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Advances in MRzero - supervised learning of parallel imaging sequences including joint non-Cartesian trajectory and flip angle optimization

Deep Learning-based Adaptive Image Combination for Signal-Dropout Suppression in Liver DWI

Deep Learning-Based Needle Tracking Trained on Bloch-Simulated Data and Evaluated on Clinical Real-Time bSSFP Images

DeepCEST: 7T Chemical exchange saturation transfer MRI contrast inferred from 3T data via deep learning with uncertainty quantification

Evaluating Universal and Fast Online Customized Pulses for parallel transmission using two different RF coils

Fat-Saturated MR Image Synthesis with Acquisition Parameter-Conditioned Image-to-Image Generative Adversarial Network

Fully automatic extraction of mitral valve annulus motion parameters on long axis CINE CMR using deep learning

Improved B0 mapping with universal parallel transmit pulses at 7 tesla

Partial Fourier Reconstruction in Liver DWI using a Recurrent Convolutional Network

Author:Fasil Gadjimuradov  Thomas Benkert  Marcel Nickel  Andreas Maier  

Session Type:Oral  

Session Date:Tuesday, 18 May 2021  

Topic:Liver  

Session Name:Liver  

Program Number:0315  

Room Session:Concurrent 5  

Institution:Friedrich-Alexander-Universität Erlangen-Nürnberg  Siemens Healthcare GmbH  

Prospective motion assessment within multi-shot imaging using coil mixing of the data consistency error and deep learning