Articles with public access mandates - Enhao GongLearn more
Not available anywhere: 1
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
Mandates: US National Institutes of Health
Available somewhere: 16
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
Mandates: US National Institutes of Health
Deep learning in neuroradiology
G Zaharchuk, E Gong, M Wintermark, D Rubin, CP Langlotz
American Journal of Neuroradiology 39 (10), 1776-1784, 2018
Mandates: US National Institutes of Health
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
Mandates: US National Institutes of Health
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
Mandates: Swiss National Science Foundation, US National Institutes of Health, German …
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
Mandates: US National Institutes of Health
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
Mandates: US National Institutes of Health
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
Mandates: US National Institutes of Health
Clinical assessment of deep learning–based super-resolution for 3D volumetric brain MRI
JD Rudie, T Gleason, MJ Barkovich, DM Wilson, A Shankaranarayanan, ...
Radiology: Artificial Intelligence 4 (2), e210059, 2022
Mandates: US National Institutes of Health
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
Mandates: US National Institutes of Health
One model to synthesize them all: Multi-contrast multi-scale transformer for missing data imputation
J Liu, S Pasumarthi, B Duffy, E Gong, K Datta, G Zaharchuk
IEEE Transactions on Medical Imaging 42 (9), 2577-2591, 2023
Mandates: US National Institutes of Health
Deep learning enables 60% accelerated volumetric brain MRI while preserving quantitative performance: a prospective, multicenter, multireader trial
S Bash, L Wang, C Airriess, G Zaharchuk, E Gong, A Shankaranarayanan, ...
American Journal of Neuroradiology 42 (12), 2130-2137, 2021
Mandates: US National Institutes of Health
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
Mandates: US National Institutes of Health
Optical-resolution photoacoustic microscopy of ischemic stroke
S Hu, E Gonzales, B Soetikno, E Gong, P Yan, K Maslov, JM Lee, ...
Photons Plus Ultrasound: Imaging and Sensing 2011 7899, 41-45, 2011
Mandates: US National Institutes of Health
Tissue at risk and ischemic core estimation using deep learning in acute stroke
Y Yu, Y Xie, T Thamm, E Gong, J Ouyang, S Christensen, MP Marks, ...
American Journal of Neuroradiology 42 (6), 1030-1037, 2021
Mandates: US National Institutes of Health
Applying deep learning to accelerated clinical brain magnetic resonance imaging for multiple sclerosis
A Mani, T Santini, R Puppala, M Dahl, S Venkatesh, E Walker, ...
Frontiers in neurology 12, 685276, 2021
Mandates: US National Institutes of Health
Toward a site and scanner-generic deep learning model for reduced gadolinium dose in contrast-enhanced brain MRI
SP Venkata, J Tamir, E Gong, G Zaharchuk, T Zhang
Proceedings of International Society for Magnetic Resonance in Medicine …, 2020
Mandates: US National Institutes of Health
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