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This paper presents RadOnc-GPT, a large language model specialized for radiation oncology through advanced tuning methods.
Adaptive radiation therapy
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Yu An, Jie Shan, Samir H Patel, William Wong, Steven E Schild, Xiaoning Ding, Martin Bues, and Wei Liu · 2017
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Multiple energy extraction reduces beam delivery time for a synchrotron-based proton spot-scanning system
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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Improving language understanding by generative pre-training
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The impact of robustness of deformable image registration on contour propagation and dose accumulation for head and neck adaptive radiotherapy
Lian Zhang, Zhi Wang, Chengyu Shi, Tengfei Long, and X George Xu · 2018
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Language models are unsupervised multitask learners
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Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov · 2019
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Yunze Yang, Carlos E Vargas, Ronik S Bhangoo, William W Wong, Steven E Schild, Thomas B Daniels, Sameer R Keole, Jean-Claude M Rwigema, Jennifer L Glass, Jiajian Shen, et al · 2021
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Virtual particle monte carlo: A new concept to avoid simulating secondary particles in proton therapy dose calculation
Jie Shan, Hongying Feng, Danairis Hernandez Morales, Samir H Patel, William W Wong, Mirek Fatyga, Martin Bues, Steven E Schild, Robert L Foote, and Wei Liu · 2022
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Gpu-accelerated monte carlo-based online adaptive proton therapy: A feasibility study
Hongying Feng, Samir H Patel, William W Wong, James E Younkin, Gregory P Penoncello, Danairis Hernandez Morales, Joshua B Stoker, Daniel G Robertson, Mirek Fatyga, Martin Bues, et al · 2022
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Saed Rezayi, Haixing Dai, Zhengliang Liu, Zihao Wu, Akarsh Hebbar, Andrew H Burns, Lin Zhao, Dajiang Zhu, Quanzheng Li, Wei Liu, et al · 2022
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Ad-autogpt: An autonomous gpt for alzheimer’s disease infodemiology
Haixing Dai, Yiwei Li, Zhengliang Liu, Lin Zhao, Zihao Wu, Suhang Song, Ye Shen, Dajiang Zhu, Xiang Li, Sheng Li, et al · 2023
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A deep learning method for autism spectrum disorder identification based on interactions of hierarchical brain networks
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Saed Rezayi, Zhengliang Liu, Zihao Wu, Chandra Dhakal, Bao Ge, Haixing Dai, Gengchen Mai, Ninghao Liu, Chen Zhen, Tianming Liu, et al · 2023
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Jiaqi Wang, Zhengliang Liu, Lin Zhao, Zihao Wu, Chong Ma, Sigang Yu, Haixing Dai, Qiushi Yang, Yiheng Liu, Songyao Zhang, et al · 2023
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Evaluating large language models for radiology natural language processing
Zhengliang Liu, Tianyang Zhong, Yiwei Li, Yutong Zhang, Yi Pan, Zihao Zhao, Peixin Dong, Chao Cao, Yuxiao Liu, Peng Shu, et al · 2023
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Summary of chatgpt/gpt-4 research and perspective towards the future of large language models
Yiheng Liu, Tianle Han, Siyuan Ma, Jiayue Zhang, Yuanyuan Yang, Jiaming Tian, Hao He, Antong Li, Mengshen He, Zhengliang Liu, et al · 2023
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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, et al · 2023
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Hierarchical semantic tree concept whitening for interpretable image classification
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Segment anything model (sam) for radiation oncology
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Artificial general intelligence for medical imaging
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Differentiate chatgpt-generated and human-written medical texts
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Deid-gpt: Zero-shot medical text de-identification by gpt-4
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A comprehensive survey on pretrained foundation models: A history from bert to chatgpt
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https://crfm.stanford.edu/2023/03/13/alpaca.html
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Comprehensive evaluations of gantry and couch rotation isocentricities for implementing proton stereotactic radiosurgery
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An integrated physical optimization framework for proton stereotactic body radiation therapy flash treatment planning allows dose, dose rate, and linear energy transfer optimization using patient-specific ridge filters
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