Nature

Demonstrating the successful application of synthetic learning in spine surgery for training multi–center models with increased patient privacy

From real–time tumor classification to operative outcome prediction, applications of machine learning to neurosurgery are powerful. However, the translation of many of these applications are ...
Nature

Enhancing classification of rare white blood cells in FPM with a physics-inspired GAN

In this work, we propose a novel GAN-based architecture, termed Physics-Inspired GAN (PI-GAN), to generate synthetic bimodal data comprising both intensity and phase images as produced through Fourier ...