Cook TS - Search Results

1

Pulmonary kinematics from image data: a review.

Tustison NJ, Cook TS, Song G, Gee JC. Tustison NJ, et al. Among authors: cook ts. Acad Radiol. 2011 Apr;18(4):402-17. doi: 10.1016/j.acra.2010.10.019. Acad Radiol. 2011. PMID: 21377592 Review.

2

How do registration parameters affect quantitation of lung kinematics?

Cook TS, Tustison N, Biederer J, Tetzlaff R, Gee J. Cook TS, et al. Med Image Comput Comput Assist Interv. 2007;10(Pt 1):817-24. doi: 10.1007/978-3-540-75757-3_99. Med Image Comput Comput Assist Interv. 2007. PMID: 18051134

3

A new information-theoretic measure to control the robustness-sensitivity trade-off for DMFFD point-set registration.

Tustison NJ, Awate SP, Song G, Cook TS, Gee JC. Tustison NJ, et al. Among authors: cook ts. Inf Process Med Imaging. 2009;21:215-26. doi: 10.1007/978-3-642-02498-6_18. Inf Process Med Imaging. 2009. PMID: 19694265

4

Point set registration using Havrda-Charvat-Tsallis entropy measures.

Tustison NJ, Awate SP, Song G, Cook TS, Gee JC. Tustison NJ, et al. Among authors: cook ts. IEEE Trans Med Imaging. 2011 Feb;30(2):451-60. doi: 10.1109/TMI.2010.2086065. Epub 2010 Oct 11. IEEE Trans Med Imaging. 2011. PMID: 20937578

5

A Roadmap for Foundational Research on Artificial Intelligence in Medical Imaging: From the 2018 NIH/RSNA/ACR/The Academy Workshop.

Langlotz CP, Allen B, Erickson BJ, Kalpathy-Cramer J, Bigelow K, Cook TS, Flanders AE, Lungren MP, Mendelson DS, Rudie JD, Wang G, Kandarpa K. Langlotz CP, et al. Among authors: cook ts. Radiology. 2019 Jun;291(3):781-791. doi: 10.1148/radiol.2019190613. Epub 2019 Apr 16. Radiology. 2019. PMID: 30990384 Free PMC article.

6

Automated Segmentation of Tissues Using CT and MRI: A Systematic Review.

Lenchik L, Heacock L, Weaver AA, Boutin RD, Cook TS, Itri J, Filippi CG, Gullapalli RP, Lee J, Zagurovskaya M, Retson T, Godwin K, Nicholson J, Narayana PA. Lenchik L, et al. Among authors: cook ts. Acad Radiol. 2019 Dec;26(12):1695-1706. doi: 10.1016/j.acra.2019.07.006. Epub 2019 Aug 10. Acad Radiol. 2019. PMID: 31405724 Free PMC article.

7

Subspecialty-Level Deep Gray Matter Differential Diagnoses with Deep Learning and Bayesian Networks on Clinical Brain MRI: A Pilot Study.

Rudie JD, Rauschecker AM, Xie L, Wang J, Duong MT, Botzolakis EJ, Kovalovich A, Egan JM, Cook T, Bryan RN, Nasrallah IM, Mohan S, Gee JC. Rudie JD, et al. Radiol Artif Intell. 2020 Sep 23;2(5):e190146. doi: 10.1148/ryai.2020190146. eCollection 2020 Sep. Radiol Artif Intell. 2020. PMID: 33937838 Free PMC article.

8

Brain MRI Deep Learning and Bayesian Inference System Augments Radiology Resident Performance.

Rudie JD, Duda J, Duong MT, Chen PH, Xie L, Kurtz R, Ware JB, Choi J, Mattay RR, Botzolakis EJ, Gee JC, Bryan RN, Cook TS, Mohan S, Nasrallah IM, Rauschecker AM. Rudie JD, et al. Among authors: cook ts. J Digit Imaging. 2021 Aug;34(4):1049-1058. doi: 10.1007/s10278-021-00470-1. Epub 2021 Jun 15. J Digit Imaging. 2021. PMID: 34131794 Free PMC article.

9

Assessment of follow-up completeness and notification preferences for imaging findings of possible cancer: what happens after radiologists submit their reports?

Sloan CE, Chadalavada SC, Cook TS, Langlotz CP, Schnall MD, Zafar HM. Sloan CE, et al. Among authors: cook ts. Acad Radiol. 2014 Dec;21(12):1579-86. doi: 10.1016/j.acra.2014.07.006. Epub 2014 Aug 30. Acad Radiol. 2014. PMID: 25179562 Free PMC article.

10

Milestones on a Shoestring: A Cost-Effective, Semi-automated Implementation of the New ACGME Requirements for Radiology.

Schmitt JE, Scanlon MH, Servaes S, Levin D, Cook TS. Schmitt JE, et al. Among authors: cook ts. Acad Radiol. 2015 Oct;22(10):1287-93. doi: 10.1016/j.acra.2015.02.013. Epub 2015 Apr 24. Acad Radiol. 2015. PMID: 25920551 Free PMC article.

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