The DOI matches its Crossref record; 31 of the 32 references it cites were found in a registry or an index.
Pre-trained multilevel fuse network based on vision-conditioned reasoning and bilinear attentions for medical image visual question answering
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In the citing paper
“Experiments on three benchmark datasets showed that the proposed model surpasses state-of-the-art models.”
From Navigating the landscape of multimodal AI in medicine: A scoping review on technical challenges and clinical applications (2025) · cites this paper as Cai et al., 2023
In the citing paper
“Finally, Cai et al. (2023) presented a pre-trained multilevel fusion network that combines Vision-conditioned reasoning and Bilinear attentions to enhance feature extraction from medical images and questions.”
From Navigating the landscape of multimodal AI in medicine: A scoping review on technical challenges and clinical applications (2025) · cites this paper as Cai et al., 2023
In the citing paper
“By incorporating Contrastive Language-Image Pre-training (CLIP) and stacked attention layers, their model reduces language bias and improves accuracy.”
From Navigating the landscape of multimodal AI in medicine: A scoping review on technical challenges and clinical applications (2025) · cites this paper as Cai et al., 2023
Citations
Cites
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Cited by
Sorted by citations
Schouten, D., Nicoletti, G., Dille, B., Chia, C., Vendittelli, P., Schuurmans, M., Litjens, G., & Khalili, N. (2025) · Medical Image Analysis · doi:10.1016/j.media.2025.103621 · Cited by 162
Visual Question Answering: A Survey of Methods, Datasets, Evaluation, and Challenges
Kim, B. S., Kim, J., Lee, D., & Jang, B. (2025) · ACM Computing Surveys · doi:10.1145/3728635 · Cited by 38
Sun, Y., Wen, X., Zhang, Y., Jin, L., Yang, C., Zhang, Q., Jiang, M. C., Xu, Z., Guo, W., Su, J., et al. (2025) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2025.108870 · Cited by 27
A multi-scale large kernel attention with U-Net for medical image registration
Chen, Y., Hu, X., Lü, T., Zou, L., & Liao, X. (2024) · The Journal of Supercomputing · doi:10.1007/s11227-024-06489-9 · Cited by 14
DSAF: A Dual-Stage Attention Based Multimodal Fusion Framework for Medical Visual Question Answering
Mukesh, K., Jayaprakash, S. L., & Kumar, R. P. (2025) · SN Computer Science · doi:10.1007/s42979-025-03868-8 · Cited by 5
Metadata
- Authors
- Cai, L., Fang, H., & Li, Z.
- Affiliations
- Chongqing University of Posts and Telecommunications (CN)
- Corresponding author
- Fang, Haodu
- Venue
- The Journal of Supercomputing
- Published
- 2023-03-29
- Volume
- 79
- Issue
- 12
- Pages
- 13696-13723
- ISSN
- 0920-8542 (ISSN-L)
- 1573-0484
- OpenAlex
- W4361284153
- Cited by
- 8
- References
- 32
- Citations by year
- 2026: 1 · 2025: 4 · 2024: 3
- FWCI
- 0.73
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- The Journal of Supercomputing (publishedVersion)
- Funders
- National Natural Science Foundation of China (62277008)
- Educational Informatization Project of Chongqing University of Posts and Telecommunications (xxhyf2022-08)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Multimodal Machine Learning Applications
- Health Sciences › Medicine › Health Informatics › Artificial Intelligence in Healthcare and Education
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image Retrieval and Classification Techniques
- Keywords
- multimodal fusion, language bias, CLIP, BiLSTM
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