(A) The Dorr space, (E) the SIGMA space and (I) the MNI space, corresponding to the mouse, rat and human atlases, respectively. (B, F, J) Integration of BEN into the registration workflow: (i) Three representative samples from a mouse (n=157), a rat (n=88), and human (n=144) in the native space. (ii) The BEN-segmented brain MRI volumes in the native space as registered into the Dorr/SIGMA/MNI space using the Advanced Normalization Tools (ANTs) toolbox, for comparison with the registration of AFNI-segmented/original MRI volumes with respect to the corresponding atlas. (iii) The warped volumes in the Dorr/SIGMA/MNI spaces. (iv) Error maps showing the fixed atlas in green and the moving warped volumes in magenta. The common areas where the two volumes are similar in intensity are shown in gray. (v) The brain structures in the warped volumes shown in the atlas spaces. In our experiment, BEN significantly improves the alignment between the propagated annotations and the atlas, as confirmed by the improved Dice scores in the (C, G, K) thalamic and (D, H, L) hippocampal regions (box plots: purple for BEN, green for w/o BEN; volumes: n=157 for the mouse, n=88 for the rat, n=144 for the human; statistics: paired t-test, n.s.: no significance, *p<0.05, **p<0.01, ***p<0.001).