Kun Gao

Orcid: 0000-0003-1729-2700

Affiliations:
  • Peking University, College of Engineering, Beijing, China
  • Academy of Military Sciences, Defense Innovation Institute, AMS, Beijing, China
  • Tianjin Artificial Intelligence Innovation Center, TAIIC, Intelligent Game and Decision Laborator, China
  • University of North Carolina at Chapel Hill, Department of Radiology and Biomedical Research Imaging Center, USA
  • University of Jinan, School of Information Science and Engineering, China


According to our database1, Kun Gao authored at least 11 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Progressively global-local fusion with explicit guidance for accurate and robust 3d hand pose reconstruction.
Knowl. Based Syst., 2024

Challenges and solutions for vision-based hand gesture interpretation: A review.
Comput. Vis. Image Underst., 2024

2023
Exploiting Sparse Self-Representation and Particle Swarm Optimization for CNN Compression.
IEEE Trans. Neural Networks Learn. Syst., December, 2023

2021
Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge.
IEEE Trans. Medical Imaging, 2021

Multi-scale Self-supervised Learning for Multi-site Pediatric Brain MR Image Segmentation with Motion/Gibbs Artifacts.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

2020
Automatic retinal layer segmentation in SD-OCT images with CSC guided by spatial characteristics.
Multim. Tools Appl., 2020

Multi-Site Infant Brain Segmentation Algorithms: The iSeg-2019 Challenge.
CoRR, 2020

Semi-supervised Transfer Learning for Infant Cerebellum Tissue Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Informative Feature-Guided Siamese Network for Early Diagnosis of Autism.
Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

2019
Double-branched and area-constraint fully convolutional networks for automated serous retinal detachment segmentation in SD-OCT images.
Comput. Methods Programs Biomed., 2019

2018
Multi-path 3D Convolution Neural Network for Automated Geographic Atrophy Segmentation in SD-OCT Images.
Proceedings of the Intelligent Computing Theories and Application, 2018


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