Enhao Gong

Citata da

	Tutte	Dal 2020
Citazioni	4341	3607
Indice H	27	24
i10-index	42	40

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16 articoli

1 articolo

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Greg ZaharchukStanford UniversityEmail verificata su stanford.edu
John PaulyProfessor of Electrical Engineering, Stanford UniversityEmail verificata su stanford.edu
Jiahong OuyangPh.D. Student from Electrical Engineering, Stanford UniversityEmail verificata su stanford.edu
Kevin T. ChenNational Taiwan UniversityEmail verificata su ntu.edu.tw
Joseph Y ChengGoogle | Apple & Stanford AlumEmail verificata su alumni.stanford.edu
Max Wintermark, MD, MASStanford UniversityEmail verificata su stanford.edu
Junshen XuPhD student, MIT EECSEmail verificata su mit.edu
Shreyas VasanawalaProfessor of Radiology, Stanford UniversityEmail verificata su stanford.edu
William DallyChief Scientist, NVIDIA; Adjunct Professor of CS and EE, Stanford University;Email verificata su stanford.edu
Song HanMassachusetts Institute of TechnologyEmail verificata su mit.edu
Feng HuangNeusoft Medical SystemEmail verificata su neusoft.com
Tristan Ursell(previously) Assistant Professor of Physics, University of OregonEmail verificata su uoregon.edu
Timothy LeeEmail verificata su alumni.stanford.edu
Kerwyn Casey HuangAssociate Professor of Bioengineering, Stanford UniversityEmail verificata su stanford.edu
Carolina TropiniAssistant Professor, University of British ColumbiaEmail verificata su ubc.ca
Song HuProfessor of Biomedical Engineering, Washington University in St. LouisEmail verificata su wustl.edu
Bo HongAssociate Professor, Biomedical Engineering,School of Medicine, Tsinghua UniversityEmail verificata su tsinghua.edu.cn
Lihong V. WangBren Professor of Medical Engineering and Electrical EngineeringEmail verificata su caltech.edu
Brian Soetikno, MD, PhDStanford UniversityEmail verificata su stanford.edu
Dan ZhangRutgers UniversityEmail verificata su winlab.rutgers.edu

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Enhao Gong

Subtle Medical Inc.; Electrical Engineering, Stanford University; Biomedical Engineering, Tsinghua

Email verificata su subtlemedical.com

Medical Imaging Deep Learning Artificial Intelligence Computational Imaging Radiology


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	659	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	364	2018
Deep learning in neuroradiology G Zaharchuk, E Gong, M Wintermark, D Rubin, CP Langlotz American Journal of Neuroradiology 39 (10), 1776-1784, 2018	346	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	271	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	258	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	239	2018
200x low-dose PET reconstruction using deep learning J Xu, E Gong, J Pauly, G Zaharchuk arXiv preprint arXiv:1712.04119, 2017	194	2017
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	189	2017
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	181	2019
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	178	2018
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	168	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	124	2019
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	98	2016
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	97	2014
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	63	2023
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	62	2022
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	61	2020
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	57	2021
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	57	2021
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	54	2015

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