1. Hodgdon T, McInnes MDF, Schieda N, Flood TA, Lamb L, Thornhill RE. Can quantitative CT texture analysis differentiate fat poor renal angiomyolipoma from renal cell carcinoma on unenhanced computed tomography? Radiology 2015;276(3):787-796.
2. Thornhill RE, Lum C, Jaberi A, Stefanski P, Torres CH, Momoli F, Petrcich W, Dowlatshahi D. Can Shape analysis differentiate free-floating internal carotid artery thrombus from atherosclerotic plaque in patients evaluated with CTA for stroke or transient ischemic attack? Acad Radiol 2014;21(3):345-354.
3. Kassner A, Thornhill RE. Texture Analysis: a Review of Neurologic MR Imaging Applications. AJNR Am J Neuroradiol 2010;31:809-816.
4. Thornhill RE, Prato FS, Wisenberg G. The assessment of myocardial viability: a review of current diagnostic imaging approaches. J Cardiovasc Magn Reson 2002;4:381-41
5. Schieda N, Nguyen K, Thornhill RE, McInnes MDF, Wu M, James N. Importance of phase of enhancement for machine learning classification of solid renal masses using texture analysis features at multi-phasic CT. Abdom Radiol 2020;45:2786-2796. Doi: 10.1007/s00261-020-02632-1.

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