BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

485 related articles for article (PubMed ID: 30635952)

  • 1. Differentiation between glioblastoma, brain metastasis and subtypes using radiomics analysis.
    Artzi M; Bressler I; Ben Bashat D
    J Magn Reson Imaging; 2019 Aug; 50(2):519-528. PubMed ID: 30635952
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Glioma grading using a machine-learning framework based on optimized features obtained from T
    Sengupta A; Ramaniharan AK; Gupta RK; Agarwal S; Singh A
    J Magn Reson Imaging; 2019 Oct; 50(4):1295-1306. PubMed ID: 30895704
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Application of MR morphologic, diffusion tensor, and perfusion imaging in the classification of brain tumors using machine learning scheme.
    Shrot S; Salhov M; Dvorski N; Konen E; Averbuch A; Hoffmann C
    Neuroradiology; 2019 Jul; 61(7):757-765. PubMed ID: 30949746
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Development and Validation of a MRI-Based Radiomics Prognostic Classifier in Patients with Primary Glioblastoma Multiforme.
    Chen X; Fang M; Dong D; Liu L; Xu X; Wei X; Jiang X; Qin L; Liu Z
    Acad Radiol; 2019 Oct; 26(10):1292-1300. PubMed ID: 30660472
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Radiomics features to distinguish glioblastoma from primary central nervous system lymphoma on multi-parametric MRI.
    Kim Y; Cho HH; Kim ST; Park H; Nam D; Kong DS
    Neuroradiology; 2018 Dec; 60(12):1297-1305. PubMed ID: 30232517
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Deep learning enables automatic detection and segmentation of brain metastases on multisequence MRI.
    Grøvik E; Yi D; Iv M; Tong E; Rubin D; Zaharchuk G
    J Magn Reson Imaging; 2020 Jan; 51(1):175-182. PubMed ID: 31050074
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Machine Learning-based Texture Analysis of Contrast-enhanced MR Imaging to Differentiate between Glioblastoma and Primary Central Nervous System Lymphoma.
    Kunimatsu A; Kunimatsu N; Yasaka K; Akai H; Kamiya K; Watadani T; Mori H; Abe O
    Magn Reson Med Sci; 2019 Jan; 18(1):44-52. PubMed ID: 29769456
    [TBL] [Abstract][Full Text] [Related]  

  • 8. IDH1 mutation prediction using MR-based radiomics in glioblastoma: comparison between manual and fully automated deep learning-based approach of tumor segmentation.
    Choi Y; Nam Y; Lee YS; Kim J; Ahn KJ; Jang J; Shin NY; Kim BS; Jeon SS
    Eur J Radiol; 2020 Jul; 128():109031. PubMed ID: 32417712
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Differentiation between vasogenic edema and infiltrative tumor in patients with high-grade gliomas using texture patch-based analysis.
    Artzi M; Liberman G; Blumenthal DT; Aizenstein O; Bokstein F; Ben Bashat D
    J Magn Reson Imaging; 2018 Jan; ():. PubMed ID: 29314345
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Differentiation of supratentorial single brain metastasis and glioblastoma by using peri-enhancing oedema region-derived radiomic features and multiple classifiers.
    Dong F; Li Q; Jiang B; Zhu X; Zeng Q; Huang P; Chen S; Zhang M
    Eur Radiol; 2020 May; 30(5):3015-3022. PubMed ID: 32006166
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Differentiation of Pseudoprogression from True Progressionin Glioblastoma Patients after Standard Treatment: A Machine Learning Strategy Combinedwith Radiomics Features from T
    Sun YZ; Yan LF; Han Y; Nan HY; Xiao G; Tian Q; Pu WH; Li ZY; Wei XC; Wang W; Cui GB
    BMC Med Imaging; 2021 Feb; 21(1):17. PubMed ID: 33535988
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Primary central nervous system lymphoma and atypical glioblastoma: Differentiation using radiomics approach.
    Suh HB; Choi YS; Bae S; Ahn SS; Chang JH; Kang SG; Kim EH; Kim SH; Lee SK
    Eur Radiol; 2018 Sep; 28(9):3832-3839. PubMed ID: 29626238
    [TBL] [Abstract][Full Text] [Related]  

  • 13. The effect of glioblastoma heterogeneity on survival stratification: a multimodal MR imaging texture analysis.
    Liu Y; Zhang X; Feng N; Yin L; He Y; Xu X; Lu H
    Acta Radiol; 2018 Oct; 59(10):1239-1246. PubMed ID: 29430935
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Assessing the performance of benign and malignant breast lesion classification with bilateral TIC differentiation and other effective features in DCE-MRI.
    Li H; Sun H; Liu S; Zhang W; Arukalam FM; Ma H; Qian W
    J Magn Reson Imaging; 2019 Aug; 50(2):465-473. PubMed ID: 30688398
    [TBL] [Abstract][Full Text] [Related]  

  • 15. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Differentiation of glioblastoma from solitary brain metastases using radiomic machine-learning classifiers.
    Qian Z; Li Y; Wang Y; Li L; Li R; Wang K; Li S; Tang K; Zhang C; Fan X; Chen B; Li W
    Cancer Lett; 2019 Jun; 451():128-135. PubMed ID: 30878526
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Differentiation of Glioblastoma and Solitary Brain Metastasis by Gradient of Relative Cerebral Blood Volume in the Peritumoral Brain Zone Derived from Dynamic Susceptibility Contrast Perfusion Magnetic Resonance Imaging.
    She D; Xing Z; Cao D
    J Comput Assist Tomogr; 2019; 43(1):13-17. PubMed ID: 30015801
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Imaging biomarker analysis of advanced multiparametric MRI for glioma grading.
    Vamvakas A; Williams SC; Theodorou K; Kapsalaki E; Fountas K; Kappas C; Vassiou K; Tsougos I
    Phys Med; 2019 Apr; 60():188-198. PubMed ID: 30910431
    [TBL] [Abstract][Full Text] [Related]  

  • 19. 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
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multiparametric magnetic resonance imaging to differentiate high-grade gliomas and brain metastases.
    Mouthuy N; Cosnard G; Abarca-Quinones J; Michoux N
    J Neuroradiol; 2012 Dec; 39(5):301-7. PubMed ID: 22197404
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 25.