Mapping of brain macromolecules and their use for spectral processing of 1H-MRSI data with an ultra-short acquisition delay at 7 T. - Michal Povazan; Gilbert Hangel; Bernhard Strasser; Stephan Gruber; Marek Chmelik; Siegfried Trattnig; Wolfgang Bogner (NeuroImage, 2015)

Ultra-high resolution brain metabolite mapping at 7 T by short-TR Hadamard-encoded FID-MRSI. - Gilbert Hangel; Bernhard Strasser; Michal Povazan; Eva Heckova; Lukas Hingerl; Roland Boubela; Stephan Gruber; Siegfried Trattnig; Wolfgang Bogner (NeuroImage, 2018)

Key clinical benefits of neuroimaging at 7 T. - Siegfried Trattnig; Elisabeth Springer; Wolfgang Bogner; Gilbert Hangel; Bernhard Strasser; Barbara Dymerska; Pedro Lima Cardoso; Simon Robinson 002 (NeuroImage, 2018)

High-resolution metabolic mapping of gliomas via patch-based super-resolution magnetic resonance spectroscopic imaging at 7T. - Gilbert Hangel; Saurabh Jain; Elisabeth Springer; Eva Heckova; Bernhard Strasser; Michal Povazan; Stephan Gruber; Georg Widhalm; Barbara Kiesel; Julia Furtner; Matthias Preusser; Thomas Roetzer; et al. (NeuroImage, 2019)

Whole-slice mapping of GABA and GABA+ at 7T via adiabatic MEGA-editing, real-time instability correction, and concentric circle readout. - Philipp Moser; Lukas Hingerl; Bernhard Strasser; Michal Povazan; Gilbert Hangel; Ovidiu C. Andronesi; André J. W. van der Kouwe; Stephan Gruber; Siegfried Trattnig; Wolfgang Bogner (NeuroImage, 2019)

High-Resolution Magnetic Resonance Spectroscopic Imaging using a Multi-Encoder Attention U-Net with Structural and Adversarial Loss. - Siyuan Dong; Gilbert Hangel; Wolfgang Bogner; Siegfried Trattnig; Karl Rössler; Georg Widhalm; Henk M. De Feyter; Robin A. de Graaf; James S. Duncan (EMBC, 2021)

Improved susceptibility weighted imaging at ultra-high field using bipolar multi-echo acquisition and optimized image processing: CLEAR-SWI. - Korbinian Eckstein; Beáta Bachratá; Gilbert Hangel; Georg Widhalm; Christian Enzinger; Markus Barth; Siegfried Trattnig; Simon Robinson 002 (NeuroImage, 2021)

Multi-scale Super-Resolution Magnetic Resonance Spectroscopic Imaging with Adjustable Sharpness. - Siyuan Dong; Gilbert Hangel; Wolfgang Bogner; Georg Widhalm; Karl Rössler; Siegfried Trattnig; Chenyu You; Robin A. de Graaf; John A. Onofrey; James S. Duncan (MICCAI (6), 2022)

Flow-Based Visual Quality Enhancer for Super-Resolution Magnetic Resonance Spectroscopic Imaging. - Siyuan Dong; Gilbert Hangel; Eric Z. Chen; Shanhui Sun; Wolfgang Bogner; Georg Widhalm; Chenyu You; John A. Onofrey; Robin A. de Graaf; James S. Duncan (DGM4MICCAI@MICCAI, 2022)

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)

A navigated, robot-driven laser craniotomy tool for frameless depth electrode implantation. An in-vivo recovery animal study. - Fabian Winter; Patrick Pilz; Anne M. Kramer; Daniel Beer; Patrick Gono; Marta Morawska; Johannes Hainfellner; Sigrid Klotz; Matthias Tomschik; Ekaterina Pataraia; Gilbert Hangel; Christian Dorfer; et al. (Frontiers Robotics AI, 2024)

A Flow-based Truncated Denoising Diffusion Model for super-resolution Magnetic Resonance Spectroscopic Imaging. - Siyuan Dong; Zhuotong Cai; Gilbert Hangel; Wolfgang Bogner; Georg Widhalm; Yaqing Huang; Qinghao Liang; Chenyu You; Chathura Kumaragamage; Robert K. Fulbright; Amit Mahajan; Amin Karbasi; et al. (Medical Image Anal., 2025)

Exploring in vivo human brain metabolism at 10.5 T: Initial insights from MR spectroscopic imaging. - Lukas Hingerl; Bernhard Strasser; Simon Schmidt; Korbinian Eckstein; Guglielmo Genovese; Edward J. Auerbach; Andrea N. Grant; Matt Waks; Andrew Martin Wright; Philipp Lazen; Alireza Sadeghi-Tarakameh; Gilbert Hangel; et al. (NeuroImage, 2025)