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Radiology report generation, as a key step in medical image analysis, is critical to the quantitative analysis of clinically informed decision-making levels.
Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin · 2004
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Augmenting reinforcement learning with human feedback
W Bradley Knox and Peter Stone · 2011
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Understanding and confronting our mistakes: The epidemiology of error in radiology and strategies for error reduction
Michael A. Bruno, Eric A. Walker, and Hani H. Abujudeh · 2015
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Natural language processing in radiology: a systematic review
Ewoud Pons, Loes MM Braun, MG Myriam Hunink, and Jan A Kors · 2016
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Show and tell: Lessons learned from the 2015 mscoco image captioning challenge
Oriol Vinyals, Alexander Toshev, Samy Bengio, and Dumitru Erhan · 2016
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On the automatic generation of medical imaging reports
Baoyu Jing, Pengtao Xie, and Eric Xing · 2017
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Current applications and future impact of machine learning in radiology
Garry Choy, Omid Khalilzadeh, Mark Michalski, Synho Do, Anthony E Samir, Oleg S Pianykh, J Raymond Geis, Pari V Pandharipande, James A Brink, and Keith J Dreyer · 2018
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Multimodal recurrent model with attention for automated radiology report generation
Yuan Xue, Tao Xu, L Rodney Long, Zhiyun Xue, Sameer Antani, George R Thoma, and Xiaolei Huang · 2018
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Medical image synthesis with deep convolutional adversarial networks
Dong Nie, Roger Trullo, Jun Lian, Li Wang, Caroline Petitjean, Su Ruan, Qian Wang, and Dinggang Shen · 2018
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Automatic radiology report generation based on multi-view image fusion and medical concept enrichment
Jianbo Yuan, Haofu Liao, Rui Luo, and Jiebo Luo · 2019
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Clinically accurate chest x-ray report generation
Guanxiong Liu, Tzu-Ming Harry Hsu, Matthew McDermott, Willie Boag, Wei-Hung Weng, Peter Szolovits, and Marzyeh Ghassemi · 2019
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Automatic radiology report generation based on multi-view image fusion and medical concept enrichment
Jianbo Yuan, Haofu Liao, Rui Luo, and Jiebo Luo · 2019
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Root mean square layer normalization
Biao Zhang and Rico Sennrich · 2019
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When radiology report generation meets knowledge graph
Yixiao Zhang, Xiaosong Wang, Ziyue Xu, Qihang Yu, Alan Yuille, and Daguang Xu · 2020
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Co-rads: a categorical ct assessment scheme for patients suspected of having covid-19—definition and evaluation
Mathias Prokop, Wouter Van Everdingen, Tjalco van Rees Vellinga, Henriëtte Quarles van Ufford, Lauran Stöger, Ludo Beenen, Bram Geurts, Hester Gietema, Jasenko Krdzalic, Cornelia Schaefer-Prokop, et al · 2020
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Generating radiology reports via memory-driven transformer
Zhihong Chen, Yan Song, Tsung-Hui Chang, and Xiang Wan · 2020
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Deep learning in generating radiology reports: A survey
Maram Mahmoud A Monshi, Josiah Poon, and Vera Chung · 2020
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Review of natural language processing in radiology
Jack W Luo and Jaron JR Chong · 2020
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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Practical guide to natural language processing for radiology
Ali Mozayan, Alexander R Fabbri, Michelle Maneevese, Irena Tocino, and Sophie Chheang · 2021
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A self-boosting framework for automated radiographic report generation
Zhanyu Wang, Luping Zhou, Lei Wang, and Xiu Li · 2021
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Exploring and distilling posterior and prior knowledge for radiology report generation
Fenglin Liu, Xian Wu, Shen Ge, Wei Fan, and Yuexian Zou · 2021
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Progressive transformer-based generation of radiology reports
Farhad Nooralahzadeh, Nicolas Perez Gonzalez, Thomas Frauenfelder, Koji Fujimoto, and Michael Krauthammer · 2021
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Weakly supervised contrastive learning for chest x-ray report generation
An Yan, Zexue He, Xing Lu, Jiang Du, Eric Chang, Amilcare Gentili, Julian McAuley, and Chun-Nan Hsu · 2021
