Open AccessOverall survival prediction in glioblastoma patients using structural magnetic resonance imaging (MRI): advanced radiomic features may compensate for lack of advanced MRI modalities
Author(s) -
Spyridon Bakas,
Gaurav Shukla,
Hamed Akbari,
Güray Erus,
Aristeidis Sotiras,
Saima Rathore,
Chiharu Sako,
Sung Min Ha,
Martin Rozycki,
Russell T. Shinohara,
Michel Bilello,
Christos Davatzikos
Publication year - 2020
Publication title -
journal of medical imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.779
H-Index - 29
eISSN - 2329-4310
pISSN - 2329-4302
DOI - 10.1117/1.jmi.7.3.031505
Subject(s) - medicine , magnetic resonance imaging , glioblastoma , radiology , retrospective cohort study , radiomics , multivariate analysis , pathology , cancer research
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom