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Enhao Gong

Showing results (1-10 of 22) with videos related to

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Journal of Magnetic Resonance Imaging : JMRI|February 14, 2018
Deep learning enables reduced gadolinium dose for contrast-enhanced brain MRIEnhao Gong, John M Pauly, Max Wintermark, et al.
Medical Physics|May 28, 2019
Ultra-low-dose PET reconstruction using generative adversarial network with feature matching and task-specific perceptual lossJiahong Ouyang, Kevin T Chen, Enhao Gong, et al.
Medical Physics|September 9, 2023
Erratum: "Ultra-low-dose PET reconstruction using generative adversarial network with feature matching and task-specific perceptual loss"Jiahong Ouyang, Kevin T Chen, Enhao Gong, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Spoken sentences decoding based on intracranial high gamma response using dynamic time warpingDan Zhang, Enhao Gong, Wei Wu, et al.
Magnetic Resonance in Medicine|March 8, 2014
PROMISE: parallel-imaging and compressed-sensing reconstruction of multicontrast imaging using SharablE informationEnhao Gong, Feng Huang, Kui Ying, et al.
IEEE Transactions on Medical Imaging|April 8, 2023
One Model to Synthesize Them All: Multi-Contrast Multi-Scale Transformer for Missing Data ImputationJiang Liu, Srivathsa Pasumarthi, Ben Duffy, et al.
Magnetic Resonance in Medicine|April 29, 2021
A generic deep learning model for reduced gadolinium dose in contrast-enhanced brain MRISrivathsa Pasumarthi, Jonathan I Tamir, Soren Christensen, et al.
Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism|November 15, 2019
Predicting <sup>15</sup>O-Water PET cerebral blood flow maps from multi-contrast MRI using a deep convolutional neural network with evaluation of training cohort biasJia Guo, Enhao Gong, Audrey P Fan, et al.
Magnetic Resonance in Medicine|March 5, 2020
Joint multi-contrast variational network reconstruction (jVN) with application to rapid 2D and 3D imagingDaniel Polak, Stephen Cauley, Berkin Bilgic, et al.
AJR. American Journal of Roentgenology|October 26, 2018
JOURNAL CLUB: Use of Gradient Boosting Machine Learning to Predict Patient Outcome in Acute Ischemic Stroke on the Basis of Imaging, Demographic, and Clinical InformationYuan Xie, Bin Jiang, Enhao Gong, et al.
Pageof 3

Showing results (1-10 of 22) with videos related to

Sort By:
Pageof 3
Journal of Magnetic Resonance Imaging : JMRI|February 14, 2018
Deep learning enables reduced gadolinium dose for contrast-enhanced brain MRIEnhao Gong, John M Pauly, Max Wintermark, et al.
Medical Physics|May 28, 2019
Ultra-low-dose PET reconstruction using generative adversarial network with feature matching and task-specific perceptual lossJiahong Ouyang, Kevin T Chen, Enhao Gong, et al.
Medical Physics|September 9, 2023
Erratum: "Ultra-low-dose PET reconstruction using generative adversarial network with feature matching and task-specific perceptual loss"Jiahong Ouyang, Kevin T Chen, Enhao Gong, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
Spoken sentences decoding based on intracranial high gamma response using dynamic time warpingDan Zhang, Enhao Gong, Wei Wu, et al.
Magnetic Resonance in Medicine|March 8, 2014
PROMISE: parallel-imaging and compressed-sensing reconstruction of multicontrast imaging using SharablE informationEnhao Gong, Feng Huang, Kui Ying, et al.
IEEE Transactions on Medical Imaging|April 8, 2023
One Model to Synthesize Them All: Multi-Contrast Multi-Scale Transformer for Missing Data ImputationJiang Liu, Srivathsa Pasumarthi, Ben Duffy, et al.
Magnetic Resonance in Medicine|April 29, 2021
A generic deep learning model for reduced gadolinium dose in contrast-enhanced brain MRISrivathsa Pasumarthi, Jonathan I Tamir, Soren Christensen, et al.
Journal of Cerebral Blood Flow and Metabolism : Official Journal of the International Society of Cerebral Blood Flow and Metabolism|November 15, 2019
Predicting <sup>15</sup>O-Water PET cerebral blood flow maps from multi-contrast MRI using a deep convolutional neural network with evaluation of training cohort biasJia Guo, Enhao Gong, Audrey P Fan, et al.
Magnetic Resonance in Medicine|March 5, 2020
Joint multi-contrast variational network reconstruction (jVN) with application to rapid 2D and 3D imagingDaniel Polak, Stephen Cauley, Berkin Bilgic, et al.
AJR. American Journal of Roentgenology|October 26, 2018
JOURNAL CLUB: Use of Gradient Boosting Machine Learning to Predict Patient Outcome in Acute Ischemic Stroke on the Basis of Imaging, Demographic, and Clinical InformationYuan Xie, Bin Jiang, Enhao Gong, et al.
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