most citedXGeM: A Multi-Prompt Foundation Model for Multimodal Medical Data Generation

5 citations · 10 across the 4 of their papers we have counts for

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cs.CV2025★ 1 cited

Any-to-Any Vision-Language Model for Multimodal X-ray Imaging and Radiological Report Generation

Daniele Molino, Francesco di Feola, Linlin Shen +2

Generative models have revolutionized Artificial Intelligence (AI), particularly in multimodal applications. However, adapting these models to the medical domain poses unique chall…