Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Florian Amstutz"'
Autor:
Carol Oliveira, Florian Amstutz, Diem Vuong, Marta Bogowicz, Martin Hüllner, Robert Foerster, Lucas Basler, Christina Schröder, Eric I. Eboulet, Miklos Pless, Sandra Thierstein, Solange Peters, Sven Hillinger, Stephanie Tanadini-Lang, Matthias Guckenberger
Publikováno v:
EJNMMI Research, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract Background Radiomics is a promising tool for identifying imaging-based biomarkers. Radiomics-based models are often trained on single-institution datasets; however, multi-centre imaging datasets are preferred for external generalizability ow
Externí odkaz:
https://doaj.org/article/1ad966f033bb42ae909229556b083571
Autor:
Francesca Albertini, Antony J. Lomax, Ye Zhang, Jan Unkelbach, Cássia O. Ribeiro, Lena Nenoff, Antje-Christin Knopf, Florian Amstutz, Damien C. Weber
Publikováno v:
Physics in Medicine and Biology, 66(10):105007, 1-12. IOP PUBLISHING LTD
Background and purpose Deformable image registration (DIR) is an important component for dose accumulation and associated clinical outcome evaluation in radiotherapy. However, as an ill-posed problem, the resulting deformation vector field (DVF) is s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e303fc17ee0c2878f09f517dc53f3f6
https://doi.org/10.1088/1361-6560/abf8f5
https://doi.org/10.1088/1361-6560/abf8f5
Autor:
Jan Unkelbach, Stephanie Tanadini-Lang, Diem Vuong, Carol Oliveira, Hubert S. Gabryś, Matthias Guckenberger, Sven Hillinger, Robert Foerster, Florian Amstutz, Sandra Thierstein, Solange Peters, Miklos Pless, Marta Bogowicz, A. Xyrafas, S. Denzler
Publikováno v:
Medical physicsREFERENCES. 47(9)
BACKGROUND Radiomics is a promising tool for the identification of new prognostic biomarkers. Radiomic features can be affected by different scanning protocols, often present in retrospective and prospective clinical data. We compared a computed tomo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f96e0dad7784d9d9b6c30110239807b0
https://pubmed.ncbi.nlm.nih.gov/32395833
https://pubmed.ncbi.nlm.nih.gov/32395833