Robust Spectral Denoising for Water-Fat Separation in Magnetic Resonance Imaging. - Felix Lugauer; Dominik Nickel; Jens Wetzl; Stephan A. R. Kannengiesser; Andreas K. Maier; Joachim Hornegger (MICCAI (2), 2015)

Identification of Water and Fat Images in Dixon MRI Using Aggregated Patch-Based Convolutional Neural Networks. - Liang Zhao 018; Yiqiang Zhan; Dominik Nickel; Matthias Fenchel; Berthold Kiefer; Xiang Sean Zhou (Patch-MI@MICCAI, 2016)

State-of-the-Art Machine Learning MRI Reconstruction in 2020: Results of the Second fastMRI Challenge. - Matthew J. Muckley; Bruno Riemenschneider; Alireza Radmanesh; Sunwoo Kim; Geunu Jeong; Jingyu Ko; Yohan Jun; Hyungseob Shin; Dosik Hwang; Mahmoud Mostapha; Simon Arberet; Dominik Nickel; et al. (CoRR, 2020)

Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction. - Matthew J. Muckley; Bruno Riemenschneider; Alireza Radmanesh; Sunwoo Kim; Geunu Jeong; Jingyu Ko; Yohan Jun; Hyungseob Shin; Dosik Hwang; Mahmoud Mostapha; Simon Arberet; Dominik Nickel; et al. (IEEE Trans. Medical Imaging, 2021)

Robust Multi-Contrast Mri Denoising Using Trainable Bilateral Filters Without Noise-Free Targets. - Laura Pfaff; Fabian Wagner; Julian Hossbach; Elisabeth Preuhs; Noah Maul; Mareike Thies; Felix Denzinger; Dominik Nickel; Tobias Würfl; Andreas Maier 001 (ISBI, 2023)

Abstract: Robust Multi-contrast MRI Denoising using Trainable Bilateral Filters without Noise-free Targets. - Laura Pfaff; Fabian Wagner; Julian Hossbach; Elisabeth Preuhs; Mareike Thies; Felix Denzinger; Dominik Nickel; Tobias Würfl; Andreas K. Maier (Bildverarbeitung für die Medizin, 2024)