| 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 | 1009 | 2023 |
| 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 | 215 | 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 | 180 | 2023 |
| Chataug: Leveraging chatgpt for text data augmentation H Dai, Z Liu, W Liao, X Huang, Z Wu, L Zhao, W Liu, N Liu, S Li, D Zhu, ... arXiv preprint arXiv:2302.13007 1 (2), 2023 | 157 | 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 | 151 | 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 |
| 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 | 94 | 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 | 90 | 2024 |
| Radiology-GPT: A Large Language Model for Radiology Z Liu, A Zhong, Y Li, L Yang, C Ju, Z Wu, C Ma, P Shu, C Chen, S Kim, ... arXiv preprint arXiv:2306.08666, 2023 | 67 | 2023 |
| 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 | 55 | 2024 |
| 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 | 52 | 2023 |
| 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, Z Liu, L Zhao, Y Li, H Dai, C Ma, G Li, W Liu, ... IEEE Transactions on Big Data, 2025 | 49 | 2025 |
| 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 | 49 | 2022 |
| 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 | 48 | 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 | 44 | 2023 |
| The cerebral cortex is bisectionally segregated into two fundamentally different functional units of gyri and sulci H Liu, S Zhang, X Jiang, T Zhang, H Huang, F Ge, L Zhao, X Li, X Hu, ... Cerebral Cortex 29 (10), 4238-4252, 2019 | 43 | 2019 |
| 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 | 42 | 2023 |
| Evaluation of OpenAI o1: Opportunities and Challenges of AGI T Zhong, Z Liu, Y Pan, Y Zhang, Y Zhou, S Liang, Z Wu, Y Lyu, P Shu, ... arXiv preprint arXiv:2409.18486, 2024 | 39 | 2024 |
| 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 | 37 | 2023 |
| Identify hierarchical structures from task-based fMRI data via hybrid spatiotemporal neural architecture search net W Zhang, L Zhao, Q Li, S Zhao, Q Dong, X Jiang, T Zhang, T Liu Medical Image Computing and Computer Assisted Intervention–MICCAI 2019: 22nd …, 2019 | 36 | 2019 |
Tianming LiuDistinguished Research Professor of Computer Science, University of Georgiaยืนยันอีเมลแล้วที่ cs.uga.edu
