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Author profile
Jaehyun Seok
Department of Integrative Medicine
Multimodal Cross-Attention-Based Predictive Model with Self-Attention Refinement for Lymphedema Risk Following Breast 3D-CRT Using 3D CT and Voxel-Wise Dose Distributions
To mitigate the loss of spatial information inherent to DVH-based and coarse categorical descriptors used for breast cancer–related lymphedema prediction, we present a multi-modal cross-attention predictive model with self-attention refinement using patient-s...
Poster Program · Therapy Physics
Multi-Task Learning for Predicting VMAT Plan Deliverability and 3D Delivered Dose from Visualized Plan Parameters and 3D Plan Dose
Patient-specific quality assurance (PSQA) for volumetric modulated arc therapy (VMAT) is essential for verifying plan deliverability, while it remains resource-intensive and inefficient. We developed a multi-task deep learning framework that jointly predicts...
Poster Program · Therapy Physics