Elisabeth Hoppe

Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung)

Robust multi-contrast MRI denoising using trainable bilateral filters without noise-free targets (2023) Pfaff L, Wagner F, Hoßbach J, Preuhs E, Maul N, Thies M, Denzinger F, et al. Conference contribution Quantitative evaluation of denoising algorithms without noise-free ground-truth data (2023) Pfaff L, Wagner F, Hoßbach J, Preuhs E, Nickel MD, Wuerfl T, Maier A Conference contribution Unsupervised denoising of prostate DWI (2023) Pfaff L, Wagner F, Hoßbach J, Preuhs E, Gadjimuradov F, Benkert T, Nickel MD, et al. Conference contribution Automated Cardiac Resting Phase Detection Targeted on the Right Coronary Artery (2023) Yoon SS, Preuhs E, Schmidt M, Forman C, Chitiboi T, Sharma P, Fernandes JL, et al. 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 Training a tunable, spatially-adaptive denoiser without clean targets (2022) Pfaff L, Hoßbach J, Preuhs E, Arroyo Camejo S, Nickel MD, Maier A, Wuerfl T Conference contribution Acquisition and Reconstruction Methods for Multidimensional and Quantitative Magnetic Resonance Imaging (2022) Preuhs E Thesis 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 X-ray Scatter Estimation Using Deep Splines (2021) Roser P, Birkhold A, Preuhs A, Syben-Leisner C, Felsner L, Hoppe E, Strobel N, et al. Journal article