The DOI matches its Crossref record; 281 of the 281 references it cites were found in a registry or an index.
Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives
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Exploiting Generative AI to Scale up Intelligent Tutoring Systems
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
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Language Models are Few-Shot Learners
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Cited by
Artificial intelligence for multimodal data integration in oncology
Lipkova, J., Chen, R. J., Chen, B., Lu, M. Y., Barbieri, M., Shao, D., Vaidya, A. J., Chen, C., Zhuang, L., Williamson, D. F. K., et al. (2022) · Cancer Cell · doi:10.1016/j.ccell.2022.09.012 · Cited by 777
Vision-language foundation model for 3D medical imaging
Wu, J., Wang, Y., Zhong, Z., Liao, W., Trayanova, N., Jiao, Z., & Bai, H. X. (2025) · npj Artificial Intelligence · doi:10.1038/s44387-025-00015-9 · Cited by 41
Deep learning transforms colorectal cancer biomarker prediction from histopathology images
Ruusuvuori, P., Valkonen, M., & Latonen, L. (2023) · Cancer Cell · doi:10.1016/j.ccell.2023.08.006 · Cited by 13
Metadata
- Authors
- Li, J., Chen, J., Tang, Y., Wang, C., Landman, B. A., & Zhou, S. K.
- Venue
- Medical Image Analysis
- Publisher
- Elsevier BV
- Published
- 2023-04
- Volume
- 85
- Pages
- 102762
- ISSN
- 1361-8415 (ISSN-L)
- OpenAlex
- W4318566866
- Cited by
- 389
- References
- 281
- FWCI
- 35.00
- Type
- journal article
- Language
- en
- Open access
- bronze
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- CoChat. (2026). Citation check: Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives. https://app.cochat.ai/papers/10.1016/j.media.2023.102762
- The paper
- Li, J., Chen, J., Tang, Y., Wang, C., Landman, B. A., & Zhou, S. K. (2023). Transforming medical imaging with Transformers? A comparative review of key properties, current progresses, and future perspectives. Medical Image Analysis. https://doi.org/10.1016/j.media.2023.102762
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.