| Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models Y Liu, T Han, S Ma, J Zhang, Y Yang, J Tian, H He, A Li, M He, Z Liu, Z Wu, ... Meta-Radiology, 100017, 2023 | 952 | 2023 |
| Artificial Intelligence and Machine Learning in Radiology: Opportunities, Challenges, Pitfalls, and Criteria for Success JH Thrall, X Li, Q Li, C Cruz, S Do, K Dreyer, J Brink Journal of the American College of Radiology 15 (3), 504-508, 2018 | 742 | 2018 |
| Federated learning for predicting clinical outcomes in patients with COVID-19 I Dayan, HR Roth, A Zhong, A Harouni, A Gentili, AZ Abidin, A Liu, ... Nature medicine 27 (10), 1735-1743, 2021 | 634 | 2021 |
| Deep Learning-Based Image Segmentation on Multimodal Medical Imaging Z Guo, X Li, H Huang, N Guo, Q Li IEEE Transactions on Radiation and Plasma Medical Sciences 3 (2), 162-169, 2019 | 413 | 2019 |
| AugGPT: Leveraging ChatGPT for Text Data Augmentation H Dai, Z Liu, W Liao, X Huang, Y Cao, Z Wu, L Zhao, S Xu, W Liu, N Liu, ... arXiv preprint arXiv:2302.13007, 2023 | 337* | 2023 |
| Position: TrustLLM: Trustworthiness in Large Language Models Y Huang, L Sun, H Wang, S Wu, Q Zhang, Y Li, C Gao, Y Huang, W Lyu, ... International Conference on Machine Learning, 20166-20270, 2024 | 264* | 2024 |
| Sparse representation of whole-brain fMRI signals for identification of functional networks J Lv, X Jiang, X Li, D Zhu, H Chen, T Zhang, S Zhang, X Hu, J Han, ... Medical image analysis 20 (1), 112-134, 2015 | 213 | 2015 |
| Dynamic functional connectomics signatures for characterization and differentiation of PTSD patients X Li, D Zhu, X Jiang, C Jin, X Zhang, L Guo, J Zhang, X Hu, L Li, T Liu Human brain mapping 35 (4), 1761-1778, 2014 | 170 | 2014 |
| Deid-gpt: Zero-shot medical text de-identification by gpt-4 Z Liu, Y Huang, X Yu, L Zhang, Z Wu, C Cao, H Dai, L Zhao, Y Li, P Shu, ... arXiv preprint arXiv:2303.11032, 2023 | 167 | 2023 |
| Holistic atlases of functional networks and interactions reveal reciprocal organizational architecture of cortical function J Lv, X Jiang, X Li, D Zhu, S Zhang, S Zhao, H Chen, T Zhang, X Hu, ... IEEE Transactions on Biomedical Engineering 62 (4), 1120-1131, 2014 | 164 | 2014 |
| A generalist vision–language foundation model for diverse biomedical tasks K Zhang, R Zhou, E Adhikarla, Z Yan, Y Liu, J Yu, Z Liu, X Chen, ... Nature Medicine, 1-13, 2024 | 154* | 2024 |
| Prompt engineering for healthcare: Methodologies and applications J Wang, E Shi, S Yu, Z Wu, C Ma, H Dai, Q Yang, Y Kang, J Wu, H Hu, ... arXiv preprint arXiv:2304.14670, 2023 | 137 | 2023 |
| Review of large vision models and visual prompt engineering J Wang, Z Liu, L Zhao, Z Wu, C Ma, S Yu, H Dai, Q Yang, Y Liu, S Zhang, ... Meta-Radiology, 100047, 2023 | 136 | 2023 |
| Evaluating large language models on a highly-specialized topic, radiation oncology physics J Holmes, Z Liu, L Zhang, Y Ding, TT Sio, LA McGee, JB Ashman, X Li, ... Frontiers in Oncology 13, 1219326, 2023 | 116 | 2023 |
| Characterizing and differentiating task-based and resting state fMRI signals via two-stage sparse representations S Zhang, X Li, J Lv, X Jiang, L Guo, T Liu Brain imaging and behavior 10, 21-32, 2016 | 109 | 2016 |
| When brain-inspired ai meets agi L Zhao, L Zhang, Z Wu, Y Chen, H Dai, X Yu, Z Liu, T Zhang, X Hu, ... Meta-Radiology, 100005, 2023 | 103 | 2023 |
| Medical image segmentation based on multi-modal convolutional neural network: study on image fusion schemes Z Guo, X Li, H Huang, N Guo, Q Li 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018 …, 2018 | 97 | 2018 |
| Radiology-Llama2: Best-in-Class Large Language Model for Radiology Z Liu, Y Li, P Shu, A Zhong, L Yang, C Ju, Z Wu, C Ma, J Luo, C Chen, ... arXiv preprint arXiv:2309.06419, 2023 | 90 | 2023 |
| An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT C Ma, Z Wu, J Wang, S Xu, Y Wei, Z Liu, F Zeng, X Jiang, L Guo, X Cai, ... IEEE Transactions on Artificial Intelligence, 2024 | 89 | 2024 |
| Differentiating ChatGPT-Generated and Human-Written Medical Texts: Quantitative Study W Liao, Z Liu, H Dai, S Xu, Z Wu, Y Zhang, X Huang, D Zhu, H Cai, Q Li, ... JMIR Medical Education 9 (1), e48904, 2023 | 89 | 2023 |
Tianming LiuDistinguished Research Professor of Computer Science, University of GeorgiaПодтвержден адрес электронной почты в домене cs.uga.edu
Quanzheng LiMassachusetts General Hospital, Harvard Medical SchoolПодтвержден адрес электронной почты в домене mgh.harvard.edu
Zihao WuUniversity of GeorgiaПодтвержден адрес электронной почты в домене uga.edu
Zhengliang LiuUniversity of GeorgiaПодтвержден адрес электронной почты в домене uga.edu
Xi JiangUniversity of Electronic Science & Technology of ChinaПодтвержден адрес электронной почты в домене uestc.edu.cn
Jinglei LvUniversity of SydneyПодтвержден адрес электронной почты в домене sydney.edu.au
Wei Liu, PhD, DABR, FAAPMProfessor, Mayo Clinic; MD Anderson Cancer Center; Los Alamos National Lab; Princeton UniversityПодтвержден адрес электронной почты в домене mayo.edu
Dinggang ShenProf. and Founding Dean, School of BME, ShanghaiTech University; Co-CEO, United Imaging IntelligenceПодтвержден адрес электронной почты в домене shanghaitech.edu.cn
Bao GeShaanxi Normal UniversityПодтвержден адрес электронной почты в домене snnu.edu.cn
Yiwei LiPh.D. of CS, University of GeorgiaПодтвержден адрес электронной почты в домене uga.edu
Lichao "James" SunAssistant Professor of Computer Science, Lehigh UniversityПодтвержден адрес электронной почты в домене lehigh.edu
