Quantitative computed tomography texture analyses for anterior mediastinal masses: Differentiation between solid masses and cysts

Yasaka, K. et al., (2018)

European Journal of Radiology. Elsevier, 100, pp. 85–91. doi: 10.1016/J.EJRAD.2018.01.017

CT Texture Analysis: Definitions, Applications, Biologic Correlates, and Challenges

Lubner, M. G. et al., (2017)

RadioGraphics, 37(5), pp. 1483–1503. doi: 10.1148/rg.2017170056

CT texture analysis: a potential tool for prediction of survival in patients with metastatic clear cell carcinoma treated with sunitinib

Haider, M. A. et al., (2017)

Cancer Imaging, 17(1), p. 4. doi: 10.1186/s40644-017-0106-8

In Vivo Imaging of Tau Pathology Using Magnetic Resonance Imaging Textural Analysis.

Colgan, N. et al., (2017)

Frontiers in neuroscience. Frontiers Media SA, 11, p. 599. doi: 10.3389/fnins.2017.00599.

Can CT measures of tumour heterogeneity stratify risk for nodal metastasis in patients with non-small cell lung cancer?

Craigie, M. et al., (2017)

Clinical radiology. Elsevier, 72(10), p. 899.e1-899.e7. doi: 10.1016/j.crad.2017.04.013.

Impact of hepatocellular carcinoma heterogeneity on computed tomography as a prognostic indicator

Kiryu, S. et al., (2017)

Nature, 7(1), p. 12689. doi: 10.1038/s41598-017-12688-7

Features from Computerized Texture Analysis of Breast Cancers at Pretreatment MR Imaging Are Associated with Response to Neoadjuvant Chemotherapy.

Chamming’s, F. et al., (2017)

Radiology. Radiological Society of North America, p. 170143. doi: 10.1148/radiol.2017170143.

Texture analysis of the liver at MDCT for assessing hepatic fibrosis.

Lubner, M. G. et al., (2017)

Abdominal Radiology, 42(8), pp. 2069–2078. doi: 10.1007/s00261-017-1096-5.