DR EMMA ANRAN RAN, PHD

Year of graduation: 2020

Supervisors: Prof Clement CY THAM
&
 Dr Carol YL CHEUNG

Not all who wander are aimless. Especially not those who seek truth beyond tradition, beyond definition, beyond the image.

Find out more on   https://www.researchgate.net/profile/Anran_Ran

https://www.linkedin.com/in/anran-ran-62b637122/

Research Direction

  • Artificial intelligence in glaucoma and ocular imaging.

Current Affiliations and Positions

  • Postdoctoral Fellow, Department of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong

Representative Publications

  1. Ran AR, Tham CC, Chan PP, Cheng CY, Tham YC, Rim TH, Cheung CY. Deep learning in glaucoma with optic coherence tomography: a review. Eye (Lond). 2020 Oct:1-14.
  2. Ran AR, Cheung CY, Wang X, Chen H, Luo LY, Chan PP, Chang RT, Mannil SS, Young AL, Pang CP, Heng PA, Tham CC. Detection of glaucomatous optic neuropathy with spectral-domain optical coherence tomography: a retrospective training and validation deep-learning analysis. The Lancet Digital Health. 2019;1(4):e172-e82.
  3. Ran AR, Shi J, Ngai AK, Chan WY, Chan PP, Young AL, Yung HW, Tham CC, Cheung CY. Artificial intelligence deep learning algorithm for discriminating ungradable optical coherence tomography three-dimensional volumetric optic disc scans. 2019 Oct;6(4):041110.
  4. Carol Y. Cheung, Ran AR. Artificial intelligence deep learning in glaucoma imaging: current progress and future prospect[J]. Journal of Shandong University (Health Sciences), 2020, 58(11):24-32.
  5. Wang X, Chen H, Ran AR, Luo LY, Chan PP, Tham CC, Chang RT, Mannil SS, Cheung CY, Heng PA. Towards multi-center glaucoma OCT image screening with semi-supervised joint structure and function multi-task learning. Medical image Analysis. 2020 May;19(63):101695. (DOI:10.1016/j.media.2020.101695)
  6. Wang X, Tang FY, Chen H, Luo LY, Tang ZQ, Ran AR, Cheung CY, Heng PA. UD-MIL: Uncertainty-driven Deep Multiple Instance Learning for OCT Image Classification. IEEE Journal of Biomedical and Health Informatics. (doi: 10.1109/JBHI.2020.2983730.)
  7. Russakoff DB, Mannil SS, Oakley JD, Ran AR, Cheung CY, Dasari S, Riyazzuddin M, Nagaraj S, Rao HL, Chang D, Chang RT. A 3D deep learning system for detecting referable glaucoma using full OCT macular cube scans. Trans Vis Sci Tech. 2020;9(2):12.
  8. Noury Erfan, Mannil SS, Chang RT, Ran AR, Cheung CY, Thapa SS, Rao HL, Dasari S, Riyazuddin M, Nagaraj S, Zadeh R. Detecting Glaucoma Using 3D Convolutional Neural Network of Raw SD-OCT Optic Nerve Scans. arXiv:1910.0630.
  9. Wang X, Chen H, Luo LY, Ran AR, Chan PP, Tham CC, Cheung CY, Heng PA. Unifying Structure Analysis and Surrogate-driven Function Regression for Glaucoma OCT Image Screening. arXiv:1907.12927
  10. Lin GM, Chen MJ, Yeh CH, Lin YY, Kuo HY, Lin MH, Chen MC, Lin SD, Gao Y, Ran AR, Cheung CY. Transforming Retinal Photographs to Entropy Images in Deep Learning to Improve Automated Detection for Diabetic Retinopathy. J Ophthalmol. 2018 Sep 10;2018:2159702.