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eess.IV2025
Deep Learning-Based Cross-Anatomy CT Synthesis Using Adapted nnResU-Net with Anatomical Feature Prioritized Loss
Javier Sequeiro González, Arthur Longuefosse, Miguel Díaz Benito +2
We present a patch-based 3D nnUNet adaptation for MR to CT and CBCT to CT image translation using the multicenter SynthRAD2025 dataset, covering head and neck (HN), thorax (TH), an…
eess.IV2024★ 3 cited
Anatomical feature-prioritized loss for enhanced MR to CT translation
Arthur Longuefosse, Baudouin Denis de Senneville, Gael Dournes +3
In medical image synthesis, the precision of localized structural details is crucial, particularly when addressing specific clinical requirements such as the identification and mea…