Ken Chang

Ken Chang is a radiologist-scientist who has conducted pioneering studies on distributed deep learning for brain tumor detection across multiple institutions without sharing patient imaging data. His federated learning experiments demonstrated that collaboratively trained models outperform single-institution models for glioma segmentation and classification. His research has provided key evidence supporting federated approaches for cancer imaging AI.