most citedHAGAN: Hybrid Augmented Generative Adversarial Network for Medical Image Synthesis

6 citations · 6 across the 1 of their papers we have counts for

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eess.IV2024★ 6 cited

HAGAN: Hybrid Augmented Generative Adversarial Network for Medical Image Synthesis

Zhihan Ju, Wanting Zhou, Longteng Kong +4

Medical Image Synthesis (MIS) plays an important role in the intelligent medical field, which greatly saves the economic and time costs of medical diagnosis. However, due to the co…