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

Joint estimation of activity and attenuation using 68Ga-PSMA TOF PET/MR in patients with hip endoprosthesis

Leveraging conditional GANs with adaptive loss balancing for MRI sparse reconstruction.

Author:Itzik Malkiel  Sangtae Ahn  Valentina Taviani  Anne Menini  Zachary Slavens  Christopher Hardy  

Institution:GE Global Research  Ge Healthcare  GE Healthcare  

Session Type:Power Pitch  

Session Date:Tuesday, 14 May 2019  

Session Time:13:30  

Session Name:Pitch: Machine Learning Unleashed 1  

Program Number:0474  

Presentation Time:13:30   

Room Number:Power Pitch Theater B - Exhibition Hall  

Computer Number:

Leveraging conditional GANs with adaptive loss balancing for MRI sparse reconstruction.

Author:Itzik Malkiel  Sangtae Ahn  Valentina Taviani  Anne Menini  Zachary Slavens  Christopher Hardy  

Institution:GE Global Research  Ge Healthcare  GE Healthcare  

Session Type:Power Pitch Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:14:30  

Session Name:Poster: Machine Learning Unleashed 1  

Program Number:0474  

Presentation Time:14:30   

Room Number:Power Pitch Theater B - Exhibition Hall  

Computer Number:Plasma 25  

Towards motion-robust MRI – Autonomous motion timing and correction during MR scanning using multi-coil data and a deep-learning neural network

Author:Rafi Brada  Michael Rotman  Ron Wein  Sangtae Ahn  Itzik Malkiel  Christopher Hardy  

Institution:GE Global Research  

Session Type:Digital Poster  

Session Date:Thursday, 16 May 2019  

Session Time:08:15  

Session Name:Motion Correction: Brain  

Program Number:4438  

Presentation Time:08:15   

Room Number:Exhibition Hall  

Computer Number:Computer 65