The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
Quantifying tumour heterogeneity in 18F-FDG PET/CT imaging by texture analysis
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Cites
Radiomics: extracting more information from medical images using advanced feature analysis
Lambin, P., Rios-Velazquez, E., Leijenaar, R., Carvalho, S., van Stiphout, R. G. P. M., Granton, P., Zegers, C. M. L., Gillies, R., Boellard, R., Dekker, A., et al. (2012) · European Journal of Cancer · doi:10.1016/j.ejca.2011.11.036 · Cited by 6,084
From RECIST to PERCIST: Evolving Considerations for PET Response Criteria in Solid Tumors
Wahl, R. L., Jacene, H., Kasamon, Y., & Lodge, M. A. (2009) · Journal of Nuclear Medicine · doi:10.2967/jnumed.108.057307 · Cited by 3,777
Textural features corresponding to textural properties
Amadasun, M., & King, R. (1989) · IEEE Transactions on Systems, Man, and Cybernetics · doi:10.1109/21.44046 · Cited by 1,148
Texture analysis of medical images
Castellano, G., Bonilha, L., Li, L. M., & Cendes, F. (2004) · Clinical Radiology · doi:10.1016/j.crad.2004.07.008 · Cited by 1,026
Positron-Emission Tomography and Assessment of Cancer Therapy
Juweid, M. E., & Cheson, B. D. (2006) · New England Journal of Medicine · doi:10.1056/nejmra050276 · Cited by 750
Tixier, F., Le Rest, C. C., Hatt, M., Albarghach, N., Pradier, O., Metges, J.-P., Corcos, L., & Visvikis, D. (2011) · Journal of Nuclear Medicine · doi:10.2967/jnumed.110.082404 · Cited by 696
Decoding global gene expression programs in liver cancer by noninvasive imaging
Segal, E., Sirlin, C. B., Ooi, C., Adler, A. S., Gollub, J., Chen, X., Chan, B. K., Matcuk, G. R., Barry, C. T., Chang, H. Y., et al. (2007) · Nature Biotechnology · doi:10.1038/nbt1306 · Cited by 629
Ganeshan, B., Panayiotou, E., Burnand, K., Dizdarevic, S., & Miles, K. (2012) · European Radiology · doi:10.1007/s00330-011-2319-8 · Cited by 505
Exploring feature-based approaches in PET images for predicting cancer treatment outcomes
El Naqa, I., Grigsby, P. W., Apte, A., Kidd, E., Donnelly, E., Khullar, D., Chaudhari, S., Yang, D., Schmitt, M., Laforest, R., et al. (2009) · Pattern Recognition · doi:10.1016/j.patcog.2008.08.011 · Cited by 480
Non–Small Cell Lung Cancer: Histopathologic Correlates for Texture Parameters at CT
Ganeshan, B., Goh, V., Mandeville, H. C., Ng, Q. S., Hoskin, P. J., & Miles, K. A. (2013) · Radiology · doi:10.1148/radiol.12112428 · Cited by 447
Self-citation
Cited by
Mechanisms and Implications of Metabolic Heterogeneity in Cancer
Kim, J., & DeBerardinis, R. J. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.08.013 · Cited by 606
Berenguer, R., Pastor-Juan, M. D. R., Canales-Vázquez, J., Castro-García, M., Villas, M. V., Mansilla Legorburo, F., & Sabater, S. (2018) · Radiology · doi:10.1148/radiol.2018172361 · Cited by 622
The Biological Meaning of Radiomic Features
Tomaszewski, M. R., & Gillies, R. J. (2021) · Radiology · doi:10.1148/radiol.2021202553 · Cited by 549
Hatt, M., Majdoub, M., Vallières, M., Tixier, F., Le Rest, C. C., Groheux, D., Hindié, E., Martineau, A., Pradier, O., Hustinx, R., et al. (2015) · Journal of Nuclear Medicine · doi:10.2967/jnumed.114.144055 · Cited by 438
Classifying the evolutionary and ecological features of neoplasms
Maley, C. C., Aktipis, A., Graham, T. A., Sottoriva, A., Boddy, A. M., Janiszewska, M., Silva, A. S., Gerlinger, M., Yuan, Y., Pienta, K. J., et al. (2017) · Nature Reviews Cancer · doi:10.1038/nrc.2017.69 · Cited by 423
Metadata
- Authors
- Chicklore, S., Goh, V., Siddique, M., Roy, A., Marsden, P. K., & Cook, G. J. R.
- Venue
- European Journal of Nuclear Medicine and Molecular Imaging
- Published
- 2012-10-13
- Volume
- 40
- Issue
- 1
- Pages
- 133-140
- ISSN
- 1619-7070 (ISSN-L)
- 1619-7089
- OpenAlex
- W2033973189
- Cited by
- 488
- References
- 56
- FWCI
- 15.13
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Quantifying tumour heterogeneity in 18F-FDG PET/CT imaging by texture analysis. https://app.cochat.ai/papers/10.1007/s00259-012-2247-0
- The paper
- Chicklore, S., Goh, V., Siddique, M., Roy, A., Marsden, P. K., & Cook, G. J. R. (2013). Quantifying tumour heterogeneity in 18F-FDG PET/CT imaging by texture analysis. European Journal of Nuclear Medicine and Molecular Imaging. https://doi.org/10.1007/s00259-012-2247-0
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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.
