Park YW - Search Results

1

The 2021 WHO Classification for Gliomas and Implications on Imaging Diagnosis: Part 3-Summary of Imaging Findings on Glioneuronal and Neuronal Tumors.

Park YW, Vollmuth P, Foltyn-Dumitru M, Sahm F, Choi KS, Park JE, Ahn SS, Chang JH, Kim SH. Park YW, et al. Among authors: park je. J Magn Reson Imaging. 2023 Dec;58(6):1680-1702. doi: 10.1002/jmri.29016. Epub 2023 Sep 16. J Magn Reson Imaging. 2023. PMID: 37715567 Review.

2

Gadolinium deposition in the brain: association with various GBCAs using a generalized additive model.

Bae S, Lee HJ, Han K, Park YW, Choi YS, Ahn SS, Kim J, Lee SK. Bae S, et al. Among authors: park yw. Eur Radiol. 2017 Aug;27(8):3353-3361. doi: 10.1007/s00330-016-4724-5. Epub 2017 Jan 12. Eur Radiol. 2017. PMID: 28083696

3

Prediction of IDH1-Mutation and 1p/19q-Codeletion Status Using Preoperative MR Imaging Phenotypes in Lower Grade Gliomas.

Park YW, Han K, Ahn SS, Bae S, Choi YS, Chang JH, Kim SH, Kang SG, Lee SK. Park YW, et al. AJNR Am J Neuroradiol. 2018 Jan;39(1):37-42. doi: 10.3174/ajnr.A5421. Epub 2017 Nov 9. AJNR Am J Neuroradiol. 2018. PMID: 29122763 Free PMC article.

4

Whole-Tumor Histogram and Texture Analyses of DTI for Evaluation of IDH1-Mutation and 1p/19q-Codeletion Status in World Health Organization Grade II Gliomas.

Park YW, Han K, Ahn SS, Choi YS, Chang JH, Kim SH, Kang SG, Kim EH, Lee SK. Park YW, et al. AJNR Am J Neuroradiol. 2018 Apr;39(4):693-698. doi: 10.3174/ajnr.A5569. Epub 2018 Mar 8. AJNR Am J Neuroradiol. 2018. PMID: 29519794 Free PMC article.

5

Deep-learned 3D black-blood imaging using automatic labelling technique and 3D convolutional neural networks for detecting metastatic brain tumors.

Jun Y, Eo T, Kim T, Shin H, Hwang D, Bae SH, Park YW, Lee HJ, Choi BW, Ahn SS. Jun Y, et al. Among authors: park yw. Sci Rep. 2018 Jun 21;8(1):9450. doi: 10.1038/s41598-018-27742-1. Sci Rep. 2018. PMID: 29930257 Free PMC article. Clinical Trial.

6

Radiomics and machine learning may accurately predict the grade and histological subtype in meningiomas using conventional and diffusion tensor imaging.

Park YW, Oh J, You SC, Han K, Ahn SS, Choi YS, Chang JH, Kim SH, Lee SK. Park YW, et al. Eur Radiol. 2019 Aug;29(8):4068-4076. doi: 10.1007/s00330-018-5830-3. Epub 2018 Nov 15. Eur Radiol. 2019. PMID: 30443758

7

Radiomics MRI Phenotyping with Machine Learning to Predict the Grade of Lower-Grade Gliomas: A Study Focused on Nonenhancing Tumors.

Park YW, Choi YS, Ahn SS, Chang JH, Kim SH, Lee SK. Park YW, et al. Korean J Radiol. 2019 Sep;20(9):1381-1389. doi: 10.3348/kjr.2018.0814. Korean J Radiol. 2019. PMID: 31464116 Free PMC article.

8

Diffusion tensor imaging radiomics in lower-grade glioma: improving subtyping of isocitrate dehydrogenase mutation status.

Park CJ, Choi YS, Park YW, Ahn SS, Kang SG, Chang JH, Kim SH, Lee SK. Park CJ, et al. Among authors: park yw. Neuroradiology. 2020 Mar;62(3):319-326. doi: 10.1007/s00234-019-02312-y. Epub 2019 Dec 9. Neuroradiology. 2020. PMID: 31820065

9

MR image phenotypes may add prognostic value to clinical features in IDH wild-type lower-grade gliomas.

Park CJ, Han K, Shin H, Ahn SS, Choi YS, Park YW, Chang JH, Kim SH, Jain R, Lee SK. Park CJ, et al. Among authors: park yw. Eur Radiol. 2020 Jun;30(6):3035-3045. doi: 10.1007/s00330-020-06683-2. Epub 2020 Feb 14. Eur Radiol. 2020. PMID: 32060714

10

Magnetic resonance imaging-based 3-dimensional fractal dimension and lacunarity analyses may predict the meningioma grade.

Park YW, Kim S, Ahn SS, Han K, Kang SG, Chang JH, Kim SH, Lee SK, Park SH. Park YW, et al. Among authors: park sh. Eur Radiol. 2020 Aug;30(8):4615-4622. doi: 10.1007/s00330-020-06788-8. Epub 2020 Apr 9. Eur Radiol. 2020. PMID: 32274524

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