Fabian Yii

Thesis title: Harnessing artificial intelligence for pathologic myopia risk prediction

Qualifications

BSc (Hons) Optometry, Glasgow Caledonian University

Postgraduate teaching

Machine Learning Practical (INFR11132), School of Informatics: Demonstrator/Tutor/Marker

Text Remix (EFIE11004), Edinburgh Futures Institute: Postgraduate Teaching Assistant

Narrative and Computational Text Analysis (EFIE11088), Edinburgh Futures Institute: Postgraduate Teaching Assistant

Research summary

Primary research interests are myopia and computer vision.

Affiliated research centres

Conference details

International Visual Field & Imaging Symposium 2022, Berkeley, California: "Power to the People: Estimating the Detectability of Change in Individual Patients’ Visual Field Series" (online oral presentation)

MICCAI Workshop on Ophthalmic Medical Image Analysis 2022, Singapore: "Rethinking Retinal Image Quality: Treating Quality Threshold as a Tunable Hyperparameter" (poster presentation)

  1. Yii F (2023) ‘Emmetropic eye growth in East Asians and non-East Asians’ Ophthalmic and Physiological Optics 0, (0) 1-7. https://doi.org/10.1111/opo.13195

  2. Yii F (2023) ‘Letter to the editor: 20-20-20 rule: are these numbers justified?’ Optometry and Vision Science 100, (5) 346-347. https://doi.org/10.1097/OPX.0000000000002016

  3. Hu W, Yii F, Chen R, Zhang X, Shang X, Kiburg K, Woods E, Vingrys A, Zhang L, He M (2023) ‘A systematic review and meta-analysis of applying deep learning in the prediction of the risk of cardiovascular diseases from retinal images’ Translational Vision Science & Technology 12, (7) 14. https://doi.org/10.1167/tvst.12.7.14

  4. Yii F, Dutt R, MacGillivray T, Dhillon B, Bernabeu M, Strang, N (2022) ‘Rethinking retinal image quality: treating quality threshold as a tunable hyperparameter’ In: Antony, B., Fu, H., Lee, C.S., MacGillivray, T., Xu, Y., Zheng, Y. (eds) Ophthalmic Medical Image Analysis. OMIA 2022. Lecture Notes in Computer Science 13576. https://doi.org/10.1007/978-3-031-16525-2_8

  5. Yii F, MacGillivray T, Bernabeu M (2023) 'Data efficiency of Segment Anything Model for optic disc and cup segmentation' (in press)