Li J - Search Results

1

Application of Deep Learning to Reduce the Rate of Malignancy Among BI-RADS 4A Breast Lesions Based on Ultrasonography.

Zhao Z, Hou S, Li S, Sheng D, Liu Q, Chang C, Chen J, Li J. Zhao Z, et al. Among authors: li s, li j. Ultrasound Med Biol. 2022 Nov;48(11):2267-2275. doi: 10.1016/j.ultrasmedbio.2022.06.019. Epub 2022 Aug 30. Ultrasound Med Biol. 2022. PMID: 36055860 Clinical Trial.

2

Is Ultrasonography More Sensitive Than Computed Tomography for Identifying Calcifications in Thyroid Nodules?

Li JW, Chang C, Chen M, Zeng W, Gao Y, Zhou SC, Wang F, Hu N, Chen YL. Li JW, et al. J Ultrasound Med. 2016 Oct;35(10):2183-90. doi: 10.7863/ultra.15.10060. Epub 2016 Aug 25. J Ultrasound Med. 2016. PMID: 27562974

3

Reproducibility of quantitative high-throughput BI-RADS features extracted from ultrasound images of breast cancer.

Hu Y, Qiao M, Guo Y, Wang Y, Yu J, Li J, Chang C. Hu Y, et al. Among authors: li j. Med Phys. 2017 Jul;44(7):3676-3685. doi: 10.1002/mp.12275. Epub 2017 May 16. Med Phys. 2017. PMID: 28409843

4

Radiomics Analysis on Ultrasound for Prediction of Biologic Behavior in Breast Invasive Ductal Carcinoma.

Guo Y, Hu Y, Qiao M, Wang Y, Yu J, Li J, Chang C. Guo Y, et al. Among authors: li j. Clin Breast Cancer. 2018 Jun;18(3):e335-e344. doi: 10.1016/j.clbc.2017.08.002. Epub 2017 Aug 18. Clin Breast Cancer. 2018. PMID: 28890183

5

Does Lesion Size Affect the Value of Shear Wave Elastography for Differentiating Between Benign and Malignant Thyroid Nodules?

Wang F, Chang C, Chen M, Gao Y, Chen YL, Zhou SC, Li JW, Zhi WX. Wang F, et al. J Ultrasound Med. 2018 Mar;37(3):601-609. doi: 10.1002/jum.14367. Epub 2017 Sep 14. J Ultrasound Med. 2018. PMID: 28906009

6

[Feasibility analysis of predicting expression of estrogen receptor in breast cancer based on radiomics].

Liu T, Li J, Hu Y, Yu J, Guo Y, Wang Y, Chang C. Liu T, et al. Among authors: li j. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2017 Aug 25;34(4):597-601. doi: 10.7507/1001-5515.201611033. Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2017. PMID: 29745558 Free PMC article. Chinese.

7

Automated Identification and Localization of the Inferior Vena Cava Using Ultrasound: An Animal Study.

Chen J, Li J, Ding X, Chang C, Wang X, Ta D. Chen J, et al. Among authors: li j. Ultrason Imaging. 2018 Jul;40(4):232-244. doi: 10.1177/0161734618777262. Ultrason Imaging. 2018. PMID: 29862931

8

Triple-negative invasive breast carcinoma: the association between the sonographic appearances with clinicopathological feature.

Li JW, Zhang K, Shi ZT, Zhang X, Xie J, Liu JY, Chang C. Li JW, et al. Sci Rep. 2018 Jun 13;8(1):9040. doi: 10.1038/s41598-018-27222-6. Sci Rep. 2018. PMID: 29899425 Free PMC article.

9

Automatic tumor segmentation in breast ultrasound images using a dilated fully convolutional network combined with an active contour model.

Hu Y, Guo Y, Wang Y, Yu J, Li J, Zhou S, Chang C. Hu Y, et al. Among authors: li j. Med Phys. 2019 Jan;46(1):215-228. doi: 10.1002/mp.13268. Epub 2018 Nov 28. Med Phys. 2019. PMID: 30374980

10

Clinicopathologic and Ultrasound Variables Associated With a Heavy Axillary Nodal Tumor Burden in Invasive Breast Carcinoma.

Li JW, Tong YY, Jiang YZ, Shui XJ, Shi ZT, Chang C. Li JW, et al. J Ultrasound Med. 2019 Jul;38(7):1747-1755. doi: 10.1002/jum.14863. Epub 2018 Nov 27. J Ultrasound Med. 2019. PMID: 30480341

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