Afshin Khadangi

CardioVinci uses deep learning to automate the analysis of 3D cardiac ultrastructure changes from large EM imaging datasets.

EM-net is a deep learning model for electron microscopy image segmentation that outperforms existing methods with smaller ground-truth datasets.

EM-stellar benchmarks deep learning methods for EM image segmentation, showing performance varies with image properties and no method consistently outperforms others.