| 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 | 608 | 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 | 472 | 2021 |
| 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 | 435 | 2023 |
| 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 | 322 | 2019 |
| 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 | 199 | 2015 |
| 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 | 183 | 2023 |
| 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 | 169 | 2014 |
| 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 | 156 | 2014 |
| 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 | 102 | 2016 |
| 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 | 99 | 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 | 84 | 2018 |
| Characterizing and differentiating brain state dynamics via hidden Markov models J Ou, L Xie, C Jin, X Li, D Zhu, R Jiang, Y Chen, J Zhang, L Li, T Liu Brain topography 28, 666-679, 2015 | 74 | 2015 |
| Experimental comparisons of sparse dictionary learning and independent component analysis for brain network inference from fMRI data W Zhang, J Lv, X Li, D Zhu, X Jiang, S Zhang, Y Zhao, L Guo, J Ye, D Hu, ... IEEE Transactions on Biomedical Engineering 66 (1), 289-299, 2018 | 70 | 2018 |
| Sparse representation of HCP grayordinate data reveals novel functional architecture of cerebral cortex X Jiang, X Li, J Lv, T Zhang, S Zhang, L Guo, T Liu Human brain mapping 36 (12), 5301-5319, 2015 | 70 | 2015 |
| 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 | 60 | 2024 |
| 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 | 60 | 2023 |
| Deep Metric Learning-based Image Retrieval System for Chest Radiograph and its Clinical Applications in COVID-19 A Zhong, X Li, D Wu, H Ren, K Kim, Y Kim, V Buch, N Neumark, B Bizzo, ... Medical Image Analysis, 101993, 2021 | 59 | 2021 |
| 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 | 57 | 2023 |
| Consensus Neural Network for Medical Imaging Denoising with Only Noisy Training Samples D Wu, K Gong, K Kim, X Li, Q Li International Conference on Medical Image Computing and Computer-Assisted …, 2019 | 54 | 2019 |
| 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 | 51 | 2023 |
Tianming LiuDistinguished Research Professor of Computer Science, University of GeorgiaVerified email at cs.uga.edu
