Enhao Gong
Enhao Gong
Subtle Medical Inc.; Electrical Engineering, Stanford University; Biomedical Engineering, Tsinghua
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Deep generative adversarial neural networks for compressive sensing MRI
M Mardani, E Gong, JY Cheng, SS Vasanawala, G Zaharchuk, L Xing, ...
IEEE transactions on medical imaging 38 (1), 167-179, 2018
Deep learning in neuroradiology
G Zaharchuk, E Gong, M Wintermark, D Rubin, CP Langlotz
American Journal of Neuroradiology 39 (10), 1776-1784, 2018
Deep learning enables reduced gadolinium dose for contrast‐enhanced brain MRI
E Gong, JM Pauly, M Wintermark, G Zaharchuk
Journal of magnetic resonance imaging 48 (2), 330-340, 2018
Ultra–Low-Dose 18F-Florbetaben Amyloid PET Imaging Using Deep Learning with Multi-Contrast MRI Inputs
KT Chen, E Gong, FB de Carvalho Macruz, J Xu, A Boumis, M Khalighi, ...
Radiology 290 (3), 649-656, 2019
Dsd: Dense-sparse-dense training for deep neural networks
S Han, J Pool, S Narang, H Mao, E Gong, S Tang, E Elsen, P Vajda, ...
arXiv preprint arXiv:1607.04381, 2016
Quantitative susceptibility mapping using deep neural network: QSMnet
J Yoon, E Gong, I Chatnuntawech, B Bilgic, J Lee, W Jung, J Ko, H Jung, ...
Neuroimage 179, 199-206, 2018
Deep generative adversarial networks for compressed sensing automates MRI
M Mardani, E Gong, JY Cheng, S Vasanawala, G Zaharchuk, M Alley, ...
arXiv preprint arXiv:1706.00051, 2017
200x low-dose PET reconstruction using deep learning
J Xu, E Gong, J Pauly, G Zaharchuk
arXiv preprint arXiv:1712.04119, 2017
ISLES 2016 and 2017-benchmarking ischemic stroke lesion outcome prediction based on multispectral MRI
S Winzeck, A Hakim, R McKinley, JA Pinto, V Alves, C Silva, M Pisov, ...
Frontiers in neurology 9, 679, 2018
Ultra‐low‐dose PET reconstruction using generative adversarial network with feature matching and task‐specific perceptual loss
J Ouyang, KT Chen, E Gong, J Pauly, G Zaharchuk
Medical physics 46 (8), 3555-3564, 2019
Use of deep learning to predict final ischemic stroke lesions from initial magnetic resonance imaging
Y Yu, Y Xie, T Thamm, E Gong, J Ouyang, C Huang, S Christensen, ...
JAMA network open 3 (3), e200772-e200772, 2020
Use of gradient boosting machine learning to predict patient outcome in acute ischemic stroke on the basis of imaging, demographic, and clinical information
Y Xie, B Jiang, E Gong, Y Li, G Zhu, P Michel, M Wintermark, G Zaharchuk
American Journal of Roentgenology 212 (1), 44-51, 2019
A dynamically assembled cell wall synthesis machinery buffers cell growth
TK Lee, C Tropini, J Hsin, SM Desmarais, TS Ursell, E Gong, Z Gitai, ...
Proceedings of the National Academy of Sciences 111 (12), 4554-4559, 2014
Dsd: Regularizing deep neural networks with dense-sparse-dense training flow
S Han, J Pool, S Narang, H Mao, S Tang, E Elsen, B Catanzaro, J Tran, ...
arXiv preprint arXiv:1607.04381, 2016
PROMISE: parallel‐imaging and compressed‐sensing reconstruction of multicontrast imaging using SharablE information
E Gong, F Huang, K Ying, W Wu, S Wang, C Yuan
Magnetic resonance in medicine 73 (2), 523-535, 2015
Synthesize high-quality multi-contrast magnetic resonance imaging from multi-echo acquisition using multi-task deep generative model
G Wang, E Gong, S Banerjee, D Martin, E Tong, J Choi, H Chen, ...
IEEE transactions on medical imaging 39 (10), 3089-3099, 2020
Low-count whole-body PET with deep learning in a multicenter and externally validated study
AS Chaudhari, E Mittra, GA Davidzon, P Gulaka, H Gandhi, A Brown, ...
NPJ digital medicine 4 (1), 127, 2021
A generic deep learning model for reduced gadolinium dose in contrast‐enhanced brain MRI
S Pasumarthi, JI Tamir, S Christensen, G Zaharchuk, T Zhang, E Gong
Magnetic Resonance in Medicine 86 (3), 1687-1700, 2021
Joint multi‐contrast variational network reconstruction (jVN) with application to rapid 2D and 3D imaging
D Polak, S Cauley, B Bilgic, E Gong, P Bachert, E Adalsteinsson, ...
Magnetic resonance in medicine 84 (3), 1456-1469, 2020
Predicting 15O-Water PET cerebral blood flow maps from multi-contrast MRI using a deep convolutional neural network with evaluation of training cohort bias
J Guo, E Gong, AP Fan, M Goubran, MM Khalighi, G Zaharchuk
Journal of Cerebral Blood Flow & Metabolism 40 (11), 2240-2253, 2020
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