PD Dr. Daniel Giese

Medizinische Fakultät

CineVN: Variational network reconstruction for rapid functional cardiac cine MRI (2024) Vornehm M, Wetzl J, Giese D, Fürnrohr F, Pang J, Chow K, Gebker R, et al. Journal article Data Consistent Variational Networks for Zero-shot Self-supervised MR Reconstruction (2024) Fürnrohr F, Wetzl J, Vornehm M, Giese D, Knoll F Conference contribution Training deep learning reconstruction models for radial real-time cardiac cine MRI using synthetic golden-angle data (2024) Ott Y, Vornehm M, Wetzl J, Giese D, Knoll F Conference contribution, Abstract of lecture 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 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 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