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Predicting FDG PET from Multi-contrast MRIs using Deep Learning in Patients with Brain Neoplasms

Five clinical contrasts from 1 minute whole brain MRF with B0 correction

MR Vascular Fingerprinting with 3D realistic blood vessel structures and machine learning to assess oxygenation changes in human volunteers

Comparing the Repeatability of Cerebrovascular Reserve Measured by PET and ASL using Simultaneous PET/MRI

Adaptive Deep Learning MR Image Enhancement with Property Constrained Unrolled Network

Author:Zechen Zhou  Ryan Chamberlain  Praveen Gulaka  Enhao Gong  Greg Zaharchuk  Ajit Shankaranarayanan  

Session Type:Digital Poster  

Session Date:Wednesday, 07 June 2023  

Session Name:ML/AI for Recon & Super Resolution I  

Program Number:4031  

Room Session:Exhibition Halls D/E  

Institution :Subtle Medical Inc  

Knowledge Distillation Enables Efficient Neural Network for Better Generalizability in MR Image Denoising and Super Resolution

Application in the Clinic: Predicting Phenotypes, Prognosis & Outcome

Author:Greg Zaharchuk  

Session Type:Weekend Course  

Session Date:Sunday, 04 June 2023  

Session Name:Deep Learning: From Mathematical Models to Clinical Practice  

Program Number:

Room Session:716A/B  

Institution :Stanford University  

    Comparison of ASL & DSC Perfusion

    Author:Greg Zaharchuk  

    Session Type:Weekend Course  

    Session Date:Saturday, 03 June 2023  

    Session Name:Perfusion & Permeability Throughout the Body  

    Program Number:

    Room Session:714A/B  

    Institution :Stanford University  

      AI/ML Clinical Translation & Impact