SliceMap: a binary classification-driven 2D pipeline for detecting discriminative candidate regions in brain MRI
Zhaohui S. Qin
Identifying spatially localized neuroanatomical signals from brain magnetic resonance imaging (MRI) is central to many clinical and scientific questions, including medical diagnosis and the investigation of disease mechanisms. However, reliably detecting such subtle and spatially localized signals from high-dimensional MRI data remains challenging. In our study, we propose a performance-guided two-dimensional (2D) slice-based pipeline for identifying candidate spatial regions in brain MRI. The p