Fast and Robust Design of Time-Optimal k-Space Trajectories in MRI. - Mathias Davids; Michaela Ruttorf; Frank Zöllner 001; Lothar R. Schad (IEEE Trans. Medical Imaging, 2015)

Minimizing the adverse effects of electric fields in magnetic resonance imaging using optimized gradient encoding and peripheral nerve models. - Mathias Davids (2018)

High Resolution Computational Modeling of Transcranial Stimulation using the MIDA Head Model. - William A. Wartrnan; Edward H. Burnham; Sergey N. Makarov; Mathias Davids; Mohammad Daneshzand; Aapo Nummenmaa (NER, 2021)

Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome. - Susie Yi Huang; Thomas Witzel; Boris Keil; Alina Scholz; Mathias Davids; Peter Dietz; Elmar Rummert; Rebecca Ramb; John E. Kirsch; Anastasia Yendiki; Qiuyun Fan; Qiyuan Tian; et al. (NeuroImage, 2021)

Optimization of MRI Gradient Coils With Explicit Peripheral Nerve Stimulation Constraints. - Mathias Davids; Bastien Guérin; Valerie Klein; Lawrence L. Wald (IEEE Trans. Medical Imaging, 2021)

Mapping the human connectome using diffusion MRI at 300 mT/m gradient strength: Methodological advances and scientific impact. - Qiuyun Fan; Cornelius Eichner; Maryam Afzali; Lars Mueller 008; Chantal M. W. Tax; Mathias Davids; Mirsad Mahmutovic; Boris Keil; Berkin Bilgic; Kawin Setsompop; Hong-Hsi Lee; Qiyuan Tian; et al. (NeuroImage, 2022)