Enhao Gong - RankMe

18 papers B 2Journal 9Unranked 7

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	One Model to Synthesize Them All: Multi-Contrast Multi-Scale Transformer for Missing Data Imputation. IEEE Trans. Medical Imaging Jiang Liu, Srivathsa Pasumarthi, Ben A. Duffy, Enhao Gong, Keshav Datta, Greg Zaharchuk
2022	J	`jnl`	One Model to Synthesize Them All: Multi-contrast Multi-scale Transformer for Missing Data Imputation. CoRR Jiang Liu, Srivathsa Pasumarthi, Ben A. Duffy, Enhao Gong, Greg Zaharchuk, Keshav Datta
2021	J	`jnl`	Author Correction: Low-count whole-body PET with deep learning in a multicenter and externally validated study. npj Digit. Medicine Akshay S. Chaudhari, Erik Mittra, Guido A. Davidzon, Praveen Gulaka, Harsh Gandhi, Adam Brown, Tao Zhang, Shyam Srinivas, Enhao Gong, Greg Zaharchuk, Hossein Jadvar
2021	J	`jnl`	Low-count whole-body PET with deep learning in a multicenter and externally validated study. npj Digit. Medicine Akshay S. Chaudhari, Erik Mittra, Guido A. Davidzon, Praveen Gulaka, Harsh Gandhi, Adam Brown, Tao Zhang, Shyam Srinivas, Enhao Gong, Greg Zaharchuk, Hossein Jadvar
2021	—	`conf`	Real-Time Video Denoising to Reduce Ionizing Radiation Exposure in Fluoroscopic Imaging. MLMIR@MICCAI Dave Van Veen, Ben A. Duffy, Long Wang, Keshav Datta, Tao Zhang, Greg Zaharchuk, Enhao Gong
2020	B	`conf`	Deep learning and multi-contrast-based denoising for low-SNR Arterial Spin Labeling (ASL) MRI. Image Processing Enhao Gong, Jia Guo, Jiang Liu, Audrey P. Fan, John M. Pauly, Greg Zaharchuk
2020	—	`conf`	Noise-Aware Standard-Dose PET Reconstruction Using General and Adaptive Robust Loss. MLMI@MICCAI Lei Xiang, Long Wang, Enhao Gong, Greg Zaharchuk, Tao Zhang
2020	J	`jnl`	Synthesize High-Quality Multi-Contrast Magnetic Resonance Imaging From Multi-Echo Acquisition Using Multi-Task Deep Generative Model. IEEE Trans. Medical Imaging Guanhua Wang, Enhao Gong, Suchandrima Banerjee, Dann Martin, Elizabeth Tong, Jay Choi, Huijun Chen, Max Wintermark, John M. Pauly, Greg Zaharchuk
2020	B	`conf`	Ultra-low-dose 18F-FDG brain PET/MR denoising using deep learning and multi-contrast information. Image Processing Junshen Xu, Enhao Gong, Jiahong Ouyang, John M. Pauly, Greg Zaharchuk
2019	—	`conf`	Accelerated MRI Reconstruction with Dual-Domain Generative Adversarial Network. MLMIR@MICCAI Guanhua Wang, Enhao Gong, Suchandrima Banerjee, John M. Pauly, Greg Zaharchuk
2019	J	`jnl`	Deep Generative Adversarial Neural Networks for Compressive Sensing MRI. IEEE Trans. Medical Imaging Morteza Mardani, Enhao Gong, Joseph Y. Cheng, Shreyas S. Vasanawala, Greg Zaharchuk, Lei Xing, John M. Pauly
2019	—	`conf`	Task-GAN: Improving Generative Adversarial Network for Image Reconstruction. MLMIR@MICCAI Jiahong Ouyang, Guanhua Wang, Enhao Gong, Kevin Chen, John M. Pauly, Greg Zaharchuk
2018	J	`jnl`	Quantitative susceptibility mapping using deep neural network: QSMnet. NeuroImage 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
2017	J	`jnl`	200x Low-dose PET Reconstruction using Deep Learning. CoRR Junshen Xu, Enhao Gong, John M. Pauly, Greg Zaharchuk
2017	—	`conf`	DSD: Dense-Sparse-Dense Training for Deep Neural Networks. ICLR (Poster) 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
2017	J	`jnl`	Deep Generative Adversarial Networks for Compressed Sensing Automates MRI. CoRR 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
2017	—	`conf`	Recurrent generative adversarial neural networks for compressive imaging. CAMSAP Morteza Mardani, Enhao Gong, Joseph Y. Cheng, John M. Pauly, Lei Xing
2012	—	`conf`	Spoken sentences decoding based on intracranial high gamma response using dynamic time warping. EMBC Dan Zhang, Enhao Gong, Wei Wu, Jiuluan Lin, Wenjing Zhou, Bo Hong