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Author profile
Hojin Kim, PhD
Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine
Characterization of Detector-Specific Correction Factors for Optically Stimulated Luminescence Dosimeter-Based Surface Dosimetry
While optically stimulated luminescence dosimeters (OSLD) offer advantages in reusability and efficiency, they overestimate the surface dose due to thick effective point of measurement. The aim of this study is to investigate the detector-specific correction...
Poster Program · Therapy Physics
Hybrid Framework Combining Pre-Trained Supervised Image Priors with Neural Representation for Extremely Sparse-View CT Reconstruction (HYPER)
Extremely sparse-view CT benefits for reducing radiation dose while causing streak artifact when using the traditional filtered-back projection (FBP). We propose a new learning-based reconstruction method, named HYPER (HYbrid framework combining pre-trained s...
Poster Program · Diagnostic and Interventional Radiology Physics
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