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INCEPT outperforms existing EEG models by prioritizing representation stability over signal reconstruction, achieving top rankings in 26 of 30 evaluation metrics across diverse tasks.
By injecting clinically-relevant information like target contours and dose distributions, this registration framework achieves superior accuracy and robustness in longitudinal CT scans for proton therapy, outperforming generic deep learning methods.
