Bradshaw TJ - Search Results

1

Comparison of 11 automated PET segmentation methods in lymphoma.

Weisman AJ, Kieler MW, Perlman S, Hutchings M, Jeraj R, Kostakoglu L, Bradshaw TJ. Weisman AJ, et al. Among authors: bradshaw tj. Phys Med Biol. 2020 Nov 27;65(23):235019. doi: 10.1088/1361-6560/abb6bd. Phys Med Biol. 2020. PMID: 32906088

2

Heterogeneity in intratumor correlations of 18F-FDG, 18F-FLT, and 61Cu-ATSM PET in canine sinonasal tumors.

Bradshaw TJ, Bowen SR, Jallow N, Forrest LJ, Jeraj R. Bradshaw TJ, et al. J Nucl Med. 2013 Nov;54(11):1931-7. doi: 10.2967/jnumed.113.121921. Epub 2013 Sep 16. J Nucl Med. 2013. PMID: 24042031 Free PMC article.

3

Spatiotemporal stability of Cu-ATSM and FLT positron emission tomography distributions during radiation therapy.

Bradshaw TJ, Yip S, Jallow N, Forrest LJ, Jeraj R. Bradshaw TJ, et al. Int J Radiat Oncol Biol Phys. 2014 Jun 1;89(2):399-405. doi: 10.1016/j.ijrobp.2014.02.016. Epub 2014 Mar 28. Int J Radiat Oncol Biol Phys. 2014. PMID: 24685446 Free PMC article.

4

Molecular imaging biomarkers of resistance to radiation therapy for spontaneous nasal tumors in canines.

Bradshaw TJ, Bowen SR, Deveau MA, Kubicek L, White P, Bentzen SM, Chappell RJ, Forrest LJ, Jeraj R. Bradshaw TJ, et al. Int J Radiat Oncol Biol Phys. 2015 Mar 15;91(4):787-95. doi: 10.1016/j.ijrobp.2014.12.011. Int J Radiat Oncol Biol Phys. 2015. PMID: 25752393 Free PMC article.

5

Predicting location of recurrence using FDG, FLT, and Cu-ATSM PET in canine sinonasal tumors treated with radiotherapy.

Bradshaw T, Fu R, Bowen S, Zhu J, Forrest L, Jeraj R. Bradshaw T, et al. Phys Med Biol. 2015 Jul 7;60(13):5211-24. doi: 10.1088/0031-9155/60/13/5211. Epub 2015 Jun 17. Phys Med Biol. 2015. PMID: 26083082 Free PMC article.

6

Molecular Imaging to Plan Radiotherapy and Evaluate Its Efficacy.

Jeraj R, Bradshaw T, Simončič U. Jeraj R, et al. J Nucl Med. 2015 Nov;56(11):1752-65. doi: 10.2967/jnumed.114.141424. Epub 2015 Sep 17. J Nucl Med. 2015. PMID: 26383148 Free article. Review.

7

Repeatability of Quantitative 18F-NaF PET: A Multicenter Study.

Lin C, Bradshaw T, Perk T, Harmon S, Eickhoff J, Jallow N, Choyke PL, Dahut WL, Larson S, Humm JL, Perlman S, Apolo AB, Morris MJ, Liu G, Jeraj R. Lin C, et al. J Nucl Med. 2016 Dec;57(12):1872-1879. doi: 10.2967/jnumed.116.177295. Epub 2016 Jul 21. J Nucl Med. 2016. PMID: 27445292 Free PMC article. Clinical Trial.

8

Deep Learning MR Imaging-based Attenuation Correction for PET/MR Imaging.

Liu F, Jang H, Kijowski R, Bradshaw T, McMillan AB. Liu F, et al. Radiology. 2018 Feb;286(2):676-684. doi: 10.1148/radiol.2017170700. Epub 2017 Sep 19. Radiology. 2018. PMID: 28925823 Free PMC article.

9

Rapid dual-echo ramped hybrid encoding MR-based attenuation correction (dRHE-MRAC) for PET/MR.

Jang H, Liu F, Bradshaw T, McMillan AB. Jang H, et al. Magn Reson Med. 2018 Jun;79(6):2912-2922. doi: 10.1002/mrm.26953. Epub 2017 Oct 2. Magn Reson Med. 2018. PMID: 28971513 Free PMC article.

10

A novel approach for quantitative harmonization in PET.

Namías M, Bradshaw T, Menezes VO, Machado MAD, Jeraj R. Namías M, et al. Phys Med Biol. 2018 May 4;63(9):095019. doi: 10.1088/1361-6560/aabb5f. Phys Med Biol. 2018. PMID: 29726406

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