Systematic Literature Review of Machine Learning Algorithms Using Pretherapy Radiologic Imaging for Glioma Molecular Subtype Prediction-Reference-Cited by-同舟云学术

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Systematic Literature Review of Machine Learning Algorithms Using Pretherapy Radiologic Imaging for Glioma Molecular Subtype Prediction

Published:2023-09-28 Issue:10 Volume:44 Page:1126-1134
ISSN:0195-6108
Container-title:American Journal of Neuroradiology
language:en
Short-container-title:AJNR Am J Neuroradiol

Author:

Lost Jan^ORCID,Verma Tej^ORCID,Jekel Leon,von Reppert Marc^ORCID,Tillmanns Niklas^ORCID,Merkaj Sara^ORCID,Petersen Gabriel Cassinelli^ORCID,Bahar Ryan^ORCID,Gordem Ayyüce^ORCID,Haider Muhammad A.,Subramanian Harry^ORCID,Brim Waverly,Ikuta Ichiro^ORCