Keerthi Ram

ANCHOR provides a detailed human brainstem atlas across three age groups with neurochemical characterization and 3D reconstruction.

The paper introduces a hybrid deep learning architecture combining topological priors with encoder-decoder networks to improve semantic segmentation of neuroanatomical data with high precision and recall.

This paper introduces topological methods to detect and skeletonize neurons and tracer injections, showing improved performance over existing techniques.

This paper presents an unsupervised algorithm for detecting labeled nuclei in whole mouse brain images, achieving performance close to human accuracy.

This paper presents a neurohistological pipeline and grid-based tracer injection strategy for mesoscale connectivity mapping in common marmosets, enabling high-quality brain-wide connectivity matrices.