Marc Vornehm

Professur für Computational Imaging

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 Dose reduction for respiratory signal-guided step-and-shoot 4DCT by online dose modulation (2023) Werner R, Schwarz A, Wimmert L, Buttgen L, Vornehm M, Gauer T, Hofmann C Conference contribution, Abstract of a poster Dose reduction in sequence scanning 4D CT imaging through respiratory signal-guided tube current modulation: A feasibility study (2023) Schwarz A, Werner R, Wimmert L, Vornehm M, Gauer T, Hofmann C Journal article Deep learning-based accelerated T1 mapping for cardiac MRI (2023) Amsel D, Vornehm M, Wetzl J, Schmidt M, Knoll F Conference contribution, Abstract of a poster 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 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 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