. Author manuscript; available in PMC: 2022 Jul 1.

Published in final edited form as: Med Image Anal. 2021 Apr 4;71:102051. doi: 10.1016/j.media.2021.102051

Table 1.

ADNI data set: balanced accuracy (bAcc) of cross-sectional and longitudinal classification with and w/o fine-tuning the encoder. Best result in each column is in bold and the second best is underlined.

	ADNI
Pre-training	CNN	CNN+RNN
Model	frozen/fine-tuned	frozen/fine-tuned

No pretrain	− / 80.6	− / 74.6
AE	58.6 / 81.7	62.1 / 71.3
VAE (Kingma and Welling, 2014)	58.9 / 75.7	62.8 / 71.9
β-VAE (Higgins et al., 2017)	56.1 / 77.2	76.3 / 78.4
SimCLR (Chen et al., 2020)	78.0 / 84.4	80.7 / 84.7
CPC (van den Oord et al., 2018)	65.5 / 78.6	66.7 / 80.4
Ours (LSSL)	72.0 / 84.1	81.8 / 87.0