Multimodal classification of Radiation-Induced Contrast Enhancements and tumor recurrence using deep learning

ArXi:2603.11827v1 Announce Type: new The differentiation between tumor recurrence and radiation-induced contrast enhancements in post-treatment glioblastoma patients remains a major clinical challenge. Existing approaches rely on clinically sparsely available diffusion MRI or do not consider radiation maps, which are gaining increasing interest in the tumor board for this differentiation. We