PD Dr. Daniel Giese

Medizinische Fakultät

Deep learning-based image reconstruction for higher resolution cardiac T1 mapping (2024) Amsel D, Vornehm M, Wetzl J, Schmidt M, Tillmanns C, Gebker R, Giese D, et al. Conference contribution, Abstract of a poster Variational Network Meets Conjugate Gradient: Inline Reconstruction and Strain Analysis of Accelerated Cardiac Cine MRI (2024) Vornehm M, Wetzl J, Fürnrohr F, Giese D, Ahmad R, Knoll F Conference contribution, Abstract of a poster Low-Latency Reconstruction of Real-Time Cine MRI Using an Unrolled Network (2024) Vornehm M, Wetzl J, Fürnrohr F, Giese D, Ahmad R, Knoll F Conference contribution, Abstract of lecture Fully automated AI-based cardiac motion parameter extraction – application to mitral and tricuspid valves on long-axis cine MR images (2023) Yoon SS, Fischer C, Amsel D, Monzon M, Toupin S, Pezel T, Garot J, et al. Journal article Towards Low-Latency Deep Learning-Based Reconstruction of Real-Time Cine MRI (2023) Vornehm M, Wetzl J, Giese D, Knoll F Conference contribution, Abstract of a poster Deep Learning-Based Reconstruction of Accelerated Cardiac Cine MRI at 0.55T (2023) Vornehm M, Wetzl J, Giese D, Pang J, Ahmad R, Knoll F Conference contribution, Abstract of a poster 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 Highly accelerated, Dixon-based non-contrast MR angiography versus high-pitch CT angiography (2023) Zeilinger M, Giese D, Schmidt M, May M, Janka RM, Heiß R, Ammon F, et al. Journal article 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