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 | 190 | 2023 |
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 | 107 | 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 | 60 | 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 | 56 | 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 | 50 | 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 | 49 | 2023 |
Differentiate chatgpt-generated and human-written medical texts W Liao, Z Liu, H Dai, S Xu, Z Wu, Y Zhang, X Huang, D Zhu, H Cai, T Liu, ... arXiv preprint arXiv:2304.11567, 2023 | 45 | 2023 |
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 | 40 | 2022 |
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 | 34 | 2023 |
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 | 31 | 2022 |
Samaug: Point prompt augmentation for segment anything model H Dai, C Ma, Z Liu, Y Li, P Shu, X Wei, L Zhao, Z Wu, D Zhu, W Liu, Q Li, ... arXiv preprint arXiv:2307.01187, 2023 | 27 | 2023 |
Hierarchical organization of functional brain networks revealed by hybrid spatiotemporal deep learning W Zhang, S Zhao, X Hu, Q Dong, H Huang, S Zhang, Y Zhao, H Dai, F Ge, ... Brain connectivity 10 (2), 72-82, 2020 | 27 | 2020 |
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 | 23 | 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, W Liu, ... arXiv preprint arXiv:2302.10447, 2023 | 22 | 2023 |
How to measure sessions of mobile phone use? Quantification, evaluation, and applications JJH Zhu, H Chen, TQ Peng, XF Liu, H Dai Mobile Media & Communication 6 (2), 215-232, 2018 | 22 | 2018 |
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 | 20 | 2023 |
Pharmacygpt: The ai pharmacist Z Liu, Z Wu, M Hu, B Zhao, L Zhao, T Zhang, H Dai, X Chen, Y Shen, S Li, ... arXiv preprint arXiv:2307.10432, 2023 | 18 | 2023 |
Coarse-to-fine knowledge graph domain adaptation based on distantly-supervised iterative training H Cai, W Liao, Z Liu, Y Zhang, X Huang, S Ding, H Ren, Z Wu, H Dai, S Li, ... arXiv preprint arXiv:2211.02849, 2022 | 17 | 2022 |
Predicting hyperlinks via hypernetwork loop structure L Pan, HJ Shang, P Li, H Dai, W Wang, L Tian Europhysics Letters 135 (4), 48005, 2021 | 17 | 2021 |
Exploring new frontiers in agricultural nlp: Investigating the potential of large language models for food applications S Rezayi, Z Liu, Z Wu, C Dhakal, B Ge, H Dai, G Mai, N Liu, C Zhen, T Liu, ... arXiv preprint arXiv:2306.11892, 2023 | 16 | 2023 |