The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
DeepVessel: Retinal Vessel Segmentation via Deep Learning and Conditional Random Field
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Citations
Cites
Fully convolutional networks for semantic segmentation
Long, J., Shelhamer, E., & Darrell, T. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298965 · Cited by 38,834
Ridge-based vessel segmentation in color images of the retina
Staal, J., Abramoff, M. D., Niemeijer, M., Viergever, M. A., & van Ginneken, B. (2004) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2004.825627 · Cited by 4,202
Conditional Random Fields as Recurrent Neural Networks
Zheng, S., Jayasumana, S., Romera-Paredes, B., Vineet, V., Su, Z., Du, D., Huang, C., & Torr, P. H. S. (2015) · 2015 IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.179 · Cited by 2,386
Cited by
A survey on deep learning in medical image analysis
Litjens, G., Kooi, T., Bejnordi, B. E., Setio, A. A. A., Ciompi, F., Ghafoorian, M., van der Laak, J. A. W. M., van Ginneken, B., & Sánchez, C. I. (2017) · Medical Image Analysis · doi:10.1016/j.media.2017.07.005 · Cited by 15,332
Weighted Res-UNet for High-Quality Retina Vessel Segmentation
Xiao, X., Lian, S., Luo, Z., & Li, S. (2018) · 2018 9th International Conference on Information Technology in Medicine and Education (ITME) · doi:10.1109/itme.2018.00080 · Cited by 963
MISSFormer: An Effective Transformer for 2D Medical Image Segmentation
Huang, X., Deng, Z., Li, D., Yuan, X., & Fu, Y. (2023) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2022.3230943 · Cited by 594
End-to-End Adversarial Retinal Image Synthesis
Costa, P., Galdran, A., Meyer, M. I., Niemeijer, M., Abramoff, M., Mendonca, A. M., & Campilho, A. (2018) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2017.2759102 · Cited by 432
A Three-Stage Deep Learning Model for Accurate Retinal Vessel Segmentation
Yan, Z., Yang, X., & Cheng, K.-T. (2019) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2018.2872813 · Cited by 341
Metadata
- Authors
- Fu, H., Xu, Y., Lin, S., Kee Wong, D. W., & Liu, J.
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2016
- Pages
- 132-139
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2527341761
- Cited by
- 453
- References
- 3
- FWCI
- 89.10
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: DeepVessel: Retinal Vessel Segmentation via Deep Learning and Conditional Random Field. https://app.cochat.ai/papers/10.1007/978-3-319-46723-8_16
- The paper
- Fu, H., Xu, Y., Lin, S., Kee Wong, D. W., & Liu, J. (2016). DeepVessel: Retinal Vessel Segmentation via Deep Learning and Conditional Random Field. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-319-46723-8_16
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
