Highlights•Deep-learning-based automatic segmentation of brain organs-at-risk was fast and accurate.•Automatic contouring reduced inter-observer variability.•Dice similarity coefficients correlated with size, with values > 0.8 for larger structures.•Geometric variations had minimum impact on dose distribution.