Home > Publications database > Machine learning using radiomics and dosiomics for normal tissue complication probabilitymodeling of radiation-induced xerostomia > print |
001 | 148700 | ||
005 | 20240229112707.0 | ||
037 | _ | _ | |a DKFZ-2019-03226 |
100 | 1 | _ | |a Gabrys, Hubert |0 P:(DE-He78)ee06f8e4345f9f83ac70f0bce435f58a |b 0 |g male |
245 | _ | _ | |a Machine learning using radiomics and dosiomics for normal tissue complication probabilitymodeling of radiation-induced xerostomia |
260 | _ | _ | |c 2019 |
336 | 7 | _ | |a Output Types/Dissertation |2 DataCite |
336 | 7 | _ | |a DISSERTATION |2 ORCID |
336 | 7 | _ | |a PHDTHESIS |2 BibTeX |
336 | 7 | _ | |a Thesis |0 2 |2 EndNote |
336 | 7 | _ | |a Dissertation / PhD Thesis |b phd |m phd |0 PUB:(DE-HGF)11 |s 1579176572_11252 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a doctoralThesis |2 DRIVER |
502 | _ | _ | |a Dissertation, Universität Heidelberg, 2019 |c Universität Heidelberg |b Dissertation |g Medizinische Fakultät Heidelberg |
536 | _ | _ | |a 315 - Imaging and radiooncology (POF3-315) |0 G:(DE-HGF)POF3-315 |c POF3-315 |f POF III |x 0 |
909 | C | O | |p VDB |o oai:inrepo02.dkfz.de:148700 |
910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 0 |6 P:(DE-He78)ee06f8e4345f9f83ac70f0bce435f58a |
913 | 1 | _ | |a DE-HGF |l Krebsforschung |1 G:(DE-HGF)POF3-310 |0 G:(DE-HGF)POF3-315 |2 G:(DE-HGF)POF3-300 |v Imaging and radiooncology |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |b Gesundheit |
914 | 1 | _ | |y 2019 |
920 | 1 | _ | |0 I:(DE-He78)E040-20160331 |k E040 |l Medizinische Physik in der Strahlentherapie |x 0 |
980 | _ | _ | |a phd |
980 | _ | _ | |a VDB |
980 | _ | _ | |a I:(DE-He78)E040-20160331 |
980 | _ | _ | |a UNRESTRICTED |
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