The following publications are possibly variants of this publication:
- MedFILIP: Medical Fine-Grained Language-Image Pre-TrainingXinjie Liang, Xiangyu Li 0004, Fanding Li, Jie Jiang, Qing Dong, Wei Wang 0169, Kuanquan Wang, Suyu Dong, Gongning Luo, Shuo Li 0001. titb, 29(5):3587-3597, May 2025. [doi]
- Anatomical Structure-Guided Medical Vision-Language Pre-trainingQingqiu Li, Xiaohan Yan, Jilan Xu, Runtian Yuan, Yuejie Zhang, Rui Feng, Quanli Shen, Xiaobo Zhang, Shujun Wang. miccai 2024: 80-90 [doi]
- Knowledge Boosting: Rethinking Medical Contrastive Vision-Language Pre-trainingXiaofei Chen, Yuting He, Cheng Xue, Rongjun Ge, Shuo Li 0001, Guanyu Yang. miccai 2023: 405-415 [doi]
- Align, Reason and Learn: Enhancing Medical Vision-and-Language Pre-training with KnowledgeZhihong Chen, Guanbin Li, Xiang Wan. mm 2022: 5152-5161 [doi]
- Fine-Grained Semantically Aligned Vision-Language Pre-TrainingJuncheng Li 0006, Xin He, Longhui Wei, Long Qian, Linchao Zhu, Lingxi Xie, Yueting Zhuang, Qi Tian 0001, Siliang Tang. nips 2022: [doi]
- Multi-Grained Vision-and-Language Model for Medical Image and Text AlignmentHuimin Yan, Xian Yang 0001, Liang Bai 0001, Jiamin Li, Jiye Liang. tmm, 27:6780-6792, 2025. [doi]
- Advancing Molecular Graph-Text Pre-training via Fine-grained AlignmentYibo Li, Yuan Fang 0001, Mengmei Zhang, Chuan Shi 0001. kdd 2025: 1589-1599 [doi]
- Advancing Multi-grained Alignment for Contrastive Language-Audio Pre-trainingYiming Li, Zhifang Guo, Xiangdong Wang, Hong Liu 0007. mm 2024: 7356-7365 [doi]