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2020 – today
- 2023
[i4]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:
Evaluating Large Language Models on a Highly-specialized Topic, Radiation Oncology Physics. CoRR abs/2304.01938 (2023)- [i3]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:
Deep-Learning-based Fast and Accurate 3D CT Deformable Image Registration in Lung Cancer. CoRR abs/2304.11135 (2023) - [i2]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:
RadOnc-GPT: A Large Language Model for Radiation Oncology. CoRR abs/2309.10160 (2023) - [i1]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:
Noisy probing dose facilitated dose prediction for pencil beam scanning proton therapy: physics enhances generalizability. CoRR abs/2312.00975 (2023)
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