Mackin D - Search Results

1

Intrinsic dependencies of CT radiomic features on voxel size and number of gray levels.

Shafiq-Ul-Hassan M, Zhang GG, Latifi K, Ullah G, Hunt DC, Balagurunathan Y, Abdalah MA, Schabath MB, Goldgof DG, Mackin D, Court LE, Gillies RJ, Moros EG. Shafiq-Ul-Hassan M, et al. Among authors: mackin d. Med Phys. 2017 Mar;44(3):1050-1062. doi: 10.1002/mp.12123. Med Phys. 2017. PMID: 28112418 Free PMC article.

2

Technical Note: Proof of concept for radiomics-based quality assurance for computed tomography.

Branco LRF, Ger RB, Mackin DS, Zhou S, Court LE, Layman RR. Branco LRF, et al. J Appl Clin Med Phys. 2019 Nov;20(11):199-205. doi: 10.1002/acm2.12750. Epub 2019 Oct 14. J Appl Clin Med Phys. 2019. PMID: 31609076 Free PMC article.

3

Precision of quantitative computed tomography texture analysis using image filtering: A phantom study for scanner variability.

Yasaka K, Akai H, Mackin D, Court L, Moros E, Ohtomo K, Kiryu S. Yasaka K, et al. Among authors: mackin d. Medicine (Baltimore). 2017 May;96(21):e6993. doi: 10.1097/MD.0000000000006993. Medicine (Baltimore). 2017. PMID: 28538408 Free PMC article.

4

Can radiomics features be reproducibly measured from CBCT images for patients with non-small cell lung cancer?

Fave X, Mackin D, Yang J, Zhang J, Fried D, Balter P, Followill D, Gomez D, Jones AK, Stingo F, Fontenot J, Court L. Fave X, et al. Among authors: mackin d. Med Phys. 2015 Dec;42(12):6784-97. doi: 10.1118/1.4934826. Med Phys. 2015. PMID: 26632036 Free PMC article. Clinical Trial.

5

Harmonizing the pixel size in retrospective computed tomography radiomics studies.

Mackin D, Fave X, Zhang L, Yang J, Jones AK, Ng CS, Court L. Mackin D, et al. PLoS One. 2017 Sep 21;12(9):e0178524. doi: 10.1371/journal.pone.0178524. eCollection 2017. PLoS One. 2017. PMID: 28934225 Free PMC article.

6

Effect of tube current on computed tomography radiomic features.

Mackin D, Ger R, Dodge C, Fave X, Chi PC, Zhang L, Yang J, Bache S, Dodge C, Jones AK, Court L. Mackin D, et al. Sci Rep. 2018 Feb 5;8(1):2354. doi: 10.1038/s41598-018-20713-6. Sci Rep. 2018. PMID: 29403060 Free PMC article.

7

Matching and Homogenizing Convolution Kernels for Quantitative Studies in Computed Tomography.

Mackin D, Ger R, Gay S, Dodge C, Zhang L, Yang J, Jones AK, Court L. Mackin D, et al. Invest Radiol. 2019 May;54(5):288-295. doi: 10.1097/RLI.0000000000000540. Invest Radiol. 2019. PMID: 30570504 Free PMC article.

8

Measuring Computed Tomography Scanner Variability of Radiomics Features.

Mackin D, Fave X, Zhang L, Fried D, Yang J, Taylor B, Rodriguez-Rivera E, Dodge C, Jones AK, Court L. Mackin D, et al. Invest Radiol. 2015 Nov;50(11):757-65. doi: 10.1097/RLI.0000000000000180. Invest Radiol. 2015. PMID: 26115366 Free PMC article.

9

Practical guidelines for handling head and neck computed tomography artifacts for quantitative image analysis.

Ger RB, Craft DF, Mackin DS, Zhou S, Layman RR, Jones AK, Elhalawani H, Fuller CD, Howell RM, Li H, Stafford RJ, Court LE. Ger RB, et al. Among authors: mackin ds. Comput Med Imaging Graph. 2018 Nov;69:134-139. doi: 10.1016/j.compmedimag.2018.09.002. Epub 2018 Sep 15. Comput Med Imaging Graph. 2018. PMID: 30268005 Free PMC article.

10

Delta-radiomics features for the prediction of patient outcomes in non-small cell lung cancer.

Fave X, Zhang L, Yang J, Mackin D, Balter P, Gomez D, Followill D, Jones AK, Stingo F, Liao Z, Mohan R, Court L. Fave X, et al. Among authors: mackin d. Sci Rep. 2017 Apr 3;7(1):588. doi: 10.1038/s41598-017-00665-z. Sci Rep. 2017. PMID: 28373718 Free PMC article.

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