LLM-driven Multimodal Target Volume Contouring in Radiation Oncology. - Yujin Oh; Sangjoon Park; Hwa Kyung Byun; Jin Sung Kim; Jong Chul Ye (CoRR, 2023)

RO-LLaMA: Generalist LLM for Radiation Oncology via Noise Augmentation and Consistency Regularization. - Kwanyoung Kim; Yujin Oh; Sangjoon Park; Hwa Kyung Byun; Jin Sung Kim; Yong Bae Kim; Jong Chul Ye (CoRR, 2023)

Objective and Interpretable Breast Cosmesis Evaluation with Attention Guided Denoising Diffusion Anomaly Detection Model. - Sangjoon Park; Yong Bae Kim; Jee Suk Chang; Seo Hee Choi; Hyungjin Chung; Ik-Jae Lee; Hwa Kyung Byun (CoRR, 2024)

RT-Surv: Improving Mortality Prediction After Radiotherapy with Large Language Model Structuring of Large-Scale Unstructured Electronic Health Records. - Sangjoon Park; Chan Woo Wee; Seo Hee Choi; Kyung Hwan Kim; Jee Suk Chang; Hong In Yoon; Ik-Jae Lee; Yong Bae Kim; Jaeho Cho; Ki Chang Keum; Chang Geol Lee; Hwa Kyung Byun; et al. (CoRR, 2024)

Mixture of Multicenter Experts in Multimodal Generative AI for Advanced Radiotherapy Target Delineation. - Yujin Oh; Sangjoon Park; Xiang Li 001; Wang Yi; Jonathan Paly; Jason Efstathiou; Annie Chan; Jun Won Kim; Hwa Kyung Byun; Ik Jae Lee; Jaeho Cho; Chan Woo Wee; et al. (CoRR, 2024)

Label-independent framework for objective evaluation of cosmetic outcome in breast cancer. - Sangjoon Park; Yong Bae Kim; Jee Suk Chang; Seo Hee Choi; Hyungjin Chung; Ik-Jae Lee; Hwa Kyung Byun (Artif. Intell. Medicine, 2025)

End-to-end breast cancer radiotherapy planning via LMMs with consistency embedding. - Kwanyoung Kim; Yujin Oh; Sangjoon Park; Hwa Kyung Byun; Joongyo Lee; Jin Sung Kim; Yong Bae Kim; Jong Chul Ye (Medical Image Anal., 2025)