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Journal Abstract Search

226 related items for PubMed ID: 29412496

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  • 2. Noninvasive Prediction of IDH1 Mutation and ATRX Expression Loss in Low-Grade Gliomas Using Multiparametric MR Radiomic Features.
    Ren Y, Zhang X, Rui W, Pang H, Qiu T, Wang J, Xie Q, Jin T, Zhang H, Chen H, Zhang Y, Lu H, Yao Z, Zhang J, Feng X.
    J Magn Reson Imaging; 2019 Mar; 49(3):808-817. PubMed ID: 30194745
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  • 3. Glioma grading using a machine-learning framework based on optimized features obtained from T1 perfusion MRI and volumes of tumor components.
    Sengupta A, Ramaniharan AK, Gupta RK, Agarwal S, Singh A.
    J Magn Reson Imaging; 2019 Oct; 50(4):1295-1306. PubMed ID: 30895704
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  • 4. Radiomics strategy for glioma grading using texture features from multiparametric MRI.
    Tian Q, Yan LF, Zhang X, Zhang X, Hu YC, Han Y, Liu ZC, Nan HY, Sun Q, Sun YZ, Yang Y, Yu Y, Zhang J, Hu B, Xiao G, Chen P, Tian S, Xu J, Wang W, Cui GB.
    J Magn Reson Imaging; 2018 Dec; 48(6):1518-1528. PubMed ID: 29573085
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  • 6. On differentiation between vasogenic edema and non-enhancing tumor in high-grade glioma patients using a support vector machine classifier based upon pre and post-surgery MRI images.
    Sengupta A, Agarwal S, Gupta PK, Ahlawat S, Patir R, Gupta RK, Singh A.
    Eur J Radiol; 2018 Sep; 106():199-208. PubMed ID: 30150045
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  • 11. Diffusion- and perfusion-weighted MRI radiomics model may predict isocitrate dehydrogenase (IDH) mutation and tumor aggressiveness in diffuse lower grade glioma.
    Kim M, Jung SY, Park JE, Jo Y, Park SY, Nam SJ, Kim JH, Kim HS.
    Eur Radiol; 2020 Apr; 30(4):2142-2151. PubMed ID: 31828414
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  • 17. Association of Glioma Grading With Inflow-Based Vascular-Space-Occupancy MRI: A Preliminary Study at 3T.
    Li X, Liao S, Hua J, Guo L, Wang D, Xiao X, Zhou J, Liu X, Tan Y, Lu L, Xu Y, Wu Y.
    J Magn Reson Imaging; 2019 Dec; 50(6):1817-1823. PubMed ID: 30932289
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  • 18. Radiomics Strategy for Molecular Subtype Stratification of Lower-Grade Glioma: Detecting IDH and TP53 Mutations Based on Multimodal MRI.
    Zhang X, Tian Q, Wang L, Liu Y, Li B, Liang Z, Gao P, Zheng K, Zhao B, Lu H.
    J Magn Reson Imaging; 2018 Oct; 48(4):916-926. PubMed ID: 29394005
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  • 19. Optimizing Texture Retrieving Model for Multimodal MR Image-Based Support Vector Machine for Classifying Glioma.
    Yang Y, Yan LF, Zhang X, Nan HY, Hu YC, Han Y, Zhang J, Liu ZC, Sun YZ, Tian Q, Yu Y, Sun Q, Wang SY, Zhang X, Wang W, Cui GB.
    J Magn Reson Imaging; 2019 May; 49(5):1263-1274. PubMed ID: 30623514
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  • 20. Optimizing a machine learning based glioma grading system using multi-parametric MRI histogram and texture features.
    Zhang X, Yan LF, Hu YC, Li G, Yang Y, Han Y, Sun YZ, Liu ZC, Tian Q, Han ZY, Liu LD, Hu BQ, Qiu ZY, Wang W, Cui GB.
    Oncotarget; 2017 Jul 18; 8(29):47816-47830. PubMed ID: 28599282
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