Julia Kaiser

This study generates a Klhl14-Cre mouse line to selectively identify and investigate a specific subpopulation of corticospinal neurons during development and into maturity.

StARQ automates high-granularity segmentation and quantification of brainstem nuclei using deep learning, enhancing reliable computational analysis.

This paper develops a deep learning-based method for analyzing rodent stroke recovery using 3D gait tracking and benchmarking against conventional tests.

The paper identifies molecular markers distinguishing cortico-brainstem and corticospinal projection neurons during development using single-cell RNA sequencing.

This study investigates the developmental timing and regional specificity of long-distance axon growth in the spinal cord using a novel lesion paradigm.

The paper identifies ERK1/2 and other pathways as novel components of Nogo-A signaling that mediate long-term neurite outgrowth inhibition.