| Exploring and distilling posterior and prior knowledge for radiology report generation F Liu, X Wu, S Ge, W Fan, Y Zou CVPR, 2021 | 374 | 2021 |
| Competence-based multimodal curriculum learning for medical report generation F Liu, S Ge, Y Zou, X Wu ACL, 2022 | 191 | 2022 |
| Contrastive attention for automatic chest x-ray report generation F Liu, C Yin, X Wu, S Ge, Y Zou, P Zhang, X Sun ACL (Findings), 2021 | 189 | 2021 |
| Federated learning for vision-and-language grounding problems F Liu, X Wu, S Ge, W Fan, Y Zou AAAI, 2020 | 165 | 2020 |
| Aligntransformer: Hierarchical alignment of visual regions and disease tags for medical report generation D You, F Liu, S Ge, X Xie, J Zhang, X Wu MICCAI, 2021 | 161 | 2021 |
| Class-aware adversarial transformers for medical image segmentation C You, R Zhao, F Liu, S Dong, S Chinchali, U Topcu, L Staib, J Duncan NeurIPS, 2022 | 152 | 2022 |
| Aligning visual regions and textual concepts for semantic-grounded image representations F Liu, Y Liu, X Ren, X He, X Sun NeurIPS, 2019 | 138 | 2019 |
| Rethinking skip connection with layer normalization in transformers and resnets F Liu, X Ren, Z Zhang, X Sun, Y Zou COLING, 2021 | 128 | 2021 |
| Auto-encoding knowledge graph for unsupervised medical report generation F Liu, C You, X Wu, S Ge, X Sun NeurIPS, 2021 | 126 | 2021 |
| simnet: Stepwise image-topic merging network for generating detailed and comprehensive image captions F Liu, X Ren, Y Liu, H Wang, X Sun EMNLP, 2018 | 120 | 2018 |
| Application of large language models in medicine H Zhou, F Liu, B Gu, X Zou, J Huang, J Wu, Y Li, SS Chen, ... Nature Reviews Bioengineering, 2025 | 114* | 2025 |
| Non-autoregressive coarse-to-fine video captioning B Yang, Y Zou, F Liu, C Zhang AAAI, 2021 | 93 | 2021 |
| Rethinking semi-supervised medical image segmentation: A variance-reduction perspective C You, W Dai, Y Min, F Liu, X Zhang, C Feng, DA Clifton, SK Zhou, ... NeurIPS, 2024 | 89 | 2024 |
| Benchmarking Large Language Models on CMExam--A Comprehensive Chinese Medical Exam Dataset J Liu, P Zhou, Y Hua, D Chong, Z Tian, A Liu, H Wang, C You, Z Guo, ... NeurIPS, 2024 | 80 | 2024 |
| Prophet attention: Predicting attention with future attention F Liu, X Ren, X Wu, S Ge, W Fan, Y Zou, X Sun NeurIPS, 2020 | 80 | 2020 |
| Exploring and distilling cross-modal information for image captioning F Liu, X Ren, Y Liu, K Lei, X Sun IJCAI, 2020 | 77 | 2020 |
| A medical multimodal large language model for future pandemics F Liu, T Zhu, X Wu, B Yang, C You, C Wang, L Lu, Z Liu, Y Zheng, X Sun, ... NPJ Digital Medicine 6 (1), 226, 2023 | 69 | 2023 |
| Expectation-maximization contrastive learning for compact video-and-language representations P Jin, J Huang, F Liu, X Wu, S Ge, G Song, D Clifton, J Chen NeurIPS, 2022 | 69 | 2022 |
| End-to-end spoken conversational question answering: Task, dataset and model C You, N Chen, F Liu, S Ge, X Wu, Y Zou NAACL (Findings), 2022 | 67* | 2022 |
| Mine your own anatomy: Revisiting medical image segmentation with extremely limited labels C You, W Dai, F Liu, Y Min, H Su, X Zhang, X Li, DA Clifton, L Staib, ... IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024 | 65 | 2024 |
David A. CliftonChair of Clinical Machine Learning, University of Oxfordeng.ox.ac.uk üzerinde doğrulanmış e-posta adresine sahip