Clemens Meyer
Publications by Year
Research Areas
Protein Structure and Dynamics, Sepsis Diagnosis and Treatment, Advanced Radiotherapy Techniques, Machine Learning in Bioinformatics, Machine Learning in Healthcare
Most-Cited Works
- → Highly accurate protein structure prediction with AlphaFold(2021)42,934 cited
- → Highly accurate protein structure prediction for the human proteome(2021)3,137 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
- → Gemini: A Family of Highly Capable Multimodal Models(2023)790 cited
- → Applying and improving AlphaFold at CASP14(2021)407 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
- → A Probabilistic U-Net for Segmentation of Ambiguous Images(2018)151 cited