Publication and Patent 

Journal paper

• [1] Tsai, S. T.,Liu, C. H., Chan, C. C., Li, Y. H., Huang, S. L., & Chen, H. H. (2022). H&E-like staining of OCT images of human skin via generative adversarial network. Applied Physics Letters, 121(13), 134102. 
• [2] Liu, C. H., Fu, L. W., Chen, H. H., & Huang, S. L. (2023). Toward cell nuclei precision between OCT and H&E images translation using signal-to-noise ratio cycle-consistency. Computer Methods and Programs in Biomedicine, 107824. 
• [3] Liu, C. H., Fu, L. W., Chang, S. W., Wang, Y. J., Wang, J. Y., Wu, Y. H., Chen, H. H., & Huang, S. L. (2023). Optimization and limitation of U-Net-based segmentation for quantitatively evaluating in-vivo human skin layers and keratinocytes in cellularresolution FF-OCT imaging. Journal of Biomedical Informatics (under review). 
• [4] Fu, L. W., Liu, C. H., Jain, M., Chen, J. C. S., Wu, Y. H., Huang, S. L., & Chen, H. H. (2023) Training with uncertain annotations for semantic segmentation of basal cell carcinoma from FF-OCT images. IEEE Transactions on Medical Imaging (under review). 
• [5] Liu, C. H., Chen, Y. S., Chen, Y. C., & Huang, S. L. (2023). Cellular-resolution OCT image denoising with unpaired reference guided deep generative network. Biomedical Signal Processing and Control (submitted). 
• [6] Liu, C. H., Wang, Y. J., Wang, J. Y., Wu, Y. H., & Huang, S. L. (2023). 3D in-vivo human skin keratinocytes segmentation in FFOCT images from 2D pseudo label using self-training. Computerized Medical Imaging and Graphics (submitted). 
• [7] Liu, C. H., & Huang, S. L. (2023). Unpaired in-vivo OCT and ex-vivo H&E human skin image translation using auxiliary learning. Medical Image Analysis (submitted) 
• [8] Liu, C. H., Wang, Y. J., Wang, J. Y., Wu, Y. H., & Huang, S. L. (2023). Self-supervised in-vivo OCT human skin lesions classification with curriculum learning path. (manuscript). 
• [9] Liu, C. H., Wang, Y. J., Wang, J. Y., Wu, Y. H., & Huang, S. L. (2023). Few-shot in-vivo human skin lesions identification in cellular-resolution FF-OCT image with contrastive pre-training. (manuscript). 
• [10] Liu, C. H., & Huang, S. L. (2023). Monte Carlo OCT simulation assisting real world segmentation with few data. (manuscript).
  

Conference paper

• [1] Liu, C. H., & Chang, C. W. (2021) Infrared frequency domain thermoreflectance measurements of thermal conductivity. Annual Meeting of Taiwan Themoelectric Society. 
• [2] Liu, C. H., & Tseng, S. Y. (2019) Short and broadband mode-division multiplexers using shortcut to adiabaticity and supersymmetric optical structures. Optic and Photonic Taiwan International Conference.  

Patent

• [1] Deep Learning-Based Conversion of Optical Coherence Tomography Image to Pathological Slice Image for Biomedical Structure and Composition Mapping. (US Provisional Patent).

Projects Experience 

O-RAN Open Source Project Study 

Conducted a source code mapping analysis for O-RAN 5G specifications, covering components such as Near-RT RIC/Non-RT RIC, SMO, and xAPP/rAPP. Analyzed E2/A1/O1/O2/R1 interface transport APIs and investigated the relationship between the 3GPP framework and O-RAN's 7.2x split architecture. Explored the ETSI MANO framework in the context of SMO/O-Cloud schemes.

Personal Achievements 

Linux Programming Study Note Series 

Writing 25+ articles on Medium, providing the holistic introduction of system programming concept. Conduct hand-on developments for Linux system call and instruction using C programming language.