PD Dr. med. Sebastian Bickelhaupt

Institute of Radiology

Stability of Radiomic Features against Variations in Lesion Segmentations Computed on Apparent Diffusion Coefficient Maps of Breast Lesions (2024) Pistel M, Brock L, Laun FB, Erber R, Weiland E, Uder M, Wenkel E, et al. Journal article Diffusion-Weighted Imaging for Skin Pathologies of the Breast—A Feasibility Study (2024) Skwierawska D, Laun FB, Wenkel E, Kapsner L, Janka RM, Uder M, Ohlmeyer S, Bickelhaupt S Journal article Initial experience with a next-generation low-field MRI scanner: Potential for breast imaging? (2024) Dietzel M, Laun FB, Heiß R, Wenkel E, Bickelhaupt S, Hack C, Uder M, Ohlmeyer S Journal article Relevance of Prostatic Fluid on the Apparent Diffusion Coefficient: An Inversion Recovery Diffusion-Weighted Imaging Investigation (2024) Skwierawska D, Bickelhaupt S, Bachl M, Janka RM, Murr M, Gloger F, Kuder TA, et al. Journal article Comparative Study on Co-registration Techniques for Diffusion-Weighted Breast MRI and Improved ADC Mapping (2024) Brock L, Liebert A, Schreiter H, Skwierawska D, Ehring C, Eberle J, Laun FB, et al. Conference contribution Relevance of lesion size in navigator-triggered and free-breathing diffusion-weighted liver MRI (2024) Reithmeier B, Laun FB, Führes T, Uder M, Bickelhaupt S, Saake M Journal article How to best match voxels - evaluating different sequential co-registration strategies for ultra-high b-value DWI in multiparametric breast MRI (2024) Brock L, Liebert A, Schreiter H, Ehring C, Eberle J, Laun FB, Uder M, et al. Conference contribution, Abstract of a poster Lungenbildgebung in der Niederfeld-Magnetresonanztomographie (2024) Hinsen M, Heiß R, Nagel AM, Levy S, Uder M, Bickelhaupt S, May M Journal article, Review article Impact of velocity- and acceleration-compensated encodings on signal dropout and black-blood state in diffusion-weighted magnetic resonance liver imaging at clinical TEs (2023) Führes T, Saake M, Szczepankiewicz F, Bickelhaupt S, Uder M, Laun FB Journal article Detection and prediction of background parenchymal enhancement on breast MRI using deep learning (2023) Das B, Kapsner L, Ohlmeyer S, Laun FB, Maier A, Uder M, Wenkel E, et al. Conference contribution