Thai T - Search Results

1

Imaging biomarkers of adiposity and sarcopenia as potential predictors for overall survival among patients with endometrial cancer treated with bevacizumab.

Gillen J, Mills KA, Dvorak J, Zheng B, Thai T, Salani R, Cosgrove CM, Davidson B, Thaker PH, Moore KN. Gillen J, et al. Among authors: thai t. Gynecol Oncol Rep. 2019 Oct 5;30:100502. doi: 10.1016/j.gore.2019.100502. eCollection 2019 Nov. Gynecol Oncol Rep. 2019. PMID: 31720357 Free PMC article.

2

Measurements of adiposity as clinical biomarkers for first-line bevacizumab-based chemotherapy in epithelial ovarian cancer.

Slaughter KN, Thai T, Penaroza S, Benbrook DM, Thavathiru E, Ding K, Nelson T, McMeekin DS, Moore KN. Slaughter KN, et al. Among authors: thai t. Gynecol Oncol. 2014 Apr;133(1):11-5. doi: 10.1016/j.ygyno.2014.01.031. Gynecol Oncol. 2014. PMID: 24680585

3

A New Approach to Evaluate Drug Treatment Response of Ovarian Cancer Patients Based on Deformable Image Registration.

Tan M, Li Z, Qiu Y, McMeekin SD, Thai TC, Ding K, Moore KN, Liu H, Zheng B. Tan M, et al. IEEE Trans Med Imaging. 2016 Jan;35(1):316-25. doi: 10.1109/TMI.2015.2473823. Epub 2015 Aug 27. IEEE Trans Med Imaging. 2016. PMID: 26336119 Free PMC article.

4

Early prediction of clinical benefit of treating ovarian cancer using quantitative CT image feature analysis.

Qiu Y, Tan M, McMeekin S, Thai T, Ding K, Moore K, Liu H, Zheng B. Qiu Y, et al. Among authors: thai t. Acta Radiol. 2016 Sep;57(9):1149-55. doi: 10.1177/0284185115620947. Epub 2015 Dec 11. Acta Radiol. 2016. PMID: 26663390 Free PMC article.

5

Quantitative measurement of adiposity using CT images to predict the benefit of bevacizumab-based chemotherapy in epithelial ovarian cancer patients.

Wang Y, Thai T, Moore K, Ding K, McMeekin S, Liu H, Zheng B. Wang Y, et al. Among authors: thai t. Oncol Lett. 2016 Jul;12(1):680-686. doi: 10.3892/ol.2016.4648. Epub 2016 May 31. Oncol Lett. 2016. PMID: 27347200 Free PMC article.

6

Applying a computer-aided scheme to detect a new radiographic image marker for prediction of chemotherapy outcome.

Wang Y, Qiu Y, Thai T, Moore K, Liu H, Zheng B. Wang Y, et al. Among authors: thai t. BMC Med Imaging. 2016 Aug 31;16(1):52. doi: 10.1186/s12880-016-0157-5. BMC Med Imaging. 2016. PMID: 27581075 Free PMC article.

7

A two-step convolutional neural network based computer-aided detection scheme for automatically segmenting adipose tissue volume depicting on CT images.

Wang Y, Qiu Y, Thai T, Moore K, Liu H, Zheng B. Wang Y, et al. Among authors: thai t. Comput Methods Programs Biomed. 2017 Jun;144:97-104. doi: 10.1016/j.cmpb.2017.03.017. Epub 2017 Mar 21. Comput Methods Programs Biomed. 2017. PMID: 28495009 Free PMC article.

8

Applying Quantitative CT Image Feature Analysis to Predict Response of Ovarian Cancer Patients to Chemotherapy.

Danala G, Thai T, Gunderson CC, Moxley KM, Moore K, Mannel RS, Liu H, Zheng B, Qiu Y. Danala G, et al. Among authors: thai t. Acad Radiol. 2017 Oct;24(10):1233-1239. doi: 10.1016/j.acra.2017.04.014. Epub 2017 May 26. Acad Radiol. 2017. PMID: 28554551 Free PMC article.

9

Prediction of chemotherapy response in ovarian cancer patients using a new clustered quantitative image marker.

Zargari A, Du Y, Heidari M, Thai TC, Gunderson CC, Moore K, Mannel RS, Liu H, Zheng B, Qiu Y. Zargari A, et al. Phys Med Biol. 2018 Aug 6;63(15):155020. doi: 10.1088/1361-6560/aad3ab. Phys Med Biol. 2018. PMID: 30010611 Free PMC article.

10

Classification of Tumor Epithelium and Stroma by Exploiting Image Features Learned by Deep Convolutional Neural Networks.

Du Y, Zhang R, Zargari A, Thai TC, Gunderson CC, Moxley KM, Liu H, Zheng B, Qiu Y. Du Y, et al. Ann Biomed Eng. 2018 Dec;46(12):1988-1999. doi: 10.1007/s10439-018-2095-6. Epub 2018 Jul 26. Ann Biomed Eng. 2018. PMID: 30051247 Free PMC article.

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