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Hybrid image and k-space deep learning reconstruction exploiting spatio-temporal redundancies for 2D cardiac CINE

Machine Enhanced Reconstruction Learning and Interpretation Networks (MERLIN)

Machine Learning for the Speed-Up of CMR

Author:Thomas Küstner  

Session Type:Sunrise Course  

Session Date:Wednesday, 11 May 2022  

Topic:

Session Name:Extending Cardiovascular MR: Machine Learning in the Clinic  

Program Number:

Room Session:ICC Capital Suite 8-9  

Institution:University Hospital Tuebingen  

    Self-supervised Training for Single-Shot Tumor Tracking in the Presence of Respiratory Motion

    Self-supervised Training for Single-Shot Tumor Tracking in the Presence of Respiratory Motion

    Uncertainty estimation via ensembling for deep learning-based MR image reconstruction