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Enhao Gong
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2020 – today
- 2023
- [j6]Jiang Liu
, Srivathsa Pasumarthi
One Model to Synthesize Them All: Multi-Contrast Multi-Scale Transformer for Missing Data Imputation. IEEE Trans. Medical Imaging 42(9): 2577-2591 (2023) - 2022
- [i3]Jiang Liu, Srivathsa Pasumarthi, Ben A. Duffy, Enhao Gong, Greg Zaharchuk, Keshav Datta:
One Model to Synthesize Them All: Multi-contrast Multi-scale Transformer for Missing Data Imputation. CoRR abs/2204.13738 (2022) - 2021
- [j5]Akshay S. Chaudhari
Author Correction: Low-count whole-body PET with deep learning in a multicenter and externally validated study. npj Digit. Medicine 4 (2021) - [j4]Akshay S. Chaudhari
Low-count whole-body PET with deep learning in a multicenter and externally validated study. npj Digit. Medicine 4 (2021) - [c9]Dave Van Veen
Real-Time Video Denoising to Reduce Ionizing Radiation Exposure in Fluoroscopic Imaging. MLMIR@MICCAI 2021: 109-119 - 2020
- [j3]Guanhua Wang
Synthesize High-Quality Multi-Contrast Magnetic Resonance Imaging From Multi-Echo Acquisition Using Multi-Task Deep Generative Model. IEEE Trans. Medical Imaging 39(10): 3089-3099 (2020) - [c8]Lei Xiang, Long Wang, Enhao Gong, Greg Zaharchuk, Tao Zhang:
Noise-Aware Standard-Dose PET Reconstruction Using General and Adaptive Robust Loss. MLMI@MICCAI 2020: 654-662 - [c7]Enhao Gong, Jia Guo, Jiang Liu, Audrey P. Fan, John M. Pauly
Deep learning and multi-contrast-based denoising for low-SNR Arterial Spin Labeling (ASL) MRI. Image Processing 2020: 113130M - [c6]Junshen Xu, Enhao Gong, Jiahong Ouyang, John M. Pauly
Ultra-low-dose 18F-FDG brain PET/MR denoising using deep learning and multi-contrast information. Image Processing 2020: 113131P
2010 – 2019
- 2019
- [j2]Morteza Mardani
Deep Generative Adversarial Neural Networks for Compressive Sensing MRI. IEEE Trans. Medical Imaging 38(1): 167-179 (2019) - [c5]Guanhua Wang, Enhao Gong, Suchandrima Banerjee, John M. Pauly
Accelerated MRI Reconstruction with Dual-Domain Generative Adversarial Network. MLMIR@MICCAI 2019: 47-57 - [c4]Jiahong Ouyang, Guanhua Wang, Enhao Gong, Kevin Chen, John M. Pauly
Task-GAN: Improving Generative Adversarial Network for Image Reconstruction. MLMIR@MICCAI 2019: 193-204 - 2018
- [j1]Jaeyeon Yoon, Enhao Gong, Itthi Chatnuntawech, Berkin Bilgic
Quantitative susceptibility mapping using deep neural network: QSMnet. NeuroImage 179: 199-206 (2018) - 2017
- [c3]Morteza Mardani, Enhao Gong, Joseph Y. Cheng, John M. Pauly, Lei Xing:
Recurrent generative adversarial neural networks for compressive imaging. CAMSAP 2017: 1-5 - [c2]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:
DSD: Dense-Sparse-Dense Training for Deep Neural Networks. ICLR (Poster) 2017 - [i2]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:
Deep Generative Adversarial Networks for Compressed Sensing Automates MRI. CoRR abs/1706.00051 (2017) - [i1]Junshen Xu, Enhao Gong, John M. Pauly, Greg Zaharchuk:
200x Low-dose PET Reconstruction using Deep Learning. CoRR abs/1712.04119 (2017) - 2012
- [c1]Dan Zhang, Enhao Gong, Wei Wu, Jiuluan Lin, Wenjing Zhou, Bo Hong
Spoken sentences decoding based on intracranial high gamma response using dynamic time warping. EMBC 2012: 3292-3295
Coauthor Index
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