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Michelle Y T Yip

Showing results (1-10 of 6) with videos related to

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Taiwan Journal of Ophthalmology|July 24, 2023
Artificial intelligence and digital solutions for myopiaYong Li, Michelle Y T Yip, Daniel S W Ting, et al.
Eye and Vision (London, England)|April 22, 2020
Different fundus imaging modalities and technical factors in AI screening for diabetic retinopathy: a reviewGilbert Lim, Valentina Bellemo, Yuchen Xie, et al.
Ophthalmology. Retina|January 27, 2024
Artificial Intelligence, Digital Imaging, and Robotics Technologies for Surgical Vitreoretinal DiseasesStanley S J Poh, Josh T Sia, Michelle Y T Yip, et al.
The Lancet. Digital Health|December 17, 2020
Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling studyYuchen Xie, Quang D Nguyen, Haslina Hamzah, et al.
The Lancet. Digital Health|December 16, 2020
Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation studyValentina Bellemo, Zhan W Lim, Gilbert Lim, et al.
NPJ Digital Medicine|March 29, 2020
Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathyMichelle Y T Yip, Gilbert Lim, Zhan Wei Lim, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Taiwan Journal of Ophthalmology|July 24, 2023
Artificial intelligence and digital solutions for myopiaYong Li, Michelle Y T Yip, Daniel S W Ting, et al.
Eye and Vision (London, England)|April 22, 2020
Different fundus imaging modalities and technical factors in AI screening for diabetic retinopathy: a reviewGilbert Lim, Valentina Bellemo, Yuchen Xie, et al.
Ophthalmology. Retina|January 27, 2024
Artificial Intelligence, Digital Imaging, and Robotics Technologies for Surgical Vitreoretinal DiseasesStanley S J Poh, Josh T Sia, Michelle Y T Yip, et al.
The Lancet. Digital Health|December 17, 2020
Artificial intelligence for teleophthalmology-based diabetic retinopathy screening in a national programme: an economic analysis modelling studyYuchen Xie, Quang D Nguyen, Haslina Hamzah, et al.
The Lancet. Digital Health|December 16, 2020
Artificial intelligence using deep learning to screen for referable and vision-threatening diabetic retinopathy in Africa: a clinical validation studyValentina Bellemo, Zhan W Lim, Gilbert Lim, et al.
NPJ Digital Medicine|March 29, 2020
Technical and imaging factors influencing performance of deep learning systems for diabetic retinopathyMichelle Y T Yip, Gilbert Lim, Zhan Wei Lim, et al.
Pageof 1