Deep learning for detecting retinal detachment and discerning macular status using ultra-widefield fundus images

Zhongwen Li, Chong Guo, Danyao Nie, +17

Communications Biology

A deep learning system for identifying lattice degeneration and retinal breaks using ultra-widefield fundus images

Zhongwen Li, Chong Guo, Danyao Nie, +14

Annals of Translational Medicine

Deep learning for automated glaucomatous optic neuropathy detection from ultra-widefield fundus images

Zhongwen Li, Chong Guo, Duoru Lin, +15

British Journal of Ophthalmology

Automated detection of retinal exudates and drusen in ultra-widefield fundus images based on deep learning

Zhongwen Li, Chong Guo, Danyao Nie, +14

Eye

Convolutional Neural NetworkImage ClassificationImage AnalysisEngineeringOphthalmology +8

Development and Evaluation of a Deep Learning System for Screening Retinal Hemorrhage Based on Ultra-Widefield Fundus Images

Zhongwen Li, Chong Guo, Danyao Nie, +16

Translational Vision Science & Technology

Prediction of Visual Acuity after anti-VEGF Therapy in Diabetic Macular Edema by Machine Learning

Ying Zhang, Fabao Xu, Zhenzhe Lin, +5

Journal of Diabetes Research

DeepFundus: A flow-cytometry-like image quality classifier for boosting the whole life cycle of medical artificial intelligence

Lixue Liu, Xiaohang Wu, Duoru Lin, +62

Cell Reports Medicine

EngineeringMachine LearningDigital PathologyDiagnosisBiomedical Engineering +19

A pilot prospective study of 577-nm yellow subthreshold micropulse laser treatment with two different power settings for acute central serous chorioretinopathy

Lijun Zhou, Victor Chong, Kunbei Lai, +7

Lasers in Medical Science

EngineeringOphthalmologyLaser ApplicationsSurgeryPilot Prospective Study +4

Predicting Post-Therapeutic Visual Acuity and OCT Images in Patients With Central Serous Chorioretinopathy by Artificial Intelligence

Fabao Xu, Cheng Wan, Lanqin Zhao, +20

Frontiers in Bioengineering and Biotechnology

Artificial IntelligenceEngineeringSurgeryCentral Serous ChorioretinopathyVisual Acuity +16

Deep learning from “passive feeding” to “selective eating” of real-world data

Zhongwen Li, Chong Guo, Danyao Nie, +12

npj Digital Medicine