Tai D - Search Results

1

Digital pathology with artificial intelligence analyses provides greater insights into treatment-induced fibrosis regression in NASH.

Naoumov NV, Brees D, Loeffler J, Chng E, Ren Y, Lopez P, Tai D, Lamle S, Sanyal AJ. Naoumov NV, et al. Among authors: tai d. J Hepatol. 2022 Nov;77(5):1399-1409. doi: 10.1016/j.jhep.2022.06.018. Epub 2022 Jun 30. J Hepatol. 2022. PMID: 35779659 Free article.

2

Complexity of ballooned hepatocyte feature recognition: Defining a training atlas for artificial intelligence-based imaging in NAFLD.

Brunt EM, Clouston AD, Goodman Z, Guy C, Kleiner DE, Lackner C, Tiniakos DG, Wee A, Yeh M, Leow WQ, Chng E, Ren Y, Boon Bee GG, Powell EE, Rinella M, Sanyal AJ, Neuschwander-Tetri B, Younossi Z, Charlton M, Ratziu V, Harrison SA, Tai D, Anstee QM. Brunt EM, et al. Among authors: tai d. J Hepatol. 2022 May;76(5):1030-1041. doi: 10.1016/j.jhep.2022.01.011. Epub 2022 Jan 25. J Hepatol. 2022. PMID: 35090960 Free PMC article.

3

qFibrosis: a fully-quantitative innovative method incorporating histological features to facilitate accurate fibrosis scoring in animal model and chronic hepatitis B patients.

Xu S, Wang Y, Tai DCS, Wang S, Cheng CL, Peng Q, Yan J, Chen Y, Sun J, Liang X, Zhu Y, Rajapakse JC, Welsch RE, So PTC, Wee A, Hou J, Yu H. Xu S, et al. J Hepatol. 2014 Aug;61(2):260-269. doi: 10.1016/j.jhep.2014.02.015. Epub 2014 Feb 26. J Hepatol. 2014. PMID: 24583249 Free PMC article.

4

Automated scoring of liver fibrosis through combined features from different collagen groups.

Xu S, Tai D, Wee A, Welsch R, So P, Yu H, Rajapakse J. Xu S, et al. Among authors: tai d. Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:4503-6. doi: 10.1109/IEMBS.2011.6091116. Annu Int Conf IEEE Eng Med Biol Soc. 2011. PMID: 22255339

5

Toward surface quantification of liver fibrosis progression.

He Y, Kang CH, Xu S, Tuo X, Trasti S, Tai DC, Raja AM, Peng Q, So PT, Rajapakse JC, Welsch R, Yu H. He Y, et al. J Biomed Opt. 2010 Sep-Oct;15(5):056007. doi: 10.1117/1.3490414. J Biomed Opt. 2010. PMID: 21054101 Free article.

6

Assessment of liver steatosis and fibrosis in rats using integrated coherent anti-Stokes Raman scattering and multiphoton imaging technique.

Lin J, Lu F, Zheng W, Xu S, Tai D, Yu H, Huang Z. Lin J, et al. Among authors: tai d. J Biomed Opt. 2011 Nov;16(11):116024. doi: 10.1117/1.3655353. J Biomed Opt. 2011. PMID: 22112129 Free article.

7

Nonlinear optical microscopy: use of second harmonic generation and two-photon microscopy for automated quantitative liver fibrosis studies.

Sun W, Chang S, Tai DC, Tan N, Xiao G, Tang H, Yu H. Sun W, et al. J Biomed Opt. 2008 Nov-Dec;13(6):064010. doi: 10.1117/1.3041159. J Biomed Opt. 2008. PMID: 19123657 Free article.

8

Fibro-C-Index: comprehensive, morphology-based quantification of liver fibrosis using second harmonic generation and two-photon microscopy.

Tai DC, Tan N, Xu S, Kang CH, Chia SM, Cheng CL, Wee A, Wei CL, Raja AM, Xiao G, Chang S, Rajapakse JC, So PT, Tang HH, Chen CS, Yu H. Tai DC, et al. J Biomed Opt. 2009 Jul-Aug;14(4):044013. doi: 10.1117/1.3183811. J Biomed Opt. 2009. PMID: 19725725 Free article.

9

Differential remodeling of extracellular matrices by breast cancer initiating cells.

Raja AM, Xu S, Zhuo S, Tai DC, Sun W, So PT, Welsch RE, Chen CS, Yu H. Raja AM, et al. J Biophotonics. 2015 Oct;8(10):804-15. doi: 10.1002/jbio.201400079. Epub 2015 Jan 19. J Biophotonics. 2015. PMID: 25597396 Free PMC article.

10

Pulse-modulated second harmonic imaging microscope quantitatively demonstrates marked increase of collagen in tumor after chemotherapy.

Raja AM, Xu S, Sun W, Zhou J, Tai DC, Chen CS, Rajapakse JC, So PT, Yu H. Raja AM, et al. J Biomed Opt. 2010 Sep-Oct;15(5):056016. doi: 10.1117/1.3497565. J Biomed Opt. 2010. PMID: 21054110 Free article.

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