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Deep learning-based uncertainty estimation: application in PET/MRI joint estimation of attenuation and activity for patients with metal implants

GAN based continuous pseudo-CT computation for PET/MR attenuation correction and MR-guided radiation therapy planning

Author:Sandeep Kaushik  Dattesh Shanbhag  Andrew Leynes  Cristina Cozzini  Anuprriya Gogna  Peder Larson  Florian Wiesinger  

Institution:GE Global Research  Ge Healthcare  GE Healthcare  UCSF  

Session Type:Digital Poster  

Session Date:Wednesday, 15 May 2019  

Session Time:16:45  

Session Name:Molecular & Metabolic Imaging: Technical Developments & Novel Applications  

Program Number:4337  

Presentation Time:16:45   

Room Number:Exhibition Hall  

Computer Number:Computer 137  

MR to pseudo CT conversion:  Combining Deep-Learning and Analytical Image Processing

Synthetic MRI through a Deep Neural Network Based Relaxometry and Segmentation

Author:Peng Cao  Jing Liu  Shuyu Tang  Andrew Leynes  Peder Larson  

Institution:University of California at San Francisco  

Session Type:Power Pitch  

Session Date:Monday, 13 May 2019  

Session Time:08:15  

Session Name:Pitch: Artificial Intelligence Neuro  

Program Number:0016  

Presentation Time:08:15   

Room Number:Power Pitch Theater B - Exhibition Hall  

Computer Number:

Synthetic MRI through a Deep Neural Network Based Relaxometry and Segmentation

Author:Peng Cao  Jing Liu  Shuyu Tang  Andrew Leynes  Peder Larson  

Institution:University of California at San Francisco  

Session Type:Power Pitch Poster  

Session Date:Monday, 13 May 2019  

Session Time:09:15  

Session Name:Poster: Artificial Intellience Neuro  

Program Number:0016  

Presentation Time:09:15   

Room Number:Power Pitch Theater B - Exhibition Hall  

Computer Number:Plasma 16  

Visualizing the “ideal” input MRI for synthetic CT generation with a trained deep convolutional neural network: Can we improve the inputs for deep learning models?