黃升龍特聘教授的個人資料 - Profile of Sheng-Lung Huang

黃升龍 Sheng-Lung Huang

國立臺灣大學電機工程學系 特聘教授
Distinguished Professor, Department of Electrical Engineering, National Taiwan University

主要研究領域:

晶體光纖之生長及雷射應用, 生物醫學影像, 生成式人工智慧賦能之生物醫學影像

Major Research Areas:

Growth and laser applications of crystalline fibers, Biomedical imaging, Generative AI on biomedical images

研究領域摘要:

黃教授的研究方向有以下三大主軸︰

  1. 寬頻晶體光纖光源: 包含在下世代光通訊所須之超寬頻(1.2~1.6 μm 波段)光放大器、在生醫光電所須之 (0.6~1.4 μm 波段)可調波長雷射及高亮度寬頻光源，
  2. 活體細胞級解析度生醫斷層影像: 以高速次微米三維斷層掃描儀做細胞/組織之各式定量分析，以非侵入之方式，觀察組織結構及血球細胞之活體動態影像，對各式疾病/癌症達成更精準之早期診斷，
  3. 生成式人工智慧: 可信賴的虛擬三維組織病理學。

Research Summary:

Professor Huang’s research directions are:

  1. Crystalline fiber based broadband light sources: including the next generation optical amplifier in the 1.2-1.6-μm band and the tunable laser and high-brightness emission in the 0.6-1.4-μm wavelength range,
  2. In-vivo biomedical optical imaging: Using our proprietary crystalline fiber based optical coherence tomography system, submicron resolution has been achieved for real-time cell/tissue analyses. Dynamic bio-imaging is now utilized on organ anatomy and blood flow for early detection/diagnosis of diseases and cancers,
  3. Generative AI: trustworthy 3D virtual histopathology
Photo of Sheng-Lung Huang

代表性著作 Selected Publication

  1. C. H. Liu, Y. W. Lee, Y. S. Chen, Y. C. Chen, and S. L. Huang, “Deep generative network for cellular-resolution optical coherence tomography image denoising,” IEEE Journal of Selected Topics in Quantum Electronics, 32, No. 4, 6800311, Jul. 2026
  2. C. H. Liu, L. W. Fu, S. W. Chang, J. Y. Wang, Y. J. Wang, Y. H. Wu, H. H. Chen, and S. L. Huang, “Quantitative assessment of in vivo nuclei and layers of human skin by deep learning-based OCT image segmentation,” Biomedical Optics Express, 16, No. 4, 1528, Apr. 2025
  3. Y. H. Hsiao, K. C. Chen, C. L. Chien, W. T. Huang, N. Majewska, M. Kamiński, S. Mahlik, G. Leniec, E. Mijowska, S. L. Huang, and R. S. Liu, “Broadband near-infrared Cr4+-doped garnet phosphors through divalent calcium charge compensation for advanced crystal fiber amplifiers,” Advanced Optical Materials, 12, 2401543, 1, Dec. 2024
  4. L. W. Fu, C. H. Liu, M. Jain, C. J. Chen, Y. H. Wu, S. L. Huang, and H. H. Chen, “Training with uncertain annotations for semantic segmentation of basal cell carcinoma from full-field OCT images,” IEEE Transactions on Medical Imaging, 43(3), 1060, Mar. 2024
  5. C. H. Liu, L. W. Fu, H. H. Chen, and S. L. Huang, “Toward cell nuclei precision between OCT and H&E images translation using signal-to-noise ratio cycle-consistency,” Computer Methods and Programs in Biomedicine, 242, 107824, Oct. 2023
  6. S. T. Tsai, C. H. Liu C. C. Chan, Y. H. Li, S. L. Huang, and H. H. Chen, “H&E-like staining of OCT images of human skin via generative adversarial network,” Applied Physics Letters, 121, 134102, Sept. 2022
  7. T. S. Ho, M. R. Tsai, C. W. Lu, H. S. Chang, and S. L. Huang, “Mirau-type full-field optical coherence tomography with switchable partially spatially coherent illumination modes,” Biomedical Optics Express, 12, No. 5, 2670-2683, Apr. 2021
  8. T. S. Ho, P. Yeh, C. C. Tsai, K. Y. Hsu, and S. L. Huang, “Spectroscopic measurement of absorptive thin films by spectral-domain optical coherence tomography,” Optics Express, 22, No. 5, pp. 5675–5683, 2014