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AtlasCT: Report-Conditioned 3D CT Synthesis with a Learnable Population Atlas Prior
Medical image synthesis can reduce data scarcity, but volumetric generation must preserve anatomy across planes. In chest computed tomography (CT), report conditioning specifies pathology but gives little spatial guidance, while mask-guided methods require a case-specific segmentation at inference. AtlasCT removes that...
MAC-DiffCT: Multi-Scale Adaptive Conditional Diffusion Model for CT Reconstruction from Biplanar X-rays.
MAC-DiffCT offers a low-radiation alternative to conventional CT, especially for vulnerable patients requiring repeated imaging and intraoperative scenarios where CT use is constrained, and consistently outperforms existing methods.