The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Iterative reconstruction methods in X-ray CT
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Citations
Cites
Maximum Likelihood Reconstruction for Emission Tomography
Shepp, L. A., & Vardi, Y. (1982) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.1982.4307558 · Cited by 4,429
Cited by
Deep Convolutional Neural Network for Inverse Problems in Imaging
Jin, K. H., McCann, M. T., Froustey, E., & Unser, M. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2713099 · Cited by 2,529
“X-ray reconstruction has a long history of both direct [40], and iterative methods [41].”
BackgroundImage reconstruction by domain-transform manifold learning
Zhu, B., Liu, J. Z., Cauley, S. F., Rosen, B. R., & Rosen, M. S. (2018) · Nature · doi:10.1038/nature25988 · Cited by 1,694
Yang, Q., Yan, P., Zhang, Y., Yu, H., Shi, Y., Mou, X., Kalra, M. K., Zhang, Y., Sun, L., & Wang, G. (2018) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2018.2827462 · Cited by 1,630
Withers, P. J., Bouman, C., Carmignato, S., Cnudde, V., Grimaldi, D., Hagen, C. K., Maire, E., Manley, M., Du Plessis, A., & Stock, S. R. (2021) · Nature Reviews Methods Primers · doi:10.1038/s43586-021-00015-4 · Cited by 1,079
A deep convolutional neural network using directional wavelets for low‐dose X‐ray CT reconstruction
Kang, E., Min, J., & Ye, J. C. (2017) · Medical Physics · doi:10.1002/mp.12344 · Cited by 709
Metadata
- Authors
- Beister, M., Kolditz, D., & Kalender, W. A.
- Venue
- Physica Medica
- Publisher
- Elsevier BV
- Published
- 2012-04
- Volume
- 28
- Issue
- 2
- Pages
- 94-108
- ISSN
- 1120-1797 (ISSN-L)
- OpenAlex
- W1999320095
- Cited by
- 751
- References
- 1
- FWCI
- 35.82
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Beister, M., Kolditz, D., & Kalender, W. A. (2012). Iterative reconstruction methods in X-ray CT. Physica Medica. https://doi.org/10.1016/j.ejmp.2012.01.003
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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.
