Bao ML - Search Results

1

Using support vector machine analysis to assess PartinMR: A new prediction model for organ-confined prostate cancer.

Wang J, Wu CJ, Bao ML, Zhang J, Shi HB, Zhang YD. Wang J, et al. Among authors: bao ml. J Magn Reson Imaging. 2018 Aug;48(2):499-506. doi: 10.1002/jmri.25961. Epub 2018 Feb 13. J Magn Reson Imaging. 2018. PMID: 29437268

2

New RESOLVE-Based Diffusional Kurtosis Imaging in MRI-Visible Prostate Cancer: Effect of Reduced b Value on Image Quality and Diagnostic Effectiveness.

Zhang YD, Wu CJ, Bao ML, Li H, Yan X, Liu XS, Shi HB. Zhang YD, et al. Among authors: bao ml. AJR Am J Roentgenol. 2016 Aug;207(2):330-8. doi: 10.2214/AJR.15.15990. Epub 2016 May 17. AJR Am J Roentgenol. 2016. PMID: 27187062

3

Acute kidney damage induced by low- and iso-osmolar contrast media in rats: Comparison study with physiologic MRI and histologic-gene examination.

Wu CJ, Bao ML, Wang Q, Wang XN, Liu XS, Shi HB, Zhang YD. Wu CJ, et al. Among authors: bao ml. J Magn Reson Imaging. 2017 Jan;45(1):291-302. doi: 10.1002/jmri.25346. Epub 2016 Jul 1. J Magn Reson Imaging. 2017. PMID: 27367527

4

An imaging-based approach predicts clinical outcomes in prostate cancer through a novel support vector machine classification.

Zhang YD, Wang J, Wu CJ, Bao ML, Li H, Wang XN, Tao J, Shi HB. Zhang YD, et al. Among authors: bao ml. Oncotarget. 2016 Nov 22;7(47):78140-78151. doi: 10.18632/oncotarget.11293. Oncotarget. 2016. PMID: 27542201 Free PMC article.

5

MR-based prognostic nomogram for prostate cancer after radical prostatectomy.

Zhang YD, Wu CJ, Bao ML, Li H, Wang XN, Liu XS, Shi HB. Zhang YD, et al. Among authors: bao ml. J Magn Reson Imaging. 2017 Feb;45(2):586-596. doi: 10.1002/jmri.25441. Epub 2016 Sep 21. J Magn Reson Imaging. 2017. PMID: 27654116

6

Machine learning-based analysis of MR radiomics can help to improve the diagnostic performance of PI-RADS v2 in clinically relevant prostate cancer.

Wang J, Wu CJ, Bao ML, Zhang J, Wang XN, Zhang YD. Wang J, et al. Among authors: bao ml. Eur Radiol. 2017 Oct;27(10):4082-4090. doi: 10.1007/s00330-017-4800-5. Epub 2017 Apr 3. Eur Radiol. 2017. PMID: 28374077

7

Diffusion Kurtosis Imaging Helps to Predict Upgrading in Biopsy-Proven Prostate Cancer With a Gleason Score of 6.

Wu CJ, Zhang YD, Bao ML, Li H, Wang XN, Liu XS, Shi HB. Wu CJ, et al. Among authors: bao ml. AJR Am J Roentgenol. 2017 Nov;209(5):1081-1087. doi: 10.2214/AJR.16.17781. Epub 2017 Aug 23. AJR Am J Roentgenol. 2017. PMID: 28834443

8

Construction of a Preoperative Radiologic-Risk Signature for Predicting the Pathologic Status of Prostate Cancer at Radical Prostatectomy.

Qi L, Wu CJ, Zhang J, Bao ML, Yan X, Zhang YD. Qi L, et al. Among authors: bao ml. AJR Am J Roentgenol. 2018 Oct;211(4):805-811. doi: 10.2214/AJR.17.19360. Epub 2018 Jul 11. AJR Am J Roentgenol. 2018. PMID: 29995494

9

A machine learning-assisted decision-support model to better identify patients with prostate cancer requiring an extended pelvic lymph node dissection.

Hou Y, Bao ML, Wu CJ, Zhang J, Zhang YD, Shi HB. Hou Y, et al. Among authors: bao ml. BJU Int. 2019 Dec;124(6):972-983. doi: 10.1111/bju.14892. Epub 2019 Aug 28. BJU Int. 2019. PMID: 31392808

10

A radiomics machine learning-based redefining score robustly identifies clinically significant prostate cancer in equivocal PI-RADS score 3 lesions.

Hou Y, Bao ML, Wu CJ, Zhang J, Zhang YD, Shi HB. Hou Y, et al. Among authors: bao ml. Abdom Radiol (NY). 2020 Dec;45(12):4223-4234. doi: 10.1007/s00261-020-02678-1. Epub 2020 Aug 1. Abdom Radiol (NY). 2020. PMID: 32740863

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