most citedUsing StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images

38 citations · 38 across the 1 of their papers we have counts for

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eess.IV2021★ 38 cited

Using StyleGAN for Visual Interpretability of Deep Learning Models on Medical Images

Kathryn Schutte, Olivier Moindrot, Paul Hérent +2

As AI-based medical devices are becoming more common in imaging fields like radiology and histology, interpretability of the underlying predictive models is crucial to expand their…