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1 Ergebnisse
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Artificial intelligence (AI)-based decision support improve..:
Vollmuth, Philipp
;
Foltyn, Martha
;
Huang, Raymond Y
...
qt5c26t7jk. , 2023
Link:
https://escholarship.org/uc/item/5c26t7jk
RT Journal T1
Artificial intelligence (AI)-based decision support improves reproducibility of tumor response assessment in neuro-oncology: An international multi-reader study
UL https://suche.suub.uni-bremen.de/peid=base-ftcdlib:oai:escholarship.org:ark:_13030_qt5c26t7jk&Exemplar=1&LAN=DE A1 Vollmuth, Philipp A1 Foltyn, Martha A1 Huang, Raymond Y A1 Galldiks, Norbert A1 Petersen, Jens A1 Isensee, Fabian A1 van den Bent, Martin J A1 Barkhof, Frederik A1 Park, Ji Eun A1 Park, Yae Won A1 Ahn, Sung Soo A1 Brugnara, Gianluca A1 Meredig, Hagen A1 Jain, Rajan A1 Smits, Marion A1 Pope, Whitney B A1 Maier-Hein, Klaus A1 Weller, Michael A1 Wen, Patrick Y A1 Wick, Wolfgang A1 Bendszus, Martin PB eScholarship, University of California YR 2023 K1 Biomedical and Clinical Sciences K1 Clinical Sciences K1 Oncology and Carcinogenesis K1 Rare Diseases K1 Neurosciences K1 Brain Cancer K1 Clinical Research K1 Brain Disorders K1 Cancer K1 Humans K1 Glioblastoma K1 Brain Neoplasms K1 Artificial Intelligence K1 Reproducibility of Results K1 Glioma K1 Artificial intelligence (AI)-based decision support K1 RANO K1 tumor response assessment K1 tumor volumetry K1 Oncology & Carcinogenesis JF qt5c26t7jk LK http://dx.doi.org/https://escholarship.org/uc/item/5c26t7jk DO https://escholarship.org/uc/item/5c26t7jk SF ELIB - SuUB Bremen
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