Deep Electrode Mapper: Localizing EEG Electrodes from 3D Point Clouds Using Deep Learning
Accurate EEG source localization depends on precise electrode coordinates, yet current methods are often manual, costly, and technically demanding. Deep Electrode Mapper attempts to address this by applying deep learning to segment electrodes from 3D head models—derived from MRI or 3D scans—and localize their coordinates using clustering. Although the project remains incomplete, it demonstrates a proof-of-concept pipeline, and progress is documented in the public repository.