| Auggpt: Leveraging chatgpt for text data augmentation H Dai, Z Liu, W Liao, X Huang, Y Cao, Z Wu, L Zhao, S Xu, F Zeng, W Liu, ... IEEE Transactions on Big Data, 2025 | 349* | 2025 |
| 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 |
| 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 | 147 | 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 | 146 | 2023 |
| 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 | 104 | 2023 |
| 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 | 95 | 2023 |
| 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 | 94 | 2023 |
| Large language models for robotics: Opportunities, challenges, and perspectives J Wang, Z Wu, Y Li, H Jiang, P Shu, E Shi, H Hu, C Ma, Y Liu, X Wang, ... arXiv preprint arXiv:2401.04334, 2024 | 84 | 2024 |
| Revolutionizing finance with llms: An overview of applications and insights H Zhao, Z Liu, Z Wu, Y Li, T Yang, P Shu, S Xu, H Dai, L Zhao, G Mai, ... arXiv preprint arXiv:2401.11641, 2024 | 80 | 2024 |
| Clinicalradiobert: Knowledge-infused few shot learning for clinical notes named entity recognition S Rezayi, H Dai, Z Liu, Z Wu, A Hebbar, AH Burns, L Zhao, D Zhu, Q Li, ... International Workshop on Machine Learning in Medical Imaging, 269-278, 2022 | 51 | 2022 |
| Artificial general intelligence for medical imaging analysis X Li, L Zhao, L Zhang, Z Wu, Z Liu, H Jiang, C Cao, S Xu, Y Li, H Dai, ... IEEE Reviews in Biomedical Engineering, 2024 | 50 | 2024 |
| Exploring the trade-offs: Unified large language models vs local fine-tuned models for highly-specific radiology nli task Z Wu, L Zhang, C Cao, X Yu, H Dai, C Ma, Z Liu, L Zhao, G Li, W Liu, Q Li, ... arXiv preprint arXiv:2304.09138, 2023 | 47 | 2023 |
| Samaug: Point prompt augmentation for segment anything model H Dai, C Ma, Z Yan, Z Liu, E Shi, Y Li, P Shu, X Wei, L Zhao, Z Wu, F Zeng, ... arXiv preprint arXiv:2307.01187, 2023 | 46 | 2023 |
| Tailoring large language models to radiology: A preliminary approach to llm adaptation for a highly specialized domain Z Liu, A Zhong, Y Li, L Yang, C Ju, Z Wu, C Ma, P Shu, C Chen, S Kim, ... International Workshop on Machine Learning in Medical Imaging, 464-473, 2023 | 43 | 2023 |
| AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiology H Dai, Y Li, Z Liu, L Zhao, Z Wu, S Song, Y Shen, D Zhu, X Li, S Li, X Yao, ... arXiv preprint arXiv:2306.10095, 2023 | 40 | 2023 |
| Mask-guided BERT for few-shot text classification W Liao, Z Liu, H Dai, Z Wu, Y Zhang, X Huang, Y Chen, X Jiang, D Liu, ... Neurocomputing 610, 128576, 2024 | 39 | 2024 |
| Survey on natural language processing in medical image analysis. Z Liu, M He, Z Jiang, Z Wu, H Dai, L Zhang, S Luo, T Han, X Li, X Jiang, ... Zhong nan da xue xue bao. Yi xue ban= Journal of Central South University …, 2022 | 37 | 2022 |
| Agi for agriculture G Lu, S Li, G Mai, J Sun, D Zhu, L Chai, H Sun, X Wang, H Dai, N Liu, ... arXiv preprint arXiv:2304.06136, 2023 | 35 | 2023 |
| Evaluating large language models for radiology natural language processing Z Liu, T Zhong, Y Li, Y Zhang, Y Pan, Z Zhao, P Dong, C Cao, Y Liu, ... arXiv preprint arXiv:2307.13693, 2023 | 33 | 2023 |
| Segment anything model (sam) for radiation oncology L Zhang, Z Liu, L Zhang, Z Wu, X Yu, J Holmes, H Feng, H Dai, X Li, Q Li, ... arXiv preprint arXiv:2306.11730, 2023 | 31 | 2023 |
Tianming LiuDistinguished Research Professor of Computer Science, University of Georgiacs.uga.edu의 이메일 확인됨
