The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Radiogenomics: What It Is and Why It Is Important
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Citations
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
Mutational heterogeneity in cancer and the search for new cancer-associated genes
Lawrence, M. S., Stojanov, P., Polak, P., Kryukov, G. V., Cibulskis, K., Sivachenko, A., Carter, S. L., Stewart, C., Mermel, C. H., Roberts, S. A., et al. (2013) · Nature · doi:10.1038/nature12213 · Cited by 5,461
Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach
Aerts, H. J. W. L., Velazquez, E. R., Leijenaar, R. T. H., Parmar, C., Grossmann, P., Carvalho, S., Bussink, J., Monshouwer, R., Haibe-Kains, B., Rietveld, D., et al. (2014) · Nature Communications · doi:10.1038/ncomms5006 · Cited by 5,132
Radiomics: the process and the challenges
Kumar, V., Gu, Y., Basu, S., Berglund, A., Eschrich, S. A., Schabath, M. B., Forster, K., Aerts, H. J. W. L., Dekker, A., Fenstermacher, D., et al. (2012) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2012.06.010 · Cited by 2,258 · cited 1×
“Finally, ‘ radiogenomics’ has been equated with another approach called ‘ radiomics’ [5], [6], [7].”
BackgroundImaging Intratumor Heterogeneity: Role in Therapy Response, Resistance, and Clinical Outcome
O'Connor, J. P. B., Rose, C. J., Waterton, J. C., Carano, R. A. D., Parker, G. J. M., & Jackson, A. (2015) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-14-0990 · Cited by 677
RadLex: A New Method for Indexing Online Educational Materials
Langlotz, C. P. (2006) · RadioGraphics · doi:10.1148/rg.266065168 · Cited by 427
Gutman, D. A., Cooper, L. A. D., Hwang, S. N., Holder, C. A., Gao, J., Aurora, T. D., Dunn, W. D., Scarpace, L., Mikkelsen, T., Jain, R., et al. (2013) · Radiology · doi:10.1148/radiol.13120118 · Cited by 420
Gevaert, O., Xu, J., Hoang, C. D., Leung, A. N., Xu, Y., Quon, A., Rubin, D. L., Napel, S., & Plevritis, S. K. (2012) · Radiology · doi:10.1148/radiol.12111607 · Cited by 398
Radiogenomics: Creating a link between molecular diagnostics and diagnostic imaging
Rutman, A. M., & Kuo, M. D. (2009) · European Journal of Radiology · doi:10.1016/j.ejrad.2009.01.050 · Cited by 321
Glioblastoma Multiforme: Exploratory Radiogenomic Analysis by Using Quantitative Image Features
Gevaert, O., Mitchell, L. A., Achrol, A. S., Xu, J., Echegaray, S., Steinberg, G. K., Cheshier, S. H., Napel, S., Zaharchuk, G., & Plevritis, S. K. (2014) · Radiology · doi:10.1148/radiol.14131731 · Cited by 319
Cited by
Bakas, S., Akbari, H., Sotiras, A., Bilello, M., Rozycki, M., Kirby, J. S., Freymann, J. B., Farahani, K., & Davatzikos, C. (2017) · Scientific Data · doi:10.1038/sdata.2017.117 · Cited by 3,049
Huang, Y.-Q., Liang, C.-H., He, L., Tian, J., Liang, C.-S., Chen, X., Ma, Z.-L., & Liu, Z.-Y. (2016) · Journal of Clinical Oncology · doi:10.1200/jco.2015.65.9128 · Cited by 1,765
Predicting cancer outcomes with radiomics and artificial intelligence in radiology
Bera, K., Braman, N., Gupta, A., Velcheti, V., & Madabhushi, A. (2022) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-021-00560-7 · Cited by 819
Mazurowski, M. A., Buda, M., Saha, A., & Bashir, M. R. (2019) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.26534 · Cited by 554
Self-citationEconomics of artificial intelligence in healthcare: Diagnosis vs. treatment
Khanna, N. N., Maindarkar, M. A., Viswanathan, V., Fernandes, J. F. E., Paul, S., Bhagawati, M., Ahluwalia, P., Ruzsa, Z., Sharma, A., Kolluri, R., et al. (2022) · Healthcare · doi:10.3390/healthcare10122493 · Cited by 347
Metadata
- Authors
- Mazurowski, M. A.
- Venue
- Journal of the American College of Radiology
- Publisher
- Elsevier BV
- Published
- 2015-08
- Volume
- 12
- Issue
- 8
- Pages
- 862-866
- ISSN
- 1546-1440 (ISSN-L)
- OpenAlex
- W1860015181
- Cited by
- 290
- References
- 25
- FWCI
- 14.29
- Type
- journal article
- Language
- en
- Open access
- closed
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- Mazurowski, M. A. (2015). Radiogenomics: What It Is and Why It Is Important. Journal of the American College of Radiology. https://doi.org/10.1016/j.jacr.2015.04.019
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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.