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2D and 3D Spiral for Diffusion Weighted MRI with Hyperpolarized 129Xe

Early prediction of cognitive deficits in very preterm infants using graph convolutional networks with brain structural connectome

Improving T1-weighted MRI brain images by optimizing differential identifiability

Author:Bradley Fitzgerald  Kausar Abbas  Thomas Talavage  Joaquin Goni  

Session Type:Digital Poster  

Session Date:Monday, 17 May 2021  

Topic:Quantitative Neuroimaging  

Session Name:Quantitative Neuro: Technical Advances  

Program Number:1289  

Room Session:Concurrent 5  

Institution:Purdue University  University of Cincinnati  

Morphological changes of the corpus callosum in antipsychotic-naive first-episode schizophrenia before and 1-year after treatment

A novel multi-filter convolutional neural network for prediction of cognitive deficits using structural connectome in very preterm infants

Optimized Magnetization Decay Correction of Hyperpolarized 129Xe Ventilation Images Using Radial-Keyhole

Optimizing Acquisition and Analysis for Diffusion Weighted Hyperpolarized 129Xe MRI of Pediatric and Adult Lungs

Preclinical Hyperpolarized 129Xe Ventilation Imaging Using 3D Spiral (FLORET) Encoding

A semi-supervised graph convolutional network for early prediction of motor impairments in very preterm infants using brain connectome