Author

C. Hémon

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Preprint Sep 2026

When Misalignment Becomes Supervision: Structured Label Noise in Supervised Synthetic CT Generation

Supervised synthetic CT (sCT) generation is commonly trained and evaluated as voxel-wise regression against registered reference CT images. In practice, MRI-CT and CBCT-CT pairs are aligned through registration procedures that leave residual misalignments. These residuals are not independent intensity noise but spatial...

Valentin Boussot, C. Hémon, C. Lafond et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Extending TotalSegmentator: Predicting Patient and Acquisition Characteristics from CT and MR Images

One 3D multitask model per modality can rapidly recover patient and acquisition characteristics from heterogeneous CT and MR examinations and outperformed a segmentation-derived XGBoost baseline for all four core targets in both modalities.

J. Wasserthal, Joshy Cyriac, Michael Bach et al. · 0 citations