Personal profile
Author IDs
ORCID iD: 0000-0001-9718-7737
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Dive into the research topics where Kai LIU is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations from the last five years
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Research output
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Development of a Cost-Efficient and Glaucoma-Specialized OD/OC Segmentation Model for Varying Clinical Scenarios
Liu, K. & Zhang, J., Nov 2024, In: Sensors. 24, 22, 7255.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open AccessFile60 Downloads (CityUHK Scholars) -
Glaucoma detection model by exploiting multi-region and multi-scan-pattern OCT images with dynamical region score
Liu, K. & Zhang, J., 1 Mar 2024, In: Biomedical Optics Express. 15, 3, p. 1370-1392 22 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open AccessFile4 Link opens in a new tab Citations (Scopus)28 Downloads (CityUHK Scholars) -
Pretext Tasks in Test Time Adaptation Under Distribution Shifts-A Survey and Future Directions
Liu, K., Zhang, J. & Wang, S., Nov 2024, Proceedings of 2024 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML). IEEE, p. 429-438 (International Conference on Image Processing, Computer Vision and Machine Learning, ICICML).Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
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Cost-efficient and glaucoma-specifical model by exploiting normal OCT images with knowledge transfer learning
LIU, K. & ZHANG, J., 1 Dec 2023, In: Biomedical Optics Express. 14, 12, p. 6151-6171 20 p.Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Open AccessFile1 Link opens in a new tab Citation (Scopus)28 Downloads (CityUHK Scholars)
Thesis
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Development of Deep Learning-Based Models for Glaucoma Detection and Glaucoma-Specific Image Segmentation
LIU, K. (Author), ZHANG, J. (External Supervisor), WANG, S. (Supervisor) & LI, S. (Supervisor), 27 Dec 2024Student thesis: Doctoral Thesis