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Does Simultaneous Morphological Inputs Matter for Deep Learning Enhancement of Ultra-low Amyloid PET/MRI?

Author:Kevin Chen  Olalekan Adeyeri  Tyler Toueg  Elizabeth Mormino  Mehdi Khalighi  Greg Zaharchuk  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Image Analysis  

Session Name:Machine Learning: Multimodal & Multireader Insights  

Program Number:2422  

Room Session:Concurrent 1  

Institution:Salem State University  Stanford University  

Generalizing Ultra-low-dose PET/MRI Networks Across Radiotracers: From Amyloid to Tau

Author:Kevin Chen  Olalekan Adeyeri  Tyler Toueg  Elizabeth Mormino  Mehdi Khalighi  Greg Zaharchuk  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Modelling, Reconstruction & Processing in Low-Field MRI & PET-MRI  

Program Number:2194  

Room Session:Concurrent 1  

Institution:Salem State University  Stanford University  

High resolution PET image denoising using anatomical priors by K-nearest neighborhood method in the feature space

Author:Mehdi Khalighi  Timothy Deller  Kevin Chen  Tyler Toueg  Dawn Holley  Kim Halbert  Floris Jansen  Elizabeth Mormino  Michael Zeineh  Farshad Moradi  Greg Zaharchuk  Andrei Iagaru  

Session Type:Digital Poster  

Session Date:Tuesday, 18 May 2021  

Topic:Machine Learning for Quantitative Imaging  

Session Name:Modelling, Reconstruction & Processing in Low-Field MRI & PET-MRI  

Program Number:2184  

Room Session:Concurrent 1  

Institution:GE Healthcare  Stanford University  

High Resolution PET/MR Imaging Using Anatomical Priors & Motion Correction

Author:Mehdi Khalighi  Timothy Deller  Floris Jansen  Mackenzie Carlson  Tyler Toueg  Steven Lai  Dawn Holley  Kim Halbert  Elizabeth Mormino  Jong Yoon  Greg Zaharchuk  Michael Zeineh  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:Motion Correction Strategies  

Session Name:Motion: Brain & Body  

Program Number:1386  

Room Session:Concurrent 1  

Institution:GE Healthcare  Stanford University