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Deep transform networks for scalable learning of MR reconstruction

Exploring Complex-Valued Neural Networks with Trainable Activation Functions for Magnetic Resonance Imaging

Author:Guillaume Daval-Frerot  Xiao Chen  Simon Arberet  Boris Mailhé  Peter Speier  Mathias Nittka  Heiko Meyer  Mariappan Nadar  

Institution:Siemens Healthcare GmbH  Siemens Healthcare GmbH  Siemens Healthineers  EPITA  

Session Type:Power Pitch  

Session Date:Tuesday, 14 May 2019  

Session Time:13:30  

Session Name:Pitch: Machine Learning Unleashed 1  

Program Number:0469  

Presentation Time:13:30   

Room Number:Power Pitch Theater B - Exhibition Hall  

Computer Number:

Exploring Complex-Valued Neural Networks with Trainable Activation Functions for Magnetic Resonance Imaging

Author:Guillaume Daval-Frerot  Xiao Chen  Simon Arberet  Boris Mailhé  Peter Speier  Mathias Nittka  Heiko Meyer  Mariappan Nadar  

Institution:Siemens Healthcare GmbH  Siemens Healthcare GmbH  Siemens Healthineers  EPITA  

Session Type:Power Pitch Poster  

Session Date:Tuesday, 14 May 2019  

Session Time:14:30  

Session Name:Poster: Machine Learning Unleashed 1  

Program Number:0469  

Presentation Time:14:30   

Room Number:Power Pitch Theater B - Exhibition Hall  

Computer Number:Plasma 20  

GFB-MRF: Parallel spatial and Bloch manifold regularized iterative reconstruction for magnetic resonance fingerprinting

Towards Contrast-Independent Automated Motion Detection Using 2D Adversarial DenseNets