Trevor Back
Google DeepMind (United Kingdom)(GB)
Publications by Year
Research Areas
Sepsis Diagnosis and Treatment, AI in cancer detection, Retinal Imaging and Analysis, Acute Kidney Injury Research, Radiomics and Machine Learning in Medical Imaging
Most-Cited Works
- → Highly accurate protein structure prediction with AlphaFold(2021)42,910 cited
- → International evaluation of an AI system for breast cancer screening(2020)2,975 cited
- → The Kinetics Human Action Video Dataset(2017)2,882 cited
- → 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
- → Applying and improving AlphaFold at CASP14(2021)407 cited
- → Unveiling the predictive power of static structure in glassy systems(2020)328 cited
- → Clinically Applicable Segmentation of Head and Neck Anatomy for Radiotherapy: Deep Learning Algorithm Development and Validation Study(2021)319 cited
- → Automated deep learning design for medical image classification by health-care professionals with no coding experience: a feasibility study(2019)309 cited
- → Predicting conversion to wet age-related macular degeneration using deep learning(2020)284 cited