Cikkek nyilvánosan hozzáférhető megbízással - Daniel SW TingTovábbi információ
Sehol sem hozzáférhető: 18
Global prevalence of diabetic retinopathy and projection of burden through 2045: systematic review and meta-analysis
ZL Teo, YC Tham, M Yu, ML Chee, TH Rim, N Cheung, MM Bikbov, ...
Ophthalmology 128 (11), 1580-1591, 2021
Megbízások: National Medical Research Council, Singapore
Logistic regression was as good as machine learning for predicting major chronic diseases
S Nusinovici, YC Tham, MYC Yan, DSW Ting, J Li, C Sabanayagam, ...
Journal of clinical epidemiology 122, 56-69, 2020
Megbízások: National Medical Research Council, Singapore
Developing specific reporting guidelines for diagnostic accuracy studies assessing AI interventions: The STARD-AI Steering Group
V Sounderajah, H Ashrafian, R Aggarwal, J De Fauw, AK Denniston, ...
Nature medicine 26 (6), 807-808, 2020
Megbízások: UK Medical Research Council, National Institute for Health Research, UK
A deep-learning system for the assessment of cardiovascular disease risk via the measurement of retinal-vessel calibre
CY Cheung, D Xu, CY Cheng, C Sabanayagam, YC Tham, M Yu, TH Rim, ...
Nature biomedical engineering 5 (6), 498-508, 2021
Megbízások: National Medical Research Council, Singapore, National Research Foundation …
Artificial intelligence for diabetic retinopathy screening, prediction and management
DV Gunasekeran, DSW Ting, GSW Tan, TY Wong
Current opinion in ophthalmology 31 (5), 357-365, 2020
Megbízások: National Medical Research Council, Singapore
Availability and variability in guidelines on diabetic retinopathy screening in Asian countries
LZ Wang, CY Cheung, RJ Tapp, H Hamzah, G Tan, D Ting, E Lamoureux, ...
British Journal of Ophthalmology 101 (10), 1352-1360, 2017
Megbízások: National Medical Research Council, Singapore
The era of artificial intelligence and virtual reality: transforming surgical education in ophthalmology
SK Bakshi, SR Lin, DSW Ting, MF Chiang, J Chodosh
British Journal of Ophthalmology 105 (10), 1325-1328, 2021
Megbízások: US National Institutes of Health
Detailed characterization of choroidal morphologic and vascular features in age-related macular degeneration and polypoidal choroidal vasculopathy
P Gupta, DSW Ting, SG Thakku, TY Wong, CY Cheng, E Wong, R Mathur, ...
Retina 37 (12), 2269-2280, 2017
Megbízások: A*Star, Singapore, National Medical Research Council, Singapore
Real-world treatment outcomes of age-related macular degeneration and polypoidal choroidal vasculopathy in Asians
BJ Fenner, DSW Ting, ACS Tan, K Teo, CM Chan, R Mathur, IYS Yeo, ...
Ophthalmology Retina 4 (4), 403-414, 2020
Megbízások: National Medical Research Council, Singapore
Deep learning for automated sorting of retinal photographs
TH Rim, Z Da Soh, YC Tham, HHS Yang, G Lee, Y Kim, S Nusinovici, ...
Ophthalmology Retina 4 (8), 793-800, 2020
Megbízások: National Medical Research Council, Singapore
Partially-supervised learning for vessel segmentation in ocular images
Y Xu, X Xu, L Jin, S Gao, RSM Goh, DSW Ting, Y Liu
Medical Image Computing and Computer Assisted Intervention–MICCAI 2021: 24th …, 2021
Megbízások: A*Star, Singapore
Anterior segment optical coherence tomography angiography for iris vasculature in pigmented eyes
M Ang, K Devarajan, ACS Tan, M Ke, B Tan, K Teo, CCA Sng, DS Ting, ...
British Journal of Ophthalmology 105 (7), 929-934, 2021
Megbízások: National Medical Research Council, Singapore
Explainable artificial intelligence in ophthalmology
TF Tan, P Dai, X Zhang, L Jin, S Poh, D Hong, J Lim, G Lim, ZL Teo, N Liu, ...
Current opinion in ophthalmology 34 (5), 422-430, 2023
Megbízások: A*Star, Singapore, National Medical Research Council, Singapore
Deep learning system outperforms clinicians in identifying optic disc abnormalities
C Vasseneix, S Nusinovici, X Xu, JM Hwang, S Hamann, JJ Chen, JL Loo, ...
Journal of Neuro-Ophthalmology 43 (2), 159-167, 2023
Megbízások: National Institute of Health and Medical Research, France, National …
An ethics assessment tool for artificial intelligence implementation in healthcare: CARE-AI
Y Ning, X Liu, GS Collins, KGM Moons, M McCradden, DSW Ting, ...
Nature medicine, 1-2, 2024
Megbízások: UK Medical Research Council, National Institute for Health Research, UK, UK …
The BONSAI (Brain and Optic Nerve Study with Artificial Intelligence) deep learning system can accurately identify pediatric papilledema on standard ocular fundus photographs
MY Lin, RP Najjar, Z Tang, D Cioplean, M Dragomir, A Chia, A Patil, ...
Journal of American Association for Pediatric Ophthalmology and Strabismus …, 2024
Megbízások: US National Institutes of Health, National Medical Research Council, Singapore
More Accurate Streaming Cardinality Estimation With Vectorized Counters
V Bruschi, P Reviriego, S Pontarelli, D Ting, G Bianchi
IEEE Networking Letters 3 (2), 75-79, 2021
Megbízások: Government of Spain
Implementation, Characteristics, and Effectiveness of an Ophthalmic Hospital-Based Virtual Clinical Service in China During COVID-19
X Wu, J Chen, D Yun, M Yuan, Z Liu, P Yan, Y Zhu, C Chen, W Hu, Z Wu, ...
Megbízások: National Natural Science Foundation of China
Valahol hozzáférhető: 104
Development and validation of a deep learning system for diabetic retinopathy and related eye diseases using retinal images from multiethnic populations with diabetes
DSW Ting, CYL Cheung, G Lim, GSW Tan, ND Quang, A Gan, H Hamzah, ...
Jama 318 (22), 2211-2223, 2017
Megbízások: National Medical Research Council, Singapore, Ministry of Health, Singapore
Large language models in medicine
AJ Thirunavukarasu, DSJ Ting, K Elangovan, L Gutierrez, TF Tan, ...
Nature medicine 29 (8), 1930-1940, 2023
Megbízások: A*Star, Singapore, National Medical Research Council, Singapore
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