optimization and parallel computing toolbox release 2015a Search Results


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matlab 2015a  (MathWorks Inc)
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conventional mri features  (MathWorks Inc)
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matlab environment  (MathWorks Inc)
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adaptive piv algorithm within dynamicstudio v.2015a  (Dantec Dynamics)
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barrick gold, 2015a  (Barrick Gold Corporation)
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0.014-inch conventional nitinol wire  (Unitek Corporation)
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genomics england, 2015a  (Genomics England)
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Relevant radiogenomic studies predicting IDH mutational status.
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windows-2015a  (Alienware Corporation)
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mln7243  (ChemieTek LLC)
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scan image 2015a  (Vidrio Technologies)
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Vidrio Technologies scan image 2015a
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Image Search Results


Relevant radiogenomic studies predicting IDH mutational status.

Journal: Biomedicines

Article Title: Beyond Imaging and Genetic Signature in Glioblastoma: Radiogenomic Holistic Approach in Neuro-Oncology

doi: 10.3390/biomedicines10123205

Figure Lengend Snippet: Relevant radiogenomic studies predicting IDH mutational status.

Article Snippet: Zhang et al., 2016 [ ] , Machine learning algorithm to generate a model predictive of IDH genotype based on the integration of clinical features and conventional MRI features (Statistics and Machine Learning Toolbox MATLAB 2015a) , Top features resulted were age and MRI parametric intensity, texture, and shape features , 120 , AUC 0.92.

Techniques: Mutagenesis, Imaging

MRI tumor phenotype in relation to IDH mutational status and MGMT methylation status assessed by radiomic studies.

Journal: Biomedicines

Article Title: Beyond Imaging and Genetic Signature in Glioblastoma: Radiogenomic Holistic Approach in Neuro-Oncology

doi: 10.3390/biomedicines10123205

Figure Lengend Snippet: MRI tumor phenotype in relation to IDH mutational status and MGMT methylation status assessed by radiomic studies.

Article Snippet: Zhang et al., 2016 [ ] , Machine learning algorithm to generate a model predictive of IDH genotype based on the integration of clinical features and conventional MRI features (Statistics and Machine Learning Toolbox MATLAB 2015a) , Top features resulted were age and MRI parametric intensity, texture, and shape features , 120 , AUC 0.92.

Techniques: Methylation