Enhao Gong

According to our database, Enhao Gong authored at least 18 papers between 2012 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

One Model to Synthesize Them All: Multi-Contrast Multi-Scale Transformer for Missing Data Imputation.

Jiang Liu, Srivathsa Pasumarthi, Ben A. Duffy, Enhao Gong, Keshav Datta, Greg Zaharchuk

IEEE Trans. Medical Imaging, September, 2023

2022

One Model to Synthesize Them All: Multi-contrast Multi-scale Transformer for Missing Data Imputation.

Jiang Liu, Srivathsa Pasumarthi, Ben A. Duffy, Enhao Gong, Greg Zaharchuk, Keshav Datta

CoRR, 2022

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

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

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

Proceedings of the Machine Learning for Medical Image Reconstruction, 2021

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

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

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Deep learning and multi-contrast-based denoising for low-SNR Arterial Spin Labeling (ASL) MRI.

Enhao Gong, Jia Guo, Jiang Liu, Audrey P. Fan, John M. Pauly, Greg Zaharchuk

Proceedings of the Medical Imaging 2020: Image Processing, 2020

Noise-Aware Standard-Dose PET Reconstruction Using General and Adaptive Robust Loss.

Lei Xiang, Long Wang, Enhao Gong, Greg Zaharchuk, Tao Zhang

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

2019

Deep Generative Adversarial Neural Networks for Compressive Sensing MRI.

Morteza Mardani, Enhao Gong, Joseph Y. Cheng, Shreyas S. Vasanawala, Greg Zaharchuk, Lei Xing, John M. Pauly

IEEE Trans. Medical Imaging, 2019

Accelerated MRI Reconstruction with Dual-Domain Generative Adversarial Network.

Guanhua Wang, Enhao Gong, Suchandrima Banerjee, John M. Pauly, Greg Zaharchuk

Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

Task-GAN: Improving Generative Adversarial Network for Image Reconstruction.

Jiahong Ouyang, Guanhua Wang, Enhao Gong, Kevin Chen, John M. Pauly, Greg Zaharchuk

Proceedings of the Machine Learning for Medical Image Reconstruction, 2019

2018

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, Jongho Lee

NeuroImage, 2018

2017

200x Low-dose PET Reconstruction using Deep Learning.

Junshen Xu, Enhao Gong, John M. Pauly, Greg Zaharchuk

CoRR, 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, William J. Dally, John M. Pauly, Lei Xing

CoRR, 2017

DSD: Dense-Sparse-Dense Training for Deep Neural Networks.

Song Han, Jeff Pool, Sharan Narang, Huizi Mao, Enhao Gong, Shijian Tang, Erich Elsen, Peter Vajda, Manohar Paluri, John Tran, Bryan Catanzaro, William J. Dally

Proceedings of the 5th International Conference on Learning Representations, 2017

Recurrent generative adversarial neural networks for compressive imaging.

Morteza Mardani, Enhao Gong, Joseph Y. Cheng, John M. Pauly, Lei Xing

Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2012

Spoken sentences decoding based on intracranial high gamma response using dynamic time warping.

Dan Zhang, Enhao Gong, Wei Wu, Jiuluan Lin, Wenjing Zhou, Bo Hong

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012