Table 2.

Overview of publications utilizing GANs to assist disease diagnosis. Publications are clustered by categories and ordered by year in ascending order.

Publication	Method	Dataset	Modality	Highlights
Disease Classification
(Yan et al., 2018)	Conditional GAN	ADNI	MRI, PET	Amyloid PET generation and MCI prediction
(Liu et al., 2020)	GAN	ADNI	MRI, PET	MCI conversion prediction
(Mirakhorli et al., 2020)	GNN & GAN	ADNI	rs-fMRI	AD-related patterns extraction
(Pan et al., 2021b)	Feature-consistent GAN	ADNI	MRI, PET	Joint synthesis and diagnosis
(Lin et al., 2021)	Reversible GAN	ADNI	MRI, PET	Bidirectional mapping between modalities
(Gao et al., 2021)	Pyramid and Attention GAN	ADNI	MRI, PET	Missing modality imputation
(Yu et al., 2021)	Higher-order pooling GAN	ADNI	MRI	Semi-supervised learning
(Pan et al., 2021a)	Decoupling GAN	ADNI	DTI, rs-fMRI	Abnormal neural circuits detection
(Zuo et al., 2021)	Hypergraph perceptual network	ADNI	MRI, DTI, rs-fMRI	Abnormal brain connections analysis
Tumor Detection
(Han et al., 2019)	PGGAN & MUNIT	BRATS	MRI	Tumor image augmentation
(Huang et al., 2019)	Context-aware GAN	BRATS	T1, T2, FLAIR	Glioma severity grading
(Park et al., 2021)	StyleGAN	Private	T1, T2, FLAIR	IDH-mutant glioblastomas generation
Anomaly Detection
(Wei et al., 2019)	Sketcher-Refiner GAN	Private	PET, DTI	Myelin content in Multiple Sclerosis