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Author

Renato Cuocolo

2 papers indexed here

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Cross Modality Image Translation In Medical Imaging Using Generative Frameworks

This work presents a reproducible benchmark for 3D I2I translation in oncological imaging that compares seven generative models: three Generative Adversarial Networks (Pix2Pix, CycleGAN, and SRGAN) and four latent models (Latent Diffusion Model, Latent Diffusion Model+ControlNet, Brownian Bridge, and Flow Matching).

G. Romoli, A. Capoccia, Filippo Ruffini et al. · 1 citation
#explainable ai Open access Sep 2026

Current status and future directions of AI in prostate cancer detection on MRI: a special report from the ESUR prostate MRI working group authors.

The gap between AI's research promise and clinical readiness is highlighted, which underscores the need for localvalidation, post-market surveillance, and adequate user training as AI tools become incorporated into diagnostic prostate MRI workflows.

Renato Cuocolo, A. Ponsiglione, G. Agrotis et al. · 0 citations

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