Enhao Gong - Concepedia

Author

Enhao Gong

Stanford University ORCID

Also Known As

E GONG, E Gong, E L Gong, E. Gong, E. L. Gong, E.L Gong, E.L. Gong, Enhao GONG, Enhao Gong, Enrui Gong

Publications

4.4K

Citations

H-Index

107

Concepts

All Affiliations

Stanford University Lawrence Berkeley National Laboratory University of California, Berkeley Tsinghua University

About

Enhao Gong is an author at Stanford University specializing in medicine, engineering, and deep learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	12	12	841
2	Medicine	12	12	675
3	Health Sciences	7	7	516
4	Language Studies	1	1	21
5	Natural Sciences	1	1	12

Enhao Gong

Publications

3.8K

Citations

H-Index

Page 1

	Year	Citations
Deep Generative Adversarial Neural Networks for Compressive Sensing MRI Morteza Mardani, Enhao Gong, Joseph Y. Cheng, IEEE Transactions on Medical Imaging	2018	561
Deep learning enables reduced gadolinium dose for contrast‐enhanced brain MRI Enhao Gong, John M. Pauly, Max Wintermark, Journal of Magnetic Resonance Imaging	2018	338
Ultra–Low-Dose<sup>18</sup>F-Florbetaben Amyloid PET Imaging Using Deep Learning with Multi-Contrast MRI Inputs Kevin T. Chen, Enhao Gong, Fabíola Macruz, Radiology	2018	245
Quantitative susceptibility mapping using deep neural network: QSMnet Jaeyeon Yoon, Enhao Gong, Itthi Chatnuntawech, NeuroImage Intelligent DiagnosticsDiagnosisBiostatisticsDeep LearningQuantitative Susceptibility	2018	191
Ultra‐low‐dose PET reconstruction using generative adversarial network with feature matching and task‐specific perceptual loss Jiahong Ouyang, Kevin T. Chen, Enhao Gong, Medical Physics	2019	176
Use of Deep Learning to Predict Final Ischemic Stroke Lesions From Initial Magnetic Resonance Imaging Yannan Yu, Yuan Xie, Thoralf Thamm, JAMA Network Open	2020	165
ISLES 2016 and 2017-Benchmarking Ischemic Stroke Lesion Outcome Prediction Based on Multispectral MRI Stefan Winzeck, Arsany Hakim, Richard McKinley, Frontiers in Neurology Artificial IntelligenceConvolutional Neural NetworkMedical Image SegmentationEngineeringMachine Learning	2018	162
DSD: Dense-Sparse-Dense Training for Deep Neural Networks Song Han, Jeff Pool, Sharan Narang, arXiv (Cornell University) Convolutional Neural NetworkDeep Neural NetworksEngineeringMachine LearningData Science	2016	143
Deep Generative Adversarial Networks for Compressed Sensing Automates MRI Morteza Mardani, Enhao Gong, Joseph Y. Cheng, arXiv (Cornell University) Convolutional Neural NetworkEngineeringMachine LearningAutoencodersDiagnostic Quality Images	2017	131
Use of Gradient Boosting Machine Learning to Predict Patient Outcome in Acute Ischemic Stroke on the Basis of Imaging, Demographic, and Clinical Information Yuan Xie, Bin Jiang, Enhao Gong, American Journal of Roentgenology	2018	131

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