Ma H - Search Results

1

Assessing the performance of benign and malignant breast lesion classification with bilateral TIC differentiation and other effective features in DCE-MRI.

Li H, Sun H, Liu S, Zhang W, Arukalam FM, Ma H, Qian W. Li H, et al. Among authors: ma h. J Magn Reson Imaging. 2019 Aug;50(2):465-473. doi: 10.1002/jmri.26646. Epub 2019 Jan 28. J Magn Reson Imaging. 2019. PMID: 30688398

2

Risk Analysis for Pathological Changes in Pulmonary Parenchyma Based on Lung Computed Tomography Images.

Jiang HY, Ma H, Qian W, Wei GH. Jiang HY, et al. Among authors: ma h. J Comput Assist Tomogr. 2016 May-Jun;40(3):357-63. doi: 10.1097/RCT.0000000000000384. J Comput Assist Tomogr. 2016. PMID: 26938694

3

Wei G, Ma H, Qian W, Qiu M. Wei G, et al. Among authors: ma h. Med Phys. 2016 Dec;43(12):6259. doi: 10.1118/1.4966030. Med Phys. 2016. PMID: 27908158

4

An Assisted Diagnosis System for Detection of Early Pulmonary Nodule in Computed Tomography Images.

Liu JK, Jiang HY, Gao MD, He CG, Wang Y, Wang P, Ma H, Li Y. Liu JK, et al. Among authors: ma h. J Med Syst. 2017 Feb;41(2):30. doi: 10.1007/s10916-016-0669-0. Epub 2016 Dec 28. J Med Syst. 2017. PMID: 28032305

5

An Automatic Detection System of Lung Nodule Based on Multigroup Patch-Based Deep Learning Network.

Jiang H, Ma H, Qian W, Gao M, Li Y, Hongyang Jiang, He Ma, Wei Qian, Mengdi Gao, Yan Li. Jiang H, et al. Among authors: ma h. IEEE J Biomed Health Inform. 2018 Jul;22(4):1227-1237. doi: 10.1109/JBHI.2017.2725903. Epub 2017 Jul 14. IEEE J Biomed Health Inform. 2018. PMID: 28715341

6

Content-based image retrieval for Lung Nodule Classification Using Texture Features and Learned Distance Metric.

Wei G, Cao H, Ma H, Qi S, Qian W, Ma Z. Wei G, et al. Among authors: ma z, ma h. J Med Syst. 2017 Nov 29;42(1):13. doi: 10.1007/s10916-017-0874-5. J Med Syst. 2017. PMID: 29185058

7

Performance evaluation of breast cancer diagnosis with mammography, ultrasonography and magnetic resonance imaging.

Sun H, Li H, Si S, Qi S, Zhang W, Ma H, Liu S, Yingxue L, Qian W. Sun H, et al. Among authors: ma h. J Xray Sci Technol. 2018;26(5):805-813. doi: 10.3233/XST-18388. J Xray Sci Technol. 2018. PMID: 30103371

8

Differentiating axillary lymph node metastasis in invasive breast cancer patients: A comparison of radiomic signatures from multiparametric breast MR sequences.

Chai R, Ma H, Xu M, Arefan D, Cui X, Liu Y, Zhang L, Wu S, Xu K. Chai R, et al. Among authors: ma h. J Magn Reson Imaging. 2019 Oct;50(4):1125-1132. doi: 10.1002/jmri.26701. Epub 2019 Mar 7. J Magn Reson Imaging. 2019. PMID: 30848041 Free PMC article.

9

Multi-parametric MRI-based radiomics signature for discriminating between clinically significant and insignificant prostate cancer: Cross-validation of a machine learning method.

Min X, Li M, Dong D, Feng Z, Zhang P, Ke Z, You H, Han F, Ma H, Tian J, Wang L. Min X, et al. Among authors: ma h. Eur J Radiol. 2019 Jun;115:16-21. doi: 10.1016/j.ejrad.2019.03.010. Epub 2019 Mar 15. Eur J Radiol. 2019. PMID: 31084754 Free article.

10

Deep CNN models for pulmonary nodule classification: Model modification, model integration, and transfer learning.

Zhao X, Qi S, Zhang B, Ma H, Qian W, Yao Y, Sun J. Zhao X, et al. Among authors: ma h. J Xray Sci Technol. 2019;27(4):615-629. doi: 10.3233/XST-180490. J Xray Sci Technol. 2019. PMID: 31227682

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