Jim Winkens
Google (United States)(US)University of Amsterdam(NL)
Publications by Year
Research Areas
AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, Retinal Imaging and Analysis, Artificial Intelligence in Healthcare and Education, Digital Imaging for Blood Diseases
Most-Cited Works
- → Rotation Equivariant CNNs for Digital Pathology(2018)418 cited
- → Predicting conversion to wet age-related macular degeneration using deep learning(2020)284 cited
- → Robust and data-efficient generalization of self-supervised machine learning for diagnostic imaging(2023)215 cited
- → Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians(2023)99 cited
- → Contrastive Training for Improved Out-of-Distribution Detection(2020)52 cited
- → Robust and Efficient Medical Imaging with Self-Supervision(2022)31 cited
- → Does your dermatology classifier know what it doesn’t know? Detecting the long-tail of unseen conditions(2021)16 cited
- → Sample Efficient Semantic Segmentation using Rotation Equivariant Convolutional Networks(2018)16 cited
- Improved Semantic Segmentation for Histopathology using Rotation Equivariant Convolutional Networks(2018)
- → Enhancing the reliability and accuracy of AI-enabled diagnosis via complementarity-driven deferral to clinicians (CoDoC)(2022)4 cited