MRI with a U-Shaped Network.
Proceedings of the Myocardial Pathology Segmentation Combining Multi-Sequence Cardiac Magnetic Resonance Images, 2020

2019
A Secure Query Protocol for Multi-layer Wireless Sensor Networks Based on Internet of Things.
Rev. d'Intelligence Artif., 2019

Modeling and Recognition of Driving Fatigue State Based on R-R Intervals of ECG Data.
IEEE Access, 2019


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