| 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 | 75 | 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 | 71 | 2024 |
| 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 | 70 | 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 | 55 | 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, H Dai, C Ma, Z Liu, L Zhao, G Li, W Liu, Q Li, ... arXiv preprint arXiv:2304.09138, 2023 | 36 | 2023 |
| A model-based gait recognition method based on gait graph convolutional networks and joints relationship pyramid mapping N Li, X Zhao, C Ma arXiv preprint arXiv:2005.08625, 2020 | 34 | 2020 |
| 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 |
| Eye-gaze-guided vision transformer for rectifying shortcut learning C Ma, L Zhao, Y Chen, S Wang, L Guo, T Zhang, D Shen, X Jiang, T Liu IEEE Transactions on Medical Imaging 42 (11), 3384-3394, 2023 | 21 | 2023 |
| Instruction-ViT: Multi-modal prompts for instruction learning in vision transformer Z Xiao, Y Chen, L Zhang, J Yao, Z Wu, X Yu, Y Pan, L Zhao, C Ma, X Liu, ... Information Fusion 104, 102204, 2024 | 20* | 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 | 16 | 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 | 15 | 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 | 14 | 2024 |
| Rectify ViT Shortcut Learning by Visual Saliency C Ma, L Zhao, Y Chen, DW Liu, X Jiang, T Zhang, X Hu, D Shen, D Zhu, ... IEEE Transactions on Neural Networks and Learning Systems, 2023 | 12 | 2023 |
| Holistic evaluation of gpt-4v for biomedical imaging Z Liu, H Jiang, T Zhong, Z Wu, C Ma, Y Li, X Yu, Y Zhang, Y Pan, P Shu, ... arXiv preprint arXiv:2312.05256, 2023 | 7 | 2023 |
| Mammo-net: Integrating gaze supervision and interactive information in multi-view mammogram classification C Ji, C Du, Q Zhang, S Wang, C Ma, J Xie, Y Zhou, H He, D Shen International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 6 | 2023 |
| Chat2brain: A method for mapping open-ended semantic queries to brain activation maps Y Wei, T Zhong, S Zhang, X Li, T Zhang, L Zhao, Z Liu, M Shang, T Liu, ... 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2023 | 3 | 2023 |
| Learning Better Contrastive View from Radiologist's Gaze S Wang, Z Zhuang, X Ouyang, L Zhang, Z Li, C Ma, T Liu, D Shen, ... arXiv preprint arXiv:2305.08826, 2023 | 2 | 2023 |
| A small-sample method with eeg signals based on abductive learning for motor imagery decoding T Zhong, X Wei, E Shi, J Gao, C Ma, Y Wei, S Zhang, L Guo, J Han, T Liu, ... International Conference on Medical Image Computing and Computer-Assisted …, 2023 | 1 | 2023 |
| Eye-gaze Guided Multi-modal Alignment Framework for Radiology C Ma, H Jiang, W Chen, Z Wu, X Yu, F Zeng, L Guo, D Zhu, T Zhang, ... arXiv preprint arXiv:2403.12416, 2024 | | 2024 |
| Brain Structural Connectivity Guided Vision Transformers for Identification of Functional Connectivity Characteristics in Preterm Neonates W Mao, Y Chen, Z He, Z Wang, Z Xiao, Y Sun, L He, J Zhou, W Guo, C Ma, ... IEEE Journal of Biomedical and Health Informatics, 2024 | | 2024 |
Tianming LiuDistinguished Research Professor of Computer Science, University of Georgia在 cs.uga.edu 的电子邮件经过验证
