Skip to main content
. 2023 Jun 13;17:1203104. doi: 10.3389/fnins.2023.1203104

Figure 7.

Figure 7

Model categorization map under different brain image analysis tasks. Coregistration: CAE-GAN (Yang et al., 2020), RegGAN (Kong et al., 2021), cGAN (Sundar et al., 2021), AC-flow (Wang B. et al., 2022), DiffuseMorph (Kim et al., 2022); Enhancement: α-GAN (Kwon et al., 2019), AR-GAN (Luo et al., 2022), Multi-stream GAN (Yurt et al., 2021), Intro VAE (Hirte et al., 2021), MBTI (Rouzrokh et al., 2022); Segmentation: ToStaGAN (Ding et al., 2021), CPGAN (Wang S. et al., 2022), SD-GAN (Wu et al., 2021), DAE (Bangalore Yogananda et al., 2022), MedSegDiff (Wu et al., 2022), PD-DDPM (Guo et al., 2022); Super-resolution: Flow Enhancer (Dong et al., 2022), Dual GANs (Song et al., 2020), FP-GAN (You et al., 2022); Cross-modality: UCAN (Zhou et al., 2021), MouseGAN (Yu et al., 2021c), BMGAN (Hu et al., 2021), D2FE-GAN (Zhan et al., 2022), SynDiff (Özbey et al., 2022), UMM-CSGM (Meng et al., 2022); Classification: CN-StyleGAN (Lee et al., 2022), THS-GAN (Yu et al., 2021a), Smile-GAN (Yang Z. et al., 2021), VAEGAN-QC (Mostapha et al., 2019); Brain network analysis: LG-DADA (Bessadok et al., 2021), AGSR-Net (Isallari and Rekik, 2021), GSDAE (Qiao et al., 2021), GATE (Liu M. et al., 2021), MAGE (Pervaiz et al., 2021); Brain decode: D-VAE (Ren et al., 2021), DMACN (Lu et al., 2021), DGNN (VanRullen and Reddy, 2019), Untrained DNN (Baek et al., 2021), MinD-Vis (Chen et al., 2022).