Marc Vornehm

Professur für Computational Imaging

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 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 Comparison of intelligent 4D CT sequence scanning and conventional spiral 4D CT: A first comprehensive phantom study (2021) Werner R, Szkitsak J, Sentker T, Madesta F, Schwarz A, Fernolendt S, Vornehm M, et al. Journal article Intelligent 4D CT sequence scanning (i4DCT): First scanner prototype implementation and phantom measurements of automated breathing signal-guided 4D CT (2020) Werner R, Sentker T, Madesta F, Schwarz A, Vornehm M, Gauer T, Hofmann C Journal article