Gao P - Search Results

1

Anisotropy of anomalous diffusion improves the accuracy of differentiating low- and high-grade cerebral gliomas.

Xu B, Su L, Wang Z, Fan Y, Gong G, Zhu W, Gao P, Gao JH. Xu B, et al. Among authors: gao jh, gao p. Magn Reson Imaging. 2018 Sep;51:14-19. doi: 10.1016/j.mri.2018.04.005. Epub 2018 Apr 17. Magn Reson Imaging. 2018. PMID: 29673894

2

[Function magnetic resonance imaging and diffusion tensor tractography in patients with brain gliomas involving motor areas: clinical application and outcome].

Li ZX, Dai JP, Jiang T, Li SW, Sun YL, Liang XL, Gao PY. Li ZX, et al. Zhonghua Wai Ke Za Zhi. 2006 Sep 15;44(18):1275-9. Zhonghua Wai Ke Za Zhi. 2006. PMID: 17147897 Chinese.

3

[Application of 1H-magnetic resonance spectroscopy in differential diagnosis of brain low-grade gliomas and demyelinating diseases].

Hou XY, Gao PY. Hou XY, et al. Zhongguo Yi Xue Ke Xue Yuan Xue Bao. 2009 Apr;31(2):206-9. Zhongguo Yi Xue Ke Xue Yuan Xue Bao. 2009. PMID: 19507601 Chinese.

4

Segmentation of Hyperacute Cerebral Infarcts Based on Sparse Representation of Diffusion Weighted Imaging.

Zhang X, Jing S, Gao P, Xue J, Su L, Li W, Ren L, Hu Q. Zhang X, et al. Among authors: gao p. Comput Math Methods Med. 2016;2016:2581676. doi: 10.1155/2016/2581676. Epub 2016 Sep 22. Comput Math Methods Med. 2016. PMID: 27746825 Free PMC article.

5

Anomalous diffusion in cerebral glioma assessed using a fractional motion model.

Xu B, Su L, Wang Z, Fan Y, Gong G, Zhu W, Gao P, Gao JH. Xu B, et al. Among authors: gao jh, gao p. Magn Reson Med. 2017 Nov;78(5):1944-1949. doi: 10.1002/mrm.26581. Epub 2017 Jan 5. Magn Reson Med. 2017. PMID: 28054416 Free article.

6

Predicting O6-Methylguanine-DNA Methyltransferase Protein Expression in Primary Low- and High-Grade Gliomas Using Certain Qualitative Characteristics of Amide Proton Transfer-Weighted Magnetic Resonance Imaging.

Su L, Gao P, Lin S, Wu B, Qin W, Lin Y, Xue J. Su L, et al. Among authors: gao p. World Neurosurg. 2018 Aug;116:e814-e823. doi: 10.1016/j.wneu.2018.05.100. Epub 2018 May 23. World Neurosurg. 2018. PMID: 29803064

7

A machine learning-based prediction model of H3K27M mutations in brainstem gliomas using conventional MRI and clinical features.

Pan CC, Liu J, Tang J, Chen X, Chen F, Wu YL, Geng YB, Xu C, Zhang X, Wu Z, Gao PY, Zhang JT, Yan H, Liao H, Zhang LW. Pan CC, et al. Radiother Oncol. 2019 Jan;130:172-179. doi: 10.1016/j.radonc.2018.07.011. Epub 2018 Aug 7. Radiother Oncol. 2019. PMID: 30097251

8

Corrigendum to "Segmentation of Hyperacute Cerebral Infarcts Based on Sparse Representation of Diffusion Weighted Imaging".

Zhang X, Jing S, Gao P, Xue J, Su L, Li W, Ren L, Hu Q. Zhang X, et al. Among authors: gao p. Comput Math Methods Med. 2018 Nov 5;2018:8092523. doi: 10.1155/2018/8092523. eCollection 2018. Comput Math Methods Med. 2018. PMID: 30532799 Free PMC article.

9

The Reliability of Measuring Early Brain Edema with Computed Tomography.

Fan YF, Shen M, Wang XX, Liu XY, Peng YM, Gao PY, Han RQ. Fan YF, et al. Curr Med Imaging. 2022;18(8):830-836. doi: 10.2174/1573405617666211208124839. Curr Med Imaging. 2022. PMID: 34879812

10

Volume mismatch indicates tumors in paramedial bithalamic diseases: a retrospective study.

Su L, Gao P. Su L, et al. Among authors: gao p. Front Neurol. 2023 Jul 25;14:1154823. doi: 10.3389/fneur.2023.1154823. eCollection 2023. Front Neurol. 2023. PMID: 37560447 Free PMC article.

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