Dynamically Balanced Online Random Forests for Interactive Scribble-Based Segmentation
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Breiman, L. (2001) · Machine Learning · doi:10.1023/a:1010933404324 · Cited by 133,538 · see citing works
Interactive graph cuts for optimal boundary & region segmentation of objects in N-D images
Boykov, Y. Y., & Jolly, M.-P. (2002) · Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001 · doi:10.1109/iccv.2001.937505 · Cited by 3,674 · see citing works
Saffari, A., Leistner, C., Santner, J., Godec, M., & Bischof, H. (2009) · IEEE International Conference on Computer Vision Workshops · doi:10.1109/iccvw.2009.5457447 · Cited by 502 · see citing works
User-Friendly Interactive Image Segmentation Through Unified Combinatorial User Inputs
Yang, W., Cai, J., Zheng, J., et al. (2010) · IEEE Transactions on Image Processing · doi:10.1109/tip.2010.2048611 · Cited by 139 · see citing works
Active Learning for Interactive 3D Image Segmentation
Top, A., Hamarneh, G., & Rafeef Abugharbieh, A. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-23626-6_74 · Cited by 121 · see citing works
Grady, L., Schiwietz, T., Aharon, S., & Westermann, R. (2005) · Lecture Notes in Computer Science · doi:10.1007/11566489_95 · Cited by 113 · see citing works
Interactive Texture Segmentation using Random Forests and Total Variation
Santner, J., Unger, M., Pock, T., et al. (2009) · British Machine Vision Conference (BMVC) · doi:10.5244/c.23.66 · Cited by 35 · see citing works
Wang, G., Zuluaga, M. A., Pratt, R., Aertsen, M., David, A. L., Deprest, J. A., Vercauteren, T. K., & Sebastien Ourselin, A. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-24574-4_4 · Cited by 24 · see citing works
Self-citationIntellEditS: Intelligent Learning-Based Editor of Segmentations
Harrison, A. P., Birkbeck, N., & Sofka, M. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-40760-4_30 · Cited by 6 · see citing works
(2012) · Cited by 4 · see citing works
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DeepIGeoS: A Deep Interactive Geodesic Framework for Medical Image Segmentation
Wang, G., Zuluaga, M. A., Li, W., Pratt, R., Patel, P. A., Aertsen, M., Doel, T., David, A. L., Deprest, J., Ourselin, S., et al. (2019) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2018.2840695 · Cited by 502 · see citing works
Self-citationLuo, X., Wang, G., Song, T., Zhang, J., Aertsen, M., Deprest, J., Ourselin, S., Vercauteren, T., & Zhang, S. (2021) · Medical Image Analysis · doi:10.1016/j.media.2021.102102 · Cited by 126 · see citing works
Self-citationSegmentation and classification in MRI and US fetal imaging: Recent trends and future prospects
Torrents-Barrena, J., Piella, G., Masoller, N., Gratacós, E., Eixarch, E., Ceresa, M., & Ballester, M. Á. G. (2019) · Medical Image Analysis · doi:10.1016/j.media.2018.10.003 · Cited by 97 · see citing works
- Authors
- Wang, G., Zuluaga, M. A., Pratt, R., Aertsen, M., Doel, T., Klusmann, M., David, A. L., Deprest, J., Vercauteren, T., & Ourselin, S.
- Affiliations
- University College London (GB)
- University College Hospital (GB)
- KU Leuven (BE)
- Corresponding author
- Wang, Guotai
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2016
- Pages
- 352-360
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2526812697
- Cited by
- 14
- References
- 10
- Citations by year
- 2023: 2 · 2022: 2 · 2021: 1 · 2020: 1 · 2019: 2 · 2018: 2 · 2017: 2 · 2016: 2
- FWCI
- 0.92
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Research Portal (King's College London) (submittedVersion)
- Funders
- Engineering and Physical Sciences Research Council (EP/H046410/1)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Medical Image Segmentation Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Imbalanced Data Classification Techniques
- Physical Sciences › Computer Science › Artificial Intelligence › Machine Learning and Data Classification
- Keywords
- interactive segmentation, scribble-based segmentation, class imbalance, placenta segmentation, fetal MRI, lung segmentation, radiographic images, medical image analysis
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