| Previous ID Next ID Search for '239055363' |
5001: Papers(Old)
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| DOI | 10.1088/1361-6560/add9df |
| category | 1 |
| imaging | 0.7154016494750977 |
| therapy | 0.7121011018753052 |
| modeling | 0.5499988794326782 |
| wos_citations | 1 |
| scopus_citations | 1 |
| COBISS | 239055363 |
| group | |
| classification | |
| title | |
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| authors | |
5002: Papers
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| DOI | 10.1088/1361-6560/add9df |
| category | 1 |
| imaging | 0.7144819498062134 |
| therapy | 0.6689040064811707 |
| modeling | 0.6792495548725128 |
| year | 2025 |
| citedness | 2.5685595567867034 |
| wos_citations | 1 |
| scopus_citations | 1 |
| COBISS | 239055363 |
| group | |
| classification | 1.01 |
| title | Uncertainty quantification for deep learning-based metastatic lesion segmentation on whole body PET/CT |
| ISSN | 0031-9155 |
| authors | 53651;15737 |
| exclude | |
| firstAuthor | OTHER |
| MR | false |
| MRcoAuthor | true |