Spoken sentences decoding based on intracranial high gamma response using dynamic time warping. - Dan Zhang 014; Enhao Gong; Wei Wu; Jiuluan Lin; Wenjing Zhou; Bo Hong (EMBC, 2012)

Recurrent generative adversarial neural networks for compressive imaging. - Morteza Mardani; Enhao Gong; Joseph Y. Cheng; John M. Pauly; Lei Xing 001 (CAMSAP, 2017)

DSD: Dense-Sparse-Dense Training for Deep Neural Networks. - Song Han 003; Jeff Pool; Sharan Narang; Huizi Mao; Enhao Gong; Shijian Tang; Erich Elsen; Peter Vajda; Manohar Paluri; John Tran; Bryan Catanzaro; William J. Dally (ICLR (Poster), 2017)

Deep Generative Adversarial Networks for Compressed Sensing Automates MRI. - Morteza Mardani; Enhao Gong; Joseph Y. Cheng; Shreyas Vasanawala; Greg Zaharchuk; Marcus T. Alley; Neil Thakur; Song Han 003; William J. Dally; John M. Pauly; Lei Xing 001 (CoRR, 2017)

200x Low-dose PET Reconstruction using Deep Learning. - Junshen Xu; Enhao Gong; John M. Pauly; Greg Zaharchuk (CoRR, 2017)

Quantitative susceptibility mapping using deep neural network: QSMnet. - Jaeyeon Yoon; Enhao Gong; Itthi Chatnuntawech; Berkin Bilgic; Jin-Gu Lee; Woojin Jung; Jingyu Ko; Hosan Jung; Kawin Setsompop; Greg Zaharchuk; Eung-Yeop Kim; John M. Pauly; et al. (NeuroImage, 2018)

Task-GAN: Improving Generative Adversarial Network for Image Reconstruction. - Jiahong Ouyang; Guanhua Wang; Enhao Gong; Kevin Chen; John M. Pauly; Greg Zaharchuk (MLMIR@MICCAI, 2019)

Accelerated MRI Reconstruction with Dual-Domain Generative Adversarial Network. - Guanhua Wang; Enhao Gong; Suchandrima Banerjee; John M. Pauly; Greg Zaharchuk (MLMIR@MICCAI, 2019)

Deep Generative Adversarial Neural Networks for Compressive Sensing MRI. - Morteza Mardani; Enhao Gong; Joseph Y. Cheng; Shreyas S. Vasanawala; Greg Zaharchuk; Lei Xing 001; John M. Pauly (IEEE Trans. Medical Imaging, 2019)

Noise-Aware Standard-Dose PET Reconstruction Using General and Adaptive Robust Loss. - Lei Xiang; Long Wang; Enhao Gong; Greg Zaharchuk; Tao Zhang (MLMI@MICCAI, 2020)

Deep learning and multi-contrast-based denoising for low-SNR Arterial Spin Labeling (ASL) MRI. - Enhao Gong; Jia Guo; Jiang Liu 014; Audrey P. Fan; John M. Pauly; Greg Zaharchuk (Image Processing, 2020)

Ultra-low-dose 18F-FDG brain PET/MR denoising using deep learning and multi-contrast information. - Junshen Xu; Enhao Gong; Jiahong Ouyang; John M. Pauly; Greg Zaharchuk (Image Processing, 2020)

Synthesize High-Quality Multi-Contrast Magnetic Resonance Imaging From Multi-Echo Acquisition Using Multi-Task Deep Generative Model. - Guanhua Wang; Enhao Gong; Suchandrima Banerjee; Dann Martin; Elizabeth Tong; Jay Choi; Huijun Chen; Max Wintermark; John M. Pauly; Greg Zaharchuk (IEEE Trans. Medical Imaging, 2020)

Real-Time Video Denoising to Reduce Ionizing Radiation Exposure in Fluoroscopic Imaging. - Dave Van Veen; Ben A. Duffy; Long Wang; Keshav Datta; Tao Zhang; Greg Zaharchuk; Enhao Gong (MLMIR@MICCAI, 2021)

Author Correction: Low-count whole-body PET with deep learning in a multicenter and externally validated study. - Akshay S. Chaudhari; Erik Mittra; Guido A. Davidzon; Praveen Gulaka; Harsh Gandhi; Adam Brown; Tao Zhang; Shyam Srinivas; Enhao Gong; Greg Zaharchuk; Hossein Jadvar (npj Digit. Medicine, 2021)

Low-count whole-body PET with deep learning in a multicenter and externally validated study. - Akshay S. Chaudhari; Erik Mittra; Guido A. Davidzon; Praveen Gulaka; Harsh Gandhi; Adam Brown; Tao Zhang; Shyam Srinivas; Enhao Gong; Greg Zaharchuk; Hossein Jadvar (npj Digit. Medicine, 2021)

One Model to Synthesize Them All: Multi-Contrast Multi-Scale Transformer for Missing Data Imputation. - Jiang Liu 014; Srivathsa Pasumarthi; Ben A. Duffy; Enhao Gong; Keshav Datta; Greg Zaharchuk (IEEE Trans. Medical Imaging, 2023)