Overview

Gender

male

Enhao Gong is a PhD in Electrical Engineering (PhD Minor in Computer Science) at Stanford and researcher at Stanford School of Medicine and Subtle Medical.His research focus is on applying machine learning, deep learning and optimization for medical imaging reconstruction and processing. Specifically, he is working on fast Magnetic Resonance Imaging (MRI) algorithms, multi-contrast neuroimaging applications (MRI, PET/MR). He is advised by Professor John Pauly in Electrical Engineering and Professor Greg Zaharchuk in Radiology at Stanford.Recently he is pioneering to bridge deep learning methods with MRI reconstruction, such as enhancing image quality with Deep Learning and multi-contrast information, solving quantitative imaging (water-fat separation, QSM, parameter mapping) using Deep Learning framework as well as using Generative Adversarial Network (GAN) for Compressed Sensing MRI. At Subtle Medical, he is pushing the performance of deep learning methods to boost the efficiency and value for medical imaging.