| Previous ID Next ID Search for '143210243' |
5001: Papers(Old)
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| DOI | 10.1016/j.wneu.2021.03.135 |
| category | 2 |
| imaging | 0.6860827207565308 |
| therapy | 0.7553597688674927 |
| modeling | 0.602450430393219 |
| wos_citations | 30 |
| scopus_citations | 31 |
| COBISS | 143210243 |
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5002: Papers
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| DOI | 10.1016/j.wneu.2021.03.135 |
| category | 2 |
| imaging | 0.7354693412780762 |
| therapy | 0.7733937799930573 |
| modeling | 0.6888202726840973 |
| year | 2021 |
| citedness | 1.8615249780893952 |
| wos_citations | 30 |
| scopus_citations | 32 |
| COBISS | 143210243 |
| group | |
| classification | 1.01 |
| title | Machine learning-based multiparametric magnetic resonance imaging radiomics for prediction of H3K27M mutation in midline gliomas |
| ISSN | 1878-8750 |
| authors | 59234 |
| exclude | |
| firstAuthor | OTHER |
| MR | false |
| MRcoAuthor | false |
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