“…Computational modeling and simulations can be used to generate large synthetic datasets. Incorporating ML with computational modeling and simulations has a potential to provide better understanding of biological and physical phenomena, solve illposed inverse problems, optimize complex design problems in a variety of fields (Burrascano et al, 1999;Kim et al, 2007;Tolk, 2015;Hughes et al, 2017;Cohen et al, 2018;Ianni et al, 2018;Pérez et al, 2018;Deist et al, 2019;Kiarashinejad et al, 2019;Meliadò et al, 2019;Tahersima et al, 2019;Vinding et al, 2019). In this work, we have generated a dataset by modeling and simulating MRI gradient-field induced voltage levels on implanted DBS systems, using realistic MRI gradient coil models, six adult anatomical human models (Gosselin et al, 2014) and clinically relevant DBS implant trajectories.…”