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Random Forest Regression for Magnetic Resonance Image Synthesis
By choosing different pulse sequences and their parameters, magnetic resonance imaging (MRI) can generate a large variety of tissue contrasts. This very flexibility, however, can yield inconsistencies with MRI acquisitions across datasets or scanning sessions that can in turn cause inconsistent auto...
Gorde:
| Argitaratua izan da: | Med Image Anal |
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| Egile Nagusiak: | , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
2016
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5099106/ https://ncbi.nlm.nih.gov/pubmed/27607469 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.media.2016.08.009 |
| Etiketak: |
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