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Journal Abstract Search

563 related items for PubMed ID: 30623514

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  • 5. 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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  • 6. Radiomics-Based Machine Learning Classification for Glioma Grading Using Diffusion- and Perfusion-Weighted Magnetic Resonance Imaging.
    Hashido T, Saito S, Ishida T.
    J Comput Assist Tomogr; 2019 Oct; 45(4):606-613. PubMed ID: 34270479
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  • 7. 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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  • 13. Quantitative Identification of Nonmuscle-Invasive and Muscle-Invasive Bladder Carcinomas: A Multiparametric MRI Radiomics Analysis.
    Xu X, Zhang X, Tian Q, Wang H, Cui LB, Li S, Tang X, Li B, Dolz J, Ayed IB, Liang Z, Yuan J, Du P, Lu H, Liu Y.
    J Magn Reson Imaging; 2019 May; 49(5):1489-1498. PubMed ID: 30252978
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  • 16. Association Between Histopathology and Magnetic Resonance Imaging Texture in Grading Gliomas Based on Intraoperative Magnetic Resonance Navigated Stereotactic Biopsy.
    Rui W, Pang H, Xie Q, Wang Y, Duan S, Ren Y, Yao Z.
    J Comput Assist Tomogr; 2019 May; 45(5):728-735. PubMed ID: 34347700
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  • 17. Texture analysis- and support vector machine-assisted diffusional kurtosis imaging may allow in vivo gliomas grading and IDH-mutation status prediction: a preliminary study.
    Bisdas S, Shen H, Thust S, Katsaros V, Stranjalis G, Boskos C, Brandner S, Zhang J.
    Sci Rep; 2018 Apr 17; 8(1):6108. PubMed ID: 29666413
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