Kai Gao
Orcid: 0000-0003-4144-0291Affiliations:
- National University of Defense Technology, College of Intelligence Science and Technology, Changsha, China (PhD 2021)
According to our database1,
Kai Gao authored at least 14 papers
between 2018 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2026
Transfer learning from 2D natural images to 4D fMRI brain images via geometric mapping.
Medical Image Anal., 2026
2025
A Forward and Backward Compatible Framework for Few-Shot Class-Incremental Pill Recognition.
IEEE Trans. Neural Networks Learn. Syst., June, 2025
Relevance-Aware Domain Adaptation with Unified Multimodal Representation for Neuroimaging Classification.
Proceedings of the 2025 6th International Symposium on Artificial Intelligence for Medical Sciences, 2025
2024
Tiny drone object detection in videos guided by the bio-inspired magnocellular computation model.
Appl. Soft Comput., 2024
2023
SS-TBN: A Semi-Supervised Tri-Branch Network for COVID-19 Screening and Lesion Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., August, 2023
Neural Video: A Novel Framework for Interpreting the Spatiotemporal Activities of the Human Brain.
Proceedings of the Image and Graphics - 12th International Conference, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2021
Dual-branch combination network (DCN): Towards accurate diagnosis and lesion segmentation of COVID-19 using CT images.
Medical Image Anal., 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
A Deep Transfer Learning Framework for 3D Brain Imaging Based on Optimal Mass Transport.
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020
2019
Proceedings of the International Joint Conference on Neural Networks, 2019
2018
Dissociating Group and Individual Profile of Functional Connectivity Using Low Rank Matrix Recovery.
Proceedings of the Intelligence Science and Big Data Engineering, 2018
Proceedings of the Intelligence Science and Big Data Engineering, 2018