Byongsu Choi, PhD · AAPM 2026 Explorer

AuthorsPoster

Development of an Ultra Fast and Setup Robust Deep Learning Rbe Dose Engine for Carbon Ion Therapy Using a Conditional Mednext

Accurate voxel-wise RBE modeling for carbon ion radiation therapy (CIRT), such as the Mayo Clinic Florida Microdosimetric Kinetic Model (MCF-MKM), is computationally prohibitive for time-constrained clinical workflows. Monte Carlo (MC) calculations can requir...

Poster Program · Therapy Physics

Presenting AuthorPoster

Development of an Ultra-Fast and Setup-Robust Deep-Learning Rbe Dose Engine for Carbon Ion Therapy Using a Conditional Mednext Architecture

Accurate voxel-wise RBE modeling for carbon ion radiation therapy (CIRT), such as the Mayo Clinic Florida Microdosimetric Kinetic Model (MCF-MKM), is computationally prohibitive for time-constrained clinical workflows. Monte Carlo (MC) calculations can requir...

Poster Program · Therapy Physics

AuthorsPoster

Real-Time Diffusion-Quality Synthetic CT Generation Via Reliability-Aware Vision Transformers for Online Adaptive Radiotherapy

While Denoising Diffusion Probabilistic Models (DDPMs) have set new benchmarks for synthetic CT (sCT) image quality, their prohibitive inference times hinder integration into online adaptive radiation therapy (ART) workflows. This study introduces HQ-PatchNet...

Poster Program · Therapy Physics

Presenting AuthorPoster

Toxicity Prediction In Prostate Radiotherapy Using Multimodal Features with 3D Mednext and Large Language Models

Accurate prediction of radiotherapy toxicity requires integrating heterogeneous data, including 3D dose distributions, patient anatomy, and unstructured clinical text. We developed a multimodal pipeline that couples deep learning–based dose prediction (3D Med...

Poster Program · Therapy Physics