Table 5.

Computational complexity and reproducibility of brain development and disease progression analysis-specific GANs publications. Publications are clustered by categories and ordered by year in ascending order.

Publication	Method	GPU Time (hr)	Code	Pre-trained Model
Brain Aging
Xia et al. (2021)	Transformer GAN	N/A	https://github.com/xiat0616/BrainAgeing	N/A
Peng et al. (2021)	Perceptual GAN	N/A	https://github.com/liying-peng/MPGAN	N/A
Alzheimer’s Progression
Bowles et al. (2018)	WGAN	N/A	N/A	N/A
Wegmayr et al. (2019)	Recursive GAN	144	https://github.com/vwegmayr/brain-aging	N/A
Zhao et al. (2020b)	Multi-information GAN	N/A	N/A	N/A
Yang et al. (2021)	Cluster & Info-GAN	N/A	https://github.com/zhijian-yang/SmileGAN	N/A
Ravi et al. (2022)	Conditional GAN	72	https://github.com/daniravi/Brain-MRI-Simulator	N/A
Lesion Evolution
Rachmadi et al. (2020)	Multi-discriminator GAN	N/A	https://github.com/febrianrachmadi/dep-gan-im	https://github.com/febrianrachmadi/dep-gan-im
Wei et al. (2020)	Conditional Attention GAN	N/A	N/A	N/A
Tumor Growth
Elazab et al. (2020)	Stacked Conditional GAN	N/A	N/A	N/A
Kamli et al. (2020)	GAN	N/A	N/A	N/A