| Efficacy of a deep learning system for detecting glaucomatous optic neuropathy based on color fundus photographs Z Li, Y He, S Keel, W Meng, RT Chang, M He Ophthalmology 125 (8), 1199-1206, 2018 | 736 | 2018 |
| An automated grading system for detection of vision-threatening referable diabetic retinopathy on the basis of color fundus photographs Z Li, S Keel, C Liu, Y He, W Meng, J Scheetz, PY Lee, J Shaw, D Ting, ... Diabetes care 41 (12), 2509-2516, 2018 | 229 | 2018 |
| Retinal age gap as a predictive biomarker for mortality risk Z Zhu, D Shi, P Guankai, Z Tan, X Shang, W Hu, H Liao, X Zhang, ... British Journal of Ophthalmology 107 (4), 547-554, 2023 | 78 | 2023 |
| Development and validation of a deep‐learning algorithm for the detection of neovascular age‐related macular degeneration from colour fundus photographs S Keel, Z Li, J Scheetz, L Robman, J Phung, G Makeyeva, KZ Aung, C Liu, ... Clinical & Experimental Ophthalmology 47 (8), 1009-1018, 2019 | 75 | 2019 |
| Development and validation of a smartphone-based visual acuity test (vision at home) X Han, J Scheetz, S Keel, C Liao, C Liu, Y Jiang, A Müller, W Meng, M He Translational Vision Science & Technology 8 (4), 27-27, 2019 | 52 | 2019 |
| A deep learning system for fully automated retinal vessel measurement in high throughput image analysis D Shi, Z Lin, W Wang, Z Tan, X Shang, X Zhang, W Meng, Z Ge, M He Frontiers in Cardiovascular Medicine 9, 823436, 2022 | 33 | 2022 |
| A self-adaptive deep learning method for automated eye laterality detection based on color fundus photography C Liu, X Han, Z Li, J Ha, G Peng, W Meng, M He Plos one 14 (9), e0222025, 2019 | 20 | 2019 |
| Biological age estimated from retinal imaging: a novel biomarker of aging C Liu, W Wang, Z Li, Y Jiang, X Han, J Ha, W Meng, M He Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 16 | 2019 |
| A deep learning–based fully automated program for choroidal structure analysis within the region of interest in myopic children M Xuan, W Wang, D Shi, J Tong, Z Zhu, Y Jiang, Z Ge, J Zhang, G Bulloch, ... Translational Vision Science & Technology 12 (3), 22-22, 2023 | 9 | 2023 |
| Comparing common retinal vessel caliber measurement software with an automatic deep learning system S He, G Bulloch, L Zhang, W Meng, D Shi, M He Current Eye Research 48 (9), 843-849, 2023 | 3 | 2023 |
| Deep neural network-estimated age using optical coherence tomography predicts mortality R Chen, S Zhang, G Peng, W Meng, G Borchert, W Wang, Z Yu, H Liao, ... GeroScience 46 (2), 1703-1711, 2024 | 2 | 2024 |
| Cross-camera performance of deep learning algorithms to diagnose common ophthalmic diseases: a comparative study highlighting feasibility to portable fundus camera use S He, G Bulloch, L Zhang, Y Xie, W Wu, Y He, W Meng, D Shi, M He Current Eye Research 48 (9), 857-863, 2023 | 2 | 2023 |
| A deep learning algorithm for detecting common eye diseases based on fundus photography M He, Z Li, S Kee, Y He, W Meng CLINICAL AND EXPERIMENTAL OPHTHALMOLOGY 45, 68-68, 2017 | 1 | 2017 |
| A deep learning–based fully automated program for choroidal structure analysis within the region of interest in myopic children. Transl Vis Sci Technol. 2023; 12 (3): 22 M Xuan, W Wang, D Shi, J Tong, Z Zhu, Y Jiang, Z Ge, J Zhang, G Bulloch, ... | | 2023 |
| The development and validation of a deep learning algorithm for referable diabetic retinopathy S Keel, Z Li, Y He, W Meng, R Chang, M He Investigative Ophthalmology & Visual Science 59 (9), 738-738, 2018 | | 2018 |
