Sequence Search: Automated Sequence Design using Neural Architecture Search

arXiv:2604.14788v1 Announce Type: new Abstract: Developing an MR sequence is challenging and remains largely constrained by human intuition. Recently, AI-driven approaches have been proposed; however, most require an initial sequence for parameter optimization or extensive training datasets, limiting their general applicability. In this study, we propose "Sequence Search," an automated sequence design framework based on neural architecture search. The method takes tissue properties, imaging para