Ji Li

Orcid: 0000-0001-5990-8396

Affiliations:
  • Changsha University of Science and Technology, School of Computer and Communication Engineering, China


According to our database1, Ji Li authored at least 14 papers between 2019 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2022
Detecting COVID-19 patients via MLES-Net deep learning models from X-Ray images.
BMC Medical Imaging, 2022

2021
Detecting COVID-19 Patients in X-Ray Images Based on MAI-Nets.
Int. J. Comput. Intell. Syst., 2021

Using CFW-Net Deep Learning Models for X-Ray Images to Detect COVID-19 Patients.
Int. J. Comput. Intell. Syst., 2021

Detecting COVID-19 in Chest X-Ray Images via MCFF-Net.
Comput. Intell. Neurosci., 2021

A Multipulse Radar Signal Recognition Approach via HRF-Net Deep Learning Models.
Comput. Intell. Neurosci., 2021

COVID-19 Patients Detection in Chest X-ray Images via MCFF-Net.
Proceedings of the 13th International Conference on Advanced Computational Intelligence, 2021

2020
Woodland Labeling in Chenzhou, China, via Deep Learning Approach.
Int. J. Comput. Intell. Syst., 2020

High-Resolution Radar Target Recognition via Inception-Based VGG (IVGG) Networks.
Comput. Intell. Neurosci., 2020

A SAR Image Target Recognition Approach via Novel SSF-Net Models.
Comput. Intell. Neurosci., 2020

Image Target Recognition via Mixed Feature-Based Joint Sparse Representation.
Comput. Intell. Neurosci., 2020

A Radar Signal Recognition Approach via IIF-Net Deep Learning Models.
Comput. Intell. Neurosci., 2020

An improved deep learning approach and its applications on colonic polyp images detection.
BMC Medical Imaging, 2020

2019
An Advanced Deep Residual Dense Network (DRDN) Approach for Image Super-Resolution.
Int. J. Comput. Intell. Syst., 2019

Image Object Recognition via Deep Feature-Based Adaptive Joint Sparse Representation.
Comput. Intell. Neurosci., 2019


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