MRI-based machine learning for determining quantitative and qualitative characteristics affecting the survival of glioblastoma multiforme.

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7 Citations (Web of Science)

Keywords

@article{e438fa2d327b4db6acb66f2d00dbbfe7,

title = "MRI-based machine learning for determining quantitative and qualitative characteristics affecting the survival of glioblastoma multiforme.",

keywords = "IMAGING BIOMARKERS, FEATURES, PROGNOSIS, SHAPE",

author = "Mahdie Jajroudi and Milad Enferadi and Homayoun, \{Amir Azar\} and Reza Reiazi",

note = "Enferadi: Paracelsus Med Univ, Univ Hosp Salzburg, Dept Nucl Med, Div Mol Imaging *** Theranost, Salzburg, Austria; [",

year = "2022",

doi = "10.1016/j.mri.2021.10.023",

language = "English",

volume = "85",

pages = "222--227",

journal = "MAGNETIC RESONANCE IMAGING",

issn = "0730-725X",

}

TY - JOUR

T1 - MRI-based machine learning for determining quantitative and qualitative characteristics affecting the survival of glioblastoma multiforme.

AU - Jajroudi, Mahdie

AU - Enferadi, Milad

AU - Homayoun, Amir Azar

AU - Reiazi, Reza

N1 - Enferadi: Paracelsus Med Univ, Univ Hosp Salzburg, Dept Nucl Med, Div Mol Imaging *** Theranost, Salzburg, Austria; [

PY - 2022

Y1 - 2022

KW - IMAGING BIOMARKERS

KW - FEATURES

KW - PROGNOSIS

KW - SHAPE

U2 - 10.1016/j.mri.2021.10.023

DO - 10.1016/j.mri.2021.10.023

M3 - Original Article

C2 - 34687850

SN - 0730-725X

VL - 85

SP - 222

EP - 227

JO - MAGNETIC RESONANCE IMAGING

JF - MAGNETIC RESONANCE IMAGING

ER -