Velazquez, Emmanuel Rios
Brigham and Women's Hospital · Harvard University · Dana-Farber Cancer Institute · Dana-Farber Brigham Cancer Center
2 papers on CoChat
Most cited papers
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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
Radiomics and Machine Learning in Medical ImagingImage Retrieval and Classification Techniques
Cited by 5,132
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Quantitative Computed Tomographic Descriptors Associate Tumor Shape Complexity and Intratumor Heterogeneity with Prognosis in Lung Adenocarcinoma
Grove, O., Berglund, A. E., Schabath, M. B., Aerts, H. J. W. L., Dekker, A., Wang, H., Velazquez, E. R., Lambin, P., Gu, Y., Balagurunathan, Y., et al. (2015) · PLOS ONE
Radiomics and Machine Learning in Medical ImagingAI in cancer detection
Cited by 263
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