Edmund Y. Lam  —  Publications

All keywords:

| 3D imaging | biomedical imaging | compressed sensing | computational imaging | computational lithography | deep learning | digital holography | education technology | electronic imaging | environment | high dynamic range imaging | light field | machine learning | machine vision and automation | magnetic resonance imaging | microscopy | optical coherence tomography | speckle | super-resolution | ulfrafast imaging |

Current keyword: environment

Academic Journals:

  1. Yanmin Zhu, Chok Hang Yeung, and Edmund Y. Lam, “Digital holographic imaging and classification of microplastics using deep transfer learning,” Applied Optics, vol. 60, no. 4, pp. A38–A47, February 2021.
    DOI: 10.1364/AO.403366

  2. Kevin C. Tse, Hon-Chim Chiu, Man-Yin Tsang, Yiliang Li, and Edmund Y. Lam, “An unsupervised learning approach to study synchroneity of past events in the South China Sea,” Frontiers of Earth Science, vol. 13, no. 3, pp. 628–640, September 2019.
    DOI: 10.1007/s11707-019-0748-x

  3. Kevin C. Tse, Hon-Chim Chiu, Man-Yin Tsang, Yiliang Li, and Edmund Y. Lam, “Unsupervised learning on scientific ocean drilling datasets from the South China Sea,” Frontiers of Earth Science, vol. 13, no. 1, pp. 180–190, March 2019.
    DOI: 10.1007/s11707-018-0704-1

Conference Proceedings:

  1. Edmund Y. Lam, “Identification and quantification of microplastics using digital holography and deep learning,” in International Workshop on Precision Optics and Artificial Intelligence, October 2020.
    Invited Paper at the conference

  2. Yanmin Zhu, Chok Hang Yeung, and Edmund Y. Lam, “Digital holography with deep learning and generative adversarial networks for automatic microplastics classification,” in Holography, Diffractive Optics and Applications, volume 11551 of Proceedings of the SPIE, pp. 115510A, October 2020.
    DOI: 10.1117/12.2575115

  3. Yanmin Zhu, Chok Hang Yeung, and Edmund Y. Lam, “Holographic classifier: Deep learning in digital holography for automatic micro-objects classification,” in IEEE International Conference on Industrial Informatics, pp. xxx–xxx, July 2020.
    DOI: 10.1109/xxxxxxx

  4. Yanmin Zhu, Chok Hang Yeung, and Edmund Y. Lam, “Automatic detection of microplastics by deep learning enabled digital holography,” in OSA Topical Meeting in Digital Holography and Three-Dimensional Imaging, pp. HTu5B.1, June 2020.
    DOI: 10.1364/DH.2020.HTu5B.1
    Invited Paper at the conference

  5. C.H. Tse, Yi-liang Li, and Edmund Y. Lam, “Geological applications of machine learning on hyperspectral remote sensing data,” in Image Processing: Machine Vision Applications, volume 9405 of Proceedings of the SPIE, pp. 940512, February 2015.
    DOI: 10.1117/12.2178400