Terence T. Sio

According to our database, Terence T. Sio authored at least 10 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2026

Lightweight Retrieval-Augmented Generation and Large Language Model-Based Modeling for Scalable Patient-Trial Matching.

Xiaodi Li, Yang Xiao, MunHwan Lee, Konstantinos Leventakos, Young J. Juhn, David Jones, Terence T. Sio, Wei Liu, Maria Vassilaki, Nansu Zong

CoRR, April, 2026

A Multimodal Clinically Informed Coarse-to-Fine Framework for Longitudinal CT Registration in Proton Therapy.

Caiwen Jiang, Yuzhen Ding, Mi Jia, Samir H. Patel, Terence T. Sio, Jonathan B. Ashman, Lisa A. McGee, Jean-Claude M. Rwigema, William G. Rule, Sameer R. Keole, Sujay A. Vora, William W. Wong, Nathan Y. Yu, Michele Y. Halyard, Steven E. Schild, Dinggang Shen, Wei Liu

CoRR, April, 2026

2025

Enhancing Lung Cancer Treatment Outcome Prediction through Semantic Feature Engineering Using Large Language Models.

MunHwan Lee, Shaika Chowdhury, Xiaodi Li, Sivaraman Rajaganapathy, Eric W. Klee, Ping Yang, Terence T. Sio, Liewei Wang, James R. Cerhan, Nansu Zong

CoRR, December, 2025

An Automated Retrieval-Augmented Generation LLaMA-4 109B-based System for Evaluating Radiotherapy Treatment Plans.

Junjie Cui, Peilong Wang, Jason Holmes, Leshan Sun, Michael L. Hinni, Barbara A. Pockaj, Sujay A. Vora, Terence T. Sio, William W. Wong, Nathan Y. Yu, Steven E. Schild, Joshua R. Niska, Sameer R. Keole, Jean-Claude M. Rwigema, Samir H. Patel, Lisa A. McGee, Carlos A. Vargas, Wei Liu

CoRR, September, 2025

LLM-Match: An Open-Sourced Patient Matching Model Based on Large Language Models and Retrieval-Augmented Generation.

Xiaodi Li, Shaika Chowdhury, Chung-Il Wi, Maria Vassilaki, Xiaoke Liu, Terence T. Sio, Owen Garrick, Young J. Juhn, James R. Cerhan, Cui Tao, Nansu Zong

CoRR, March, 2025

Fine-Tuning Open-Source Large Language Models to Improve Their Performance on Radiation Oncology Tasks: A Feasibility Study to Investigate Their Potential Clinical Applications in Radiation Oncology.

Peilong Wang, Zhengliang Liu, Yiwei Li, Jason Holmes, Peng Shu, Lian Zhang, Xiang Li, Quanzheng Li, Brady S. Laughlin, Diego Santos Toesca, Sujay A. Vora, Samir H. Patel, Terence T. Sio, Tianming Liu, Wei Liu

CoRR, January, 2025

2023

Noisy probing dose facilitated dose prediction for pencil beam scanning proton therapy: physics enhances generalizability.

Lian Zhang, Jason M. Holmes, Zhengliang Liu, Hongying Feng, Terence T. Sio, Carlos E. Vargas, Sameer R. Keole, Kristin Stützer, Sheng Li, Tianming Liu, Jiajian Shen, William W. Wong, Sujay A. Vora, Wei Liu

CoRR, 2023

RadOnc-GPT: A Large Language Model for Radiation Oncology.

Zhengliang Liu, Peilong Wang, Yiwei Li, Jason Holmes, Peng Shu, Lian Zhang, Chenbin Liu, Ninghao Liu, Dajiang Zhu, Xiang Li, Quanzheng Li, Samir H. Patel, Terence T. Sio, Tianming Liu, Wei Liu

CoRR, 2023

Deep-Learning-based Fast and Accurate 3D CT Deformable Image Registration in Lung Cancer.

Yuzhen Ding, Hongying Feng, Yunze Yang, Jason Holmes, Zhengliang Liu, David Liu, William W. Wong, Nathan Y. Yu, Terence T. Sio, Steven E. Schild, Baoxin Li, Wei Liu

CoRR, 2023

Evaluating Large Language Models on a Highly-specialized Topic, Radiation Oncology Physics.

Jason Holmes, Zhengliang Liu, Lian Zhang, Yuzhen Ding, Terence T. Sio, Lisa A. McGee, Jonathan B. Ashman, Xiang Li, Tianming Liu, Jiajian Shen, Wei Liu

CoRR, 2023