Predicting dynamic, motion-related changes in B0 field in the brain at a 7 T MRI using a subject-specific fine-tuned U-net. - Stanislav Motyka; Paul Weiser; Beáta Bachratá; Lukas Hingerl; Bernhard Strasser; Gilbert Hangel; Eva Niess; Dario Goranovic; Fabian Niess; Maxim Zaitsev; Simon Daniel Robinson; Georg Langs; et al. (CoRR, 2023)

Reproducibility of 3D MRSI for imaging human brain glucose metabolism using direct (2H) and indirect (1H) detection of deuterium labeled compounds at 7T and clinical 3T. - Fabian Niess; Bernhard Strasser; Lukas Hingerl; Eva Niess; Stanislav Motyka; Gilbert Hangel; Martin Krssák; Stephan Gruber; Benjamin Spurny-Dworak; Siegfried Trattnig; Thomas Scherer; Rupert Lanzenberger; et al. (NeuroImage, 2023)

WALINET: A water and lipid identification convolutional Neural Network for nuisance signal removal in 1H MR Spectroscopic Imaging. - Paul Weiser; Georg Langs; Stanislav Motyka; Wolfgang Bogner; Sébastien Courvoisier; Malte Hoffmann; Antoine Klauser; Ovidiu C. Andronesi (CoRR, 2024)

Accelerating Water Removal in MRSI Using Domain Knowledge-Based Deep Learning. - Amir Buchali; Roberto Souza 001; Stanislav Motyka; Eva Niess; Bernhard Strasser; Wolfgang Bogner; Amirmohammed Shamaei (ISBI, 2025)

Topographical mapping of metabolic abnormalities in multiple sclerosis using rapid echo-less 3D-MR spectroscopic imaging at 7T. - Eva Niess; Assunta Dal-Bianco; Bernhard Strasser; Fabian Niess; Lukas Hingerl; Beáta Bachratá; Stanislav Motyka; Paulus Rommer; Siegfried Trattnig; Wolfgang Bogner (NeuroImage, 2025)

Deep-ER: Deep Learning ECCENTRIC Reconstruction for fast high-resolution neurometabolic imaging. - Paul Weiser; Georg Langs; Wolfgang Bogner; Stanislav Motyka; Bernhard Strasser; Polina Golland; Nalini M. Singh; Jorg Dietrich; Erik Uhlmann; Tracy Batchelor; Daniel Cahill; Malte Hoffmann; et al. (NeuroImage, 2025)