PD Dr. Daniel Giese

Medizinische Fakultät

Fully Automatic Scar Segmentation on LGE Images with Reduced Contrast Agent Dose (2023) Vornehm M, Spiske U, Fenski M, Wetzl J, Preuhs E, Maier A, Schulz-Menger J, Giese D Conference contribution, Abstract of lecture k-t Adaptive Regularization in Variational Networks for Cardiac Cine Reconstruction (2023) Vornehm M, Wetzl J, Giese D, Knoll F Conference contribution, Abstract of a poster Spatiotemporal variational neural network for reconstruction of highly accelerated cardiac cine MRI (2022) Vornehm M, Wetzl J, Giese D, Ahmad R, Knoll F Conference contribution, Abstract of a poster Fully automated background phase correction using M-estimate SAmple consensus (MSAC)-Application to 2D and 4D flow (2022) Fischer C, Wetzl J, Schaeffter T, Giese D Journal article Myocardial scar segmentation on cardiac LGE images with reduced contrast agent dose using deep learning (2022) Vornehm M, Fenski M, Preuhs E, Maier A, Schulz-Menger J, Wetzl J, Giese D Conference contribution, Abstract of lecture Hemodynamic Evaluation of Type B Aortic Dissection Using Compressed Sensing Accelerated 4D Flow MRI (2022) Kilinc O, Chu S, Baraboo J, Weiss EK, Engel J, Maroun A, Giese D, et al. Journal article Improving the Sensitivity to Myocardial Scar in Automatic Segmentations of Left Ventricular Myocardium on LGE Images (2022) Vornehm M, Fenski M, Preuhs E, Maier A, Schulz-Menger J, Wetzl J, Giese D Conference contribution, Abstract of a poster Fully automatic AI-based valve motion parameter extraction on long axis CINE images – application on N=11000 patient datasets (2022) Yoon SS, Fischer C, Toupin S, Pezel T, Garot J, Wetzl J, Maier A, Giese D Conference contribution, Abstract of lecture Fully automatic AI-based extraction of mitral valve motion parameters on long axis CINE images – validation and application on N=2000 patient datasets (2022) Yoon SS, Fischer C, Toupin S, Pezel T, Garot J, Wetzl J, Maier A, Giese D Conference contribution, Abstract of lecture Fully automatic extraction of mitral valve annulus motion parameters on long axis CINE CMR using deep learning (2021) Monzon M, Yoon SS, Fischer C, Maier A, Wetzl J, Giese D Conference contribution, Abstract of a poster