Home > Publications database > Development of Machine Learning-based Spatially and Temporally Resolved 4D Radiomics in Radiation Oncology > print

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005     20240229145757.0
037 _ _ |a DKFZ-2023-00164
100 1 _ |0 P:(DE-He78)79918c052ca39dd75a283e1a6e50a521
|a Sforazzini, Francesco
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245 _ _ |a Development of Machine Learning-based Spatially and Temporally Resolved 4D Radiomics in Radiation Oncology
260 _ _ |c 2022
336 7 _ |2 DataCite
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336 7 _ |2 ORCID
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336 7 _ |2 BibTeX
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336 7 _ |0 2
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336 7 _ |2 DRIVER
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502 _ _ |a Dissertation, Universität Heidelberg, 2022
|b Dissertation
|c Universität Heidelberg
|g Medizinische Fakultät
536 _ _ |0 G:(DE-HGF)POF4-315
|a 315 - Bildgebung und Radioonkologie (POF4-315)
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|a Deutsches Krebsforschungszentrum
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914 1 _ |y 2022
920 1 _ |0 I:(DE-He78)E040-20160331
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|l E040 Med. Physik in der Strahlentherapie
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980 _ _ |a phd
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980 _ _ |a I:(DE-He78)E040-20160331
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