Cían Hughes
Google (United States)(US)University of California, San Francisco(US)
Publications by Year
Research Areas
Advanced Radiotherapy Techniques, Retinal Imaging and Analysis, Retinal Diseases and Treatments, Sepsis Diagnosis and Treatment, Head and Neck Cancer Studies
Most-Cited Works
- → Clinically applicable deep learning for diagnosis and referral in retinal disease(2018)2,512 cited
- → A clinically applicable approach to continuous prediction of future acute kidney injury(2019)1,063 cited
- → Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study(2021)320 cited
- → Predicting conversion to wet age-related macular degeneration using deep learning(2020)284 cited
- → Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapy(2018)248 cited
- → Microvascular disease and risk of cardiovascular events among individuals with type 2 diabetes: a population-level cohort study(2016)242 cited
- → Application of Artificial Intelligence for the Diagnosis and Treatment of Liver Diseases(2020)183 cited
- → Rapid advances in auto-segmentation of organs at risk and target volumes in head and neck cancer(2019)137 cited
- → Peripheral neuropathy and the risk of cardiovascular events in type 2 diabetes mellitus(2014)128 cited
- → Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health records(2021)105 cited