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Cross-modal memory networks for radiology report generation
Zhihong Chen, Yaling Shen, Yan Song, and Xiang Wan · 2022
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Cross-modal prototype driven network for radiology report generation
Application of omics-based biomarkers in substance use disorders
Longtao Yang, Lijie Zhang, Huiting Zhang, and Jun Liu · 2023
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Deep learning-based rigid motion correction for magnetic resonance imaging: A survey
Yuchou Chang, Zhiqiang Li, Gulfam Saju, Hui Mao, and Tianming Liu · 2023
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Engineering exosomes as nanocarriers traverse the blood-brain barrier for theranostics against glioblastoma: Opportunities and challenges, 2023
Chang Li, Mohammad Javad Afshari, and Jun Liu · 2023
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The impact of chatgpt and llms on medical imaging stakeholders: Perspectives and use cases
Jiancheng Yang, Hongwei Bran Li, and Donglai Wei · 2023
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When brain-inspired ai meets agi
Lin Zhao, Lu Zhang, Zihao Wu, Yuzhong Chen, Haixing Dai, Xiaowei Yu, Zhengliang Liu, Tuo Zhang, Xintao Hu, Xi Jiang, et al · 2023
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Jun Wang, Abhir Bhalerao, and Yulan He · 2022
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Competence-based multimodal curriculum learning for medical report generation
Fenglin Liu, Shen Ge, and Xian Wu · 2022
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Palm: Scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al · 2022
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Bloom: A 176b-parameter open-access multilingual language model
Teven Le Scao, Angela Fan, Christopher Akiki, Ellie Pavlick, Suzana Ilić, Daniel Hesslow, Roman Castagné, Alexandra Sasha Luccioni, François Yvon, Matthias Gallé, et al · 2022
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Opt: Open pre-trained transformer language models
Susan Zhang, Stephen Roller, Naman Goyal, Mikel Artetxe, Moya Chen, Shuohui Chen, Christopher Dewan, Mona Diab, Xian Li, Xi Victoria Lin, et al · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022
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Glm-130b: An open bilingual pre-trained model
Aohan Zeng, Xiao Liu, Zhengxiao Du, Zihan Wang, Hanyu Lai, Ming Ding, Zhuoyi Yang, Yifan Xu, Wendi Zheng, Xiao Xia, et al · 2022
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Glm: General language model pretraining with autoregressive blank infilling
Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, and Jie Tang · 2022
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Meta-radiology: Sharing promising ideas, persisting innovative researches, and exploring new frontiers, 2023
Zhihong Li, Tianming Liu, and Jun Liu · 2023
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Radiology-gpt: A large language model for radiology
Zhengliang Liu, Aoxiao Zhong, Yiwei Li, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Peng Shu, Cheng Chen, Sekeun Kim, et al · 2023
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Radiology-llama2: Best-in-class large language model for radiology
Zhengliang Liu, Yiwei Li, Peng Shu, Aoxiao Zhong, Longtao Yang, Chao Ju, Zihao Wu, Chong Ma, Jie Luo, Cheng Chen, et al · 2023
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Stanford alpaca: An instruction-following llama model
Rohan Taori, Ishaan Gulrajani, Tianyi Zhang, Yann Dubois, Xuechen Li, Carlos Guestrin, Percy Liang, and Tatsunori B. Hashimoto · 2023
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A survey of large language models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, et al · 2023
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Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
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https://github.com/FlagAlpha/Llama2-Chinese
Llama2-Chinese · 2023
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Shaolei Zhang, Qingkai Fang, Zhuocheng Zhang, Zhengrui Ma, Yan Zhou, Langlin Huang, Mengyu Bu, Shangtong Gui, Yunji Chen, Xilin Chen, and Yang Feng · 2023
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https://github.com/baichuan-inc/Baichuan-7B
Baichuan-7B: A large-scale 7B pretraining language model developed by BaiChuan-Inc · 2023
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Tigerbot
Tiger-Research · 2023
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Efficient and effective text encoding for chinese llama and alpaca
Yiming Cui, Ziqing Yang, and Xin Yao · 2023
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https://github.com/CVI-SZU/Linly
Chinese-llama 1 & 2 and chinese-falcon 1 & 2 · 2023
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https://xinghuo.xfyun.cn/
Iflytek spark (v2.0) · 2023
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