Scholar
Sam Bond-Taylor
Google Scholar ID: xQ4rXyoAAAAJ
Senior Researcher at Microsoft Research
Citations & Impact
Citations
1,440
H-index
9
i10-index
9
Publications
13
Co-authors
9
list available
Publications
Resume (English only)
Academic Achievements
- RadEdit: Using diffusion models to edit images for stress-testing biomedical vision models; RAD-DINO: Studying whether pre-training on multi-modal biomedical data can actually be a hindrance compared to uni-modal methods.
Research Experience
- Senior researcher at the Health Futures group in Microsoft Research Cambridge, involved in projects like RadEdit and RAD-DINO.
Education
- PhD from Durham University, where he explored how generative imaging models can be efficiently scaled to high resolutions.
Background
- Senior researcher, focusing on multi-modal medical imaging models, particularly in generative imaging models and efficient scaling to high resolutions.
