Jin Seong Hong

Orcid: 0000-0002-0249-8004

According to our database1, Jin Seong Hong authored at least 13 papers between 2020 and 2024.

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

Timeline

2020
2021
2022
2023
2024
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Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Multi-path residual attention network for cancer diagnosis robust to a small number of training data of microscopic hyperspectral pathological images.
Eng. Appl. Artif. Intell., 2024

Dilated multilevel fused network for virus classification using transmission electron microscopy images.
Eng. Appl. Artif. Intell., 2024

A novel convolution transformer-based network for histopathology-image classification using adaptive convolution and dynamic attention.
Eng. Appl. Artif. Intell., 2024

Deep learning-based restoration of multi-degraded finger-vein image by non-uniform illumination and noise.
Eng. Appl. Artif. Intell., 2024

Multiscale triplet spatial information fusion-based deep learning method to detect retinal pigment signs with fundus images.
Eng. Appl. Artif. Intell., 2024

Multi-scale and multi-receptive field-based feature fusion for robust segmentation of plant disease and fruit using agricultural images.
Appl. Soft Comput., 2024

Deep learning-based restoration of nonlinear motion blurred images for plant classification using multi-spectral images.
Appl. Soft Comput., 2024

2023
CFFR-Net: A channel-wise features fusion and recalibration network for surgical instruments segmentation.
Eng. Appl. Artif. Intell., November, 2023

Multi-scale feature retention and aggregation for colorectal cancer diagnosis using gastrointestinal images.
Eng. Appl. Artif. Intell., 2023

2022
Spoof detection based on score fusion using ensemble networks robust against adversarial attacks of fake finger-vein images.
J. King Saud Univ. Comput. Inf. Sci., November, 2022

2021
Finger-Vein Recognition Using Heterogeneous Databases by Domain Adaption Based on a Cycle-Consistent Adversarial Network.
Sensors, 2021

Restoration of Motion Blurred Image by Modified DeblurGAN for Enhancing the Accuracies of Finger-Vein Recognition.
Sensors, 2021

2020
Finger-Vein Recognition Based on Densely Connected Convolutional Network Using Score-Level Fusion With Shape and Texture Images.
IEEE Access, 2020


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