Zhang J - Search Results

1

Diffuse optical tomography of breast carcinoma: can tumor total hemoglobin concentration be considered as a new promising prognostic parameter of breast carcinoma?

Xiao M, Jiang Y, Zhu Q, You S, Li J, Wang H, Lai X, Zhang J, Liu H, Zhang J. Xiao M, et al. Among authors: zhang j. Acad Radiol. 2015 Apr;22(4):439-46. doi: 10.1016/j.acra.2014.12.012. Acad Radiol. 2015. PMID: 25753593

2

US-guided diffused optical tomography: a promising functional imaging technique in breast lesions.

You SS, Jiang YX, Zhu QL, Liu JB, Zhang J, Dai Q, Liu H, Sun Q. You SS, et al. Among authors: zhang j. Eur Radiol. 2010 Feb;20(2):309-17. doi: 10.1007/s00330-009-1551-y. Epub 2009 Aug 26. Eur Radiol. 2010. PMID: 19707770

3

Detecting angiogenesis in breast tumors: comparison of color Doppler flow imaging with ultrasound-guided diffuse optical tomography.

Zhu Q, You S, Jiang Y, Zhang J, Xiao M, Dai Q, Sun Q. Zhu Q, et al. Among authors: zhang j. Ultrasound Med Biol. 2011 Jun;37(6):862-9. doi: 10.1016/j.ultrasmedbio.2011.03.010. Epub 2011 Apr 30. Ultrasound Med Biol. 2011. PMID: 21531497

4

Interobserver agreement for sonograms of breast lesions obtained by an automated breast volume scanner.

Zhang J, Lai XJ, Zhu QL, Wang HY, Jiang YX, Liu H, Dai Q, You SS, Xiao MS, Sun Q. Zhang J, et al. Eur J Radiol. 2012 Sep;81(9):2179-83. doi: 10.1016/j.ejrad.2011.06.043. Epub 2011 Jul 2. Eur J Radiol. 2012. PMID: 21724355

5

Clinicopathological characteristics and long-term prognosis of screening detected non-palpable breast cancer by ultrasound in hospital-based Chinese population (2001-2014).

Pan B, Yao R, Zhu QL, Wang CJ, You SS, Zhang J, Xu QQ, Cai F, Shi J, Zhou YD, Mao F, Lin Y, Guan JH, Shen SJ, Liang ZY, Jiang YX, Sun Q. Pan B, et al. Among authors: zhang j. Oncotarget. 2016 Nov 22;7(47):76840-76851. doi: 10.18632/oncotarget.12319. Oncotarget. 2016. PMID: 27689334 Free PMC article.

6

The value of contrast-enhanced ultrasound for sentinel lymph node identification and characterisation in pre-operative breast cancer patients: A prospective study.

Zhao J, Zhang J, Zhu QL, Jiang YX, Sun Q, Zhou YD, Wang MQ, Meng ZL, Mao XX. Zhao J, et al. Among authors: zhang j. Eur Radiol. 2018 Apr;28(4):1654-1661. doi: 10.1007/s00330-017-5089-0. Epub 2017 Oct 20. Eur Radiol. 2018. PMID: 29058028

7

Preliminary study of contrast-enhanced ultrasound in combination with blue dye vs. indocyanine green fluorescence, in combination with blue dye for sentinel lymph node biopsy in breast cancer.

Zhou Y, Li Y, Mao F, Zhang J, Zhu Q, Shen S, Lin Y, Zhang X, Liu H, Xiao M, Jiang Y, Sun Q. Zhou Y, et al. Among authors: zhang j, zhang x. BMC Cancer. 2019 Oct 11;19(1):939. doi: 10.1186/s12885-019-6165-4. BMC Cancer. 2019. PMID: 31604469 Free PMC article.

8

An investigation of the classification accuracy of a deep learning framework-based computer-aided diagnosis system in different pathological types of breast lesions.

Xiao M, Zhao C, Zhu Q, Zhang J, Liu H, Li J, Jiang Y. Xiao M, et al. Among authors: zhang j. J Thorac Dis. 2019 Dec;11(12):5023-5031. doi: 10.21037/jtd.2019.12.10. J Thorac Dis. 2019. PMID: 32030218 Free PMC article.

9

Reducing the number of unnecessary biopsies of US-BI-RADS 4a lesions through a deep learning method for residents-in-training: a cross-sectional study.

Zhao C, Xiao M, Liu H, Wang M, Wang H, Zhang J, Jiang Y, Zhu Q. Zhao C, et al. Among authors: zhang j. BMJ Open. 2020 Jun 7;10(6):e035757. doi: 10.1136/bmjopen-2019-035757. BMJ Open. 2020. PMID: 32513885 Free PMC article.

10

Diagnostic Value of Breast Lesions Between Deep Learning-Based Computer-Aided Diagnosis System and Experienced Radiologists: Comparison the Performance Between Symptomatic and Asymptomatic Patients.

Xiao M, Zhao C, Li J, Zhang J, Liu H, Wang M, Ouyang Y, Zhang Y, Jiang Y, Zhu Q. Xiao M, et al. Among authors: zhang j, zhang y. Front Oncol. 2020 Jul 7;10:1070. doi: 10.3389/fonc.2020.01070. eCollection 2020. Front Oncol. 2020. PMID: 32733799 Free PMC article.

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