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In conventional MRI, bone and air appear as signal voids due to signal decay, making them difficult to distinguish. This remains a major limitation for synthetic CT (sCT) generation in MRI-based radiotherapy. Although AI-based ap...

DeepTuning is a deep learning–based dose prediction framework that generates multiple dose distributions with different trade-offs, analogous to multi-criteria optimization. Leveraging historical cases with varying trade-offs, De...

Palliative radiotherapy patients may present emergently and often have recent diagnostic CT (dCT) imaging suitable for treatment planning. Requiring an additional CT simulation can delay treatment and adds burden to patients for...