. Author manuscript; available in PMC: 2020 Dec 1.

Published in final edited form as: Magn Reson Imaging. 2019 Jul 15;64:190–199. doi: 10.1016/j.mri.2019.07.003

Table 12:

Top 5 volumes selected from feature importance analysis for the Siamese network using integrated gradients; a higher value for the average integrated gradient over 100 trials of feature importance corresponds to a more important feature for prediction. The top 5 features are fimbria, lateral ventricle Inferior (LV Inferior), subcallosal anterior cingulate white matter (Subgenual WM ACC), lateral ventricle occipital (LV occipital, and superior parietal gyrus (SPG))

Volume	Average Integrated Gradient	Std. Deviation

Fimbria	0.0380	0.0113
LV Inferior	0.0202	0.0061
Subgenual WM ACC	0.0191	0.0083
LV Occipital	0.0165	0.0055
SPG	0.0127	0.0032