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Xinxing Xu

Showing results (91-100 of 101) with videos related to

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Nature Communications|October 24, 2023
Uncertainty-inspired open set learning for retinal anomaly identificationMeng Wang, Tian Lin, Lianyu Wang, et al.
Ophthalmology Science|August 12, 2025
Multi-Comparison of Different Ocular Imaging Modality-based Deep Learning Models for Visually Significant Cataract DetectionJocelyn Hui Lin Goh, Xiaofeng Lei, Miao-Li Chee, et al.
Medical Image Analysis|October 8, 2023
GAMMA challenge: Glaucoma grAding from Multi-Modality imAgesJunde Wu, Huihui Fang, Fei Li, et al.
The Lancet. Digital Health|March 18, 2021
Referral for disease-related visual impairment using retinal photograph-based deep learning: a proof-of-concept, model development studyYih-Chung Tham, Ayesha Anees, Liang Zhang, et al.
Nature Aging|April 28, 2023
Author Correction: Detecting visually significant cataract using retinal photograph-based deep learningYih-Chung Tham, Jocelyn Hui Lin Goh, Ayesha Anees, et al.
Ophthalmology|January 6, 2022
DeepLensNet: Deep Learning Automated Diagnosis and Quantitative Classification of Cataract Type and SeverityTiarnan D L Keenan, Qingyu Chen, Elvira Agrón, et al.
Nature Aging|April 28, 2023
Detecting visually significant cataract using retinal photograph-based deep learningYih-Chung Tham, Jocelyn Hui Lin Goh, Ayesha Anees, et al.
Cell Reports. Medicine|December 5, 2025
An integrated language-vision foundation model for conversational diagnostics and triaging in primary eye careZhi Da Soh, Yang Bai, Kai Yu, et al.
The New England Journal of Medicine|April 15, 2020
Artificial Intelligence to Detect Papilledema from Ocular Fundus PhotographsDan Milea, Raymond P Najjar, Jiang Zhubo, et al.
The Lancet. Digital Health|April 23, 2021
Retinal photograph-based deep learning algorithms for myopia and a blockchain platform to facilitate artificial intelligence medical research: a retrospective multicohort studyTien-En Tan, Ayesha Anees, Cheng Chen, et al.
Pageof 11

Showing results (91-100 of 101) with videos related to

Sort By:
Pageof 11
Nature Communications|October 24, 2023
Uncertainty-inspired open set learning for retinal anomaly identificationMeng Wang, Tian Lin, Lianyu Wang, et al.
Ophthalmology Science|August 12, 2025
Multi-Comparison of Different Ocular Imaging Modality-based Deep Learning Models for Visually Significant Cataract DetectionJocelyn Hui Lin Goh, Xiaofeng Lei, Miao-Li Chee, et al.
Medical Image Analysis|October 8, 2023
GAMMA challenge: Glaucoma grAding from Multi-Modality imAgesJunde Wu, Huihui Fang, Fei Li, et al.
The Lancet. Digital Health|March 18, 2021
Referral for disease-related visual impairment using retinal photograph-based deep learning: a proof-of-concept, model development studyYih-Chung Tham, Ayesha Anees, Liang Zhang, et al.
Nature Aging|April 28, 2023
Author Correction: Detecting visually significant cataract using retinal photograph-based deep learningYih-Chung Tham, Jocelyn Hui Lin Goh, Ayesha Anees, et al.
Ophthalmology|January 6, 2022
DeepLensNet: Deep Learning Automated Diagnosis and Quantitative Classification of Cataract Type and SeverityTiarnan D L Keenan, Qingyu Chen, Elvira Agrón, et al.
Nature Aging|April 28, 2023
Detecting visually significant cataract using retinal photograph-based deep learningYih-Chung Tham, Jocelyn Hui Lin Goh, Ayesha Anees, et al.
Cell Reports. Medicine|December 5, 2025
An integrated language-vision foundation model for conversational diagnostics and triaging in primary eye careZhi Da Soh, Yang Bai, Kai Yu, et al.
The New England Journal of Medicine|April 15, 2020
Artificial Intelligence to Detect Papilledema from Ocular Fundus PhotographsDan Milea, Raymond P Najjar, Jiang Zhubo, et al.
The Lancet. Digital Health|April 23, 2021
Retinal photograph-based deep learning algorithms for myopia and a blockchain platform to facilitate artificial intelligence medical research: a retrospective multicohort studyTien-En Tan, Ayesha Anees, Cheng Chen, et al.
Pageof 11