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IEEE Transactions on Medical Imaging
|
July 25, 2018
Deep Generative Adversarial Neural Networks for Compressive Sensing MRI
Morteza Mardani, Enhao Gong, Joseph Y Cheng, et al.
IEEE Transactions on Medical Imaging
|
April 15, 2020
Synthesize High-Quality Multi-Contrast Magnetic Resonance Imaging From Multi-Echo Acquisition Using Multi-Task Deep Generative Model
Guanhua Wang, Enhao Gong, Suchandrima Banerjee, et al.
NPJ Digital Medicine
|
August 24, 2021
Low-count whole-body PET with deep learning in a multicenter and externally validated study
Akshay S Chaudhari, Erik Mittra, Guido A Davidzon, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
February 20, 2014
A dynamically assembled cell wall synthesis machinery buffers cell growth
Timothy K Lee, Carolina Tropini, Jen Hsin, et al.
NPJ Digital Medicine
|
September 15, 2021
Author Correction: Low-count whole-body PET with deep learning in a multicenter and externally validated study
Akshay S Chaudhari, Erik Mittra, Guido A Davidzon, et al.
Radiology. Artificial Intelligence
|
April 8, 2022
Clinical Assessment of Deep Learning-based Super-Resolution for 3D Volumetric Brain MRI
Jeffrey D Rudie, Tyler Gleason, Matthew J Barkovich, et al.
JAMA Network Open
|
March 13, 2020
Use of Deep Learning to Predict Final Ischemic Stroke Lesions From Initial Magnetic Resonance Imaging
Yannan Yu, Yuan Xie, Thoralf Thamm, et al.
Neuroimage
|
June 13, 2018
Quantitative susceptibility mapping using deep neural network: QSMnet
Jaeyeon Yoon, Enhao Gong, Itthi Chatnuntawech, et al.
Radiology
|
August 18, 2020
Ultra-Low-Dose <sup>18</sup>F-Florbetaben Amyloid PET Imaging Using Deep Learning with Multi-Contrast MRI Inputs
Kevin T Chen, Enhao Gong, Fabiola Bezerra de Carvalho Macruz, et al.
Radiology
|
December 12, 2018
Ultra-Low-Dose <sup>18</sup>F-Florbetaben Amyloid PET Imaging Using Deep Learning with Multi-Contrast MRI Inputs
Kevin T Chen, Enhao Gong, Fabiola Bezerra de Carvalho Macruz, et al.
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Showing results (11-20 of 22) with videos related to
Sort By:
Page
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IEEE Transactions on Medical Imaging
|
July 25, 2018
Deep Generative Adversarial Neural Networks for Compressive Sensing MRI
Morteza Mardani, Enhao Gong, Joseph Y Cheng, et al.
IEEE Transactions on Medical Imaging
|
April 15, 2020
Synthesize High-Quality Multi-Contrast Magnetic Resonance Imaging From Multi-Echo Acquisition Using Multi-Task Deep Generative Model
Guanhua Wang, Enhao Gong, Suchandrima Banerjee, et al.
NPJ Digital Medicine
|
August 24, 2021
Low-count whole-body PET with deep learning in a multicenter and externally validated study
Akshay S Chaudhari, Erik Mittra, Guido A Davidzon, et al.
Proceedings of the National Academy of Sciences of the United States of America
|
February 20, 2014
A dynamically assembled cell wall synthesis machinery buffers cell growth
Timothy K Lee, Carolina Tropini, Jen Hsin, et al.
NPJ Digital Medicine
|
September 15, 2021
Author Correction: Low-count whole-body PET with deep learning in a multicenter and externally validated study
Akshay S Chaudhari, Erik Mittra, Guido A Davidzon, et al.
Radiology. Artificial Intelligence
|
April 8, 2022
Clinical Assessment of Deep Learning-based Super-Resolution for 3D Volumetric Brain MRI
Jeffrey D Rudie, Tyler Gleason, Matthew J Barkovich, et al.
JAMA Network Open
|
March 13, 2020
Use of Deep Learning to Predict Final Ischemic Stroke Lesions From Initial Magnetic Resonance Imaging
Yannan Yu, Yuan Xie, Thoralf Thamm, et al.
Neuroimage
|
June 13, 2018
Quantitative susceptibility mapping using deep neural network: QSMnet
Jaeyeon Yoon, Enhao Gong, Itthi Chatnuntawech, et al.
Radiology
|
August 18, 2020
Ultra-Low-Dose <sup>18</sup>F-Florbetaben Amyloid PET Imaging Using Deep Learning with Multi-Contrast MRI Inputs
Kevin T Chen, Enhao Gong, Fabiola Bezerra de Carvalho Macruz, et al.
Radiology
|
December 12, 2018
Ultra-Low-Dose <sup>18</sup>F-Florbetaben Amyloid PET Imaging Using Deep Learning with Multi-Contrast MRI Inputs
Kevin T Chen, Enhao Gong, Fabiola Bezerra de Carvalho Macruz, et al.
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of 3