The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.
Systematic Review of Synthetic Computed Tomography Generation Methodologies for Use in Magnetic Resonance Imaging–Only Radiation Therapy
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Citations
Cites
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & for the PRISMA Group (2009) · BMJ · doi:10.1136/bmj.b2535 · Cited by 83,823
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & The PRISMA Group (2009) · PLoS Medicine · doi:10.1371/journal.pmed.1000097 · Cited by 64,042
Image quality assessment: from error visibility to structural similarity
Wang, Z., Bovik, A. C., Sheikh, H. R., & Simoncelli, E. P. (2004) · IEEE Transactions on Image Processing · doi:10.1109/tip.2003.819861 · Cited by 57,892
Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement.
(2009) · PubMed Central · Cited by 44,859
A technique for the quantitative evaluation of dose distributions
Low, D. A., Harms, W. B., Mutic, S., & Purdy, J. A. (1998) · Medical Physics · doi:10.1118/1.598248 · Cited by 2,880
Magnetic Resonance: An Introduction to Ultrashort TE (UTE) Imaging
Robson, M. D., Gatehouse, P. D., Bydder, M., & Bydder, G. M. (2003) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-200311000-00001 · Cited by 717
The Magnetic Resonance Imaging–Linac System
Lagendijk, J. J. W., Raaymakers, B. W., & van Vulpen, M. (2014) · Seminars in Radiation Oncology · doi:10.1016/j.semradonc.2014.02.009 · Cited by 464
MRI-Based Attenuation Correction for PET/MRI Using Ultrashort Echo Time Sequences
Keereman, V., Fierens, Y., Broux, T., De Deene, Y., Lonneux, M., & Vandenberghe, S. (2010) · Journal of Nuclear Medicine · doi:10.2967/jnumed.109.065425 · Cited by 442
A review of substitute CT generation for MRI-only radiation therapy
Edmund, J. M., & Nyholm, T. (2017) · Radiation Oncology · doi:10.1186/s13014-016-0747-y · Cited by 378
Radiotherapy planning using MRI
Schmidt, M. A., & Payne, G. S. (2015) · Physics in Medicine and Biology · doi:10.1088/0031-9155/60/22/r323 · Cited by 357
Cited by
Maspero, M., Savenije, M. H. F., Dinkla, A. M., Seevinck, P. R., Intven, M. P. W., Jurgenliemk-Schulz, I. M., Kerkmeijer, L. G. W., & van den Berg, C. A. T. (2018) · Physics in Medicine & Biology · doi:10.1088/1361-6560/aada6d · Cited by 253
Revolutionizing radiation therapy: the role of AI in clinical practice
Kawamura, M., Kamomae, T., Yanagawa, M., Kamagata, K., Fujita, S., Ueda, D., Matsui, Y., Fushimi, Y., Fujioka, T., Nozaki, T., et al. (2024) · Journal of Radiation Research · doi:10.1093/jrr/rrad090 · Cited by 86
Artificial intelligence in radiotherapy
Li, G., Wu, X., & Ma, X. (2022) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2022.08.005 · Cited by 46
Metadata
- Authors
- Johnstone, E., Wyatt, J. J., Henry, A. M., Short, S. C., Sebag-Montefiore, D., Murray, L., Kelly, C. G., McCallum, H. M., & Speight, R.
- Venue
- International Journal of Radiation Oncology*Biology*Physics
- Publisher
- Elsevier BV
- Published
- 2018-01
- Volume
- 100
- Issue
- 1
- Pages
- 199-217
- ISSN
- 0360-3016 (ISSN-L)
- OpenAlex
- W2771678676
- Cited by
- 317
- References
- 38
- FWCI
- 4.94
- Type
- journal article
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Systematic Review of Synthetic Computed Tomography Generation Methodologies for Use in Magnetic Resonance Imaging–Only Radiation Therapy. https://app.cochat.ai/papers/10.1016/j.ijrobp.2017.08.043
- The paper
- Johnstone, E., Wyatt, J. J., Henry, A. M., Short, S. C., Sebag-Montefiore, D., Murray, L., Kelly, C. G., McCallum, H. M., & Speight, R. (2018). Systematic Review of Synthetic Computed Tomography Generation Methodologies for Use in Magnetic Resonance Imaging–Only Radiation Therapy. International Journal of Radiation Oncology*Biology*Physics. https://doi.org/10.1016/j.ijrobp.2017.08.043
Data sources
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.
