Safoora Yousefi

This paper transfers features from nucleus detection to classification in histopathology images using a small annotated dataset, achieving superior performance and generalization to new stains.

This study uses deep learning to predict cancer patient outcomes by integrating histology images and genomic data, showing improved performance over current clinical methods for glioma survival prediction.

This paper applies deep learning and Bayesian optimization to predict cancer clinical outcomes from genomic data, showing improved prognostic accuracy through transfer learning and providing an open-source framework.