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A compact representation of PSF using sinusoidal implicit representation networks (SIRENs) that enables limitless sampling while preserving dosimetric accuracy is introduced and evaluates.
Modeling inter-radiomic feature relationships using the OmicsMap representation substantially improves CT-based prediction of DMFS and characterization of tumor heterogeneity in HN cancer, supporting precision risk stratification in clinical oncology.
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