Kuo, Michael D.

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

Radiomics and Machine Learning in Medical ImagingMedical Imaging Techniques and Applications

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Identification of noninvasive imaging surrogates for brain tumor gene-expression modules

Diehn, M., Nardini, C., Wang, D. S., McGovern, S., Jayaraman, M., Liang, Y., Aldape, K., Cha, S., & Kuo, M. D. (2008) · Proceedings of the National Academy of Sciences

Glioma Diagnosis and TreatmentRadiomics and Machine Learning in Medical Imaging

Cited by 440

Radiogenomic Analysis to Identify Imaging Phenotypes Associated with Drug Response Gene Expression Programs in Hepatocellular Carcinoma

Kuo, M. D., Gollub, J., Sirlin, C. B., Ooi, C., & Chen, X. (2007) · Journal of Vascular and Interventional Radiology

Radiomics and Machine Learning in Medical ImagingHepatocellular Carcinoma Treatment and Prognosis

Cited by 168