Joseph R. Ledsam
Google (United States)(US)
Publications by Year
Research Areas
AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, Retinal Imaging and Analysis, COVID-19 diagnosis using AI, Artificial Intelligence in Healthcare and Education
Most-Cited Works
- → International evaluation of an AI system for breast cancer screening(2020)2,975 cited
- → Clinically applicable deep learning for diagnosis and referral in retinal disease(2018)2,512 cited
- → A comparison of deep learning performance against health-care professionals in detecting diseases from medical imaging: a systematic review and meta-analysis(2019)1,737 cited
- → Effective gene expression prediction from sequence by integrating long-range interactions(2021)1,175 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)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
- → 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