Li Z - Search Results

1

Semiautomatic Assessment of the Terminal Ileum and Colon in Patients with Crohn Disease Using MRI (the VIGOR++ Project).

Puylaert CAJ, Schüffler PJ, Naziroglu RE, Tielbeek JAW, Li Z, Makanyanga JC, Tutein Nolthenius CJ, Nio CY, Pendsé DA, Menys A, Ponsioen CY, Atkinson D, Forbes A, Buhmann JM, Fuchs TJ, Hatzakis H, van Vliet LJ, Stoker J, Taylor SA, Vos FM. Puylaert CAJ, et al. Among authors: li z. Acad Radiol. 2018 Aug;25(8):1038-1045. doi: 10.1016/j.acra.2017.12.024. Epub 2018 Feb 7. Acad Radiol. 2018. PMID: 29428210 Free PMC article.

2

Computational modeling for assessment of IBD: to be or not to be?

Vos FM, Tielbeek JA, Naziroglu RE, Li Z, Schueffler P, Mahapatra D, Wiebel A, Lavini C, Buhmann JM, Hege HC, Stoker J, van Vliet LJ. Vos FM, et al. Among authors: li z. Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:3974-7. doi: 10.1109/EMBC.2012.6346837. Annu Int Conf IEEE Eng Med Biol Soc. 2012. PMID: 23366798

3

Evaluation of conventional, dynamic contrast enhanced and diffusion weighted MRI for quantitative Crohn's disease assessment with histopathology of surgical specimens.

Tielbeek JA, Ziech ML, Li Z, Lavini C, Bipat S, Bemelman WA, Roelofs JJ, Ponsioen CY, Vos FM, Stoker J. Tielbeek JA, et al. Among authors: li z. Eur Radiol. 2014 Mar;24(3):619-29. doi: 10.1007/s00330-013-3015-7. Epub 2013 Sep 15. Eur Radiol. 2014. PMID: 24037299 Clinical Trial.

4

Expiration-phase template-based motion correction of free-breathing abdominal dynamic contrast enhanced MRI.

Li Z, Tielbeek JAW, Caan MWA, Puylaert CAJ, Ziech MLW, Nio CY, Stoker J, van Vliet LJ, Vos FM. Li Z, et al. IEEE Trans Biomed Eng. 2015 Apr;62(4):1215-1225. doi: 10.1109/TBME.2014.2385307. Epub 2014 Dec 23. IEEE Trans Biomed Eng. 2015. PMID: 25546851

5

A hybrid optimization strategy for registering images with large local deformations and intensity variations.

Li Z, van Vliet LJ, Stoker J, Vos FM. Li Z, et al. Int J Comput Assist Radiol Surg. 2018 Mar;13(3):343-351. doi: 10.1007/s11548-017-1697-z. Epub 2017 Dec 30. Int J Comput Assist Radiol Surg. 2018. PMID: 29290025

6

Image Registration Based on Autocorrelation of Local Structure.

Li Z, Mahapatra D, Tielbeek JA, Stoker J, van Vliet LJ, Vos FM. Li Z, et al. IEEE Trans Med Imaging. 2016 Jan;35(1):63-75. doi: 10.1109/TMI.2015.2455416. Epub 2015 Jul 13. IEEE Trans Med Imaging. 2016. PMID: 26186771

7

Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images-The ACDC@LungHP Challenge 2019.

Li Z, Zhang J, Tan T, Teng X, Sun X, Zhao H, Liu L, Xiao Y, Lee B, Li Y, Zhang Q, Sun S, Zheng Y, Yan J, Li N, Hong Y, Ko J, Jung H, Liu Y, Chen YC, Wang CW, Yurovskiy V, Maevskikh P, Khanagha V, Jiang Y, Yu L, Liu Z, Li D, Schuffler PJ, Yu Q, Chen H, Tang Y, Litjens G. Li Z, et al. Among authors: li d, li y, li n. IEEE J Biomed Health Inform. 2021 Feb;25(2):429-440. doi: 10.1109/JBHI.2020.3039741. Epub 2021 Feb 5. IEEE J Biomed Health Inform. 2021. PMID: 33216724 Review.

8

From community-acquired pneumonia to COVID-19: a deep learning-based method for quantitative analysis of COVID-19 on thick-section CT scans.

Li Z, Zhong Z, Li Y, Zhang T, Gao L, Jin D, Sun Y, Ye X, Yu L, Hu Z, Xiao J, Huang L, Tang Y. Li Z, et al. Among authors: li y. Eur Radiol. 2020 Dec;30(12):6828-6837. doi: 10.1007/s00330-020-07042-x. Epub 2020 Jul 18. Eur Radiol. 2020. PMID: 32683550 Free PMC article.

9

Detection and staging of chronic obstructive pulmonary disease using a computed tomography-based weakly supervised deep learning approach.

Sun J, Liao X, Yan Y, Zhang X, Sun J, Tan W, Liu B, Wu J, Guo Q, Gao S, Li Z, Wang K, Li Q. Sun J, et al. Among authors: li z, li q. Eur Radiol. 2022 Aug;32(8):5319-5329. doi: 10.1007/s00330-022-08632-7. Epub 2022 Feb 24. Eur Radiol. 2022. PMID: 35201409

10

Correction to: Detection and staging of chronic obstructive pulmonary disease using a computed tomography-based weakly supervised deep learning approach.

Sun J, Liao X, Yan Y, Zhang X, Sun J, Tan W, Liu B, Wu J, Guo Q, Gao S, Li Z, Wang K, Li Q. Sun J, et al. Among authors: li z, li q. Eur Radiol. 2022 Aug;32(8):5785. doi: 10.1007/s00330-022-08693-8. Eur Radiol. 2022. PMID: 35320414 No abstract available.

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