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

Echo time dependence of the biexponential and triexponential IVIM parameters in the liver

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

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