OvESyn is the first text-conditioned 3D CT synthesis framework for abdomino-pelvic oncologic imaging, constructing evidence-based text from metadata to adapt a latent diffusion model across the domain gap from chest CT pretraining.
Text-to-ct gen- eration via 3d latent diffusion model with con- trastive vision-language pretraining.arXiv preprint arXiv:2506.00633, 2025
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MedSyn2 generates controllable high-resolution 3D CT volumes using optional text prompts and partial semantic segmentation masks via a modified diffusion transformer with gated attention.
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Evidence-Based Text-Conditioned 3D CT Synthesis for Ovarian Cancer
OvESyn is the first text-conditioned 3D CT synthesis framework for abdomino-pelvic oncologic imaging, constructing evidence-based text from metadata to adapt a latent diffusion model across the domain gap from chest CT pretraining.
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MedSyn2: Flexible Control of 3D CT Generation via Text and Semantically-Defined Segmentation Prompts
MedSyn2 generates controllable high-resolution 3D CT volumes using optional text prompts and partial semantic segmentation masks via a modified diffusion transformer with gated attention.