Khaled Saab is a researcher in machine learning for medical imaging, affiliated with Stanford University (Electrical Engineering). His work focuses on robust medical image classification, spurious feature mitigation, and the interplay between segmentation and classification in clinical AI.
Key Publications
- Reducing Reliance on Spurious Features in Medical Image Classification with Spatial Specificity (MLHC 2022)
- A Case for Reframing Automated Medical Image Classification as Segmentation (NeurIPS 2023)