Professur für Computational Imaging

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 Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging (2023) Hammernik K, Kustner T, Yaman B, Huang Z, Rueckert D, Knoll F, Akcakaya M Journal article 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 Exploring the Acceleration Limits of Deep Learning Variational Network–based Two-dimensional Brain MRI (2022) Radmanesh A, Muckley MJ, Murrell T, Lindsey E, Sriram A, Knoll F, Sodickson DK, Lui YW Journal article, Original 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 Alternating Learning Approach for Variational Networks and Undersampling Pattern in Parallel MRI Applications (2022) Zibetti MVW, Knoll F, Regatte RR Journal article Deep Learning-Based Respiratory Motion Correction in Free-Breathing Abodiminal Diffusion-Weighted Imaging (2022) Kim J, Gadjimuradov F, Benkert T, Vahle T, Maier A 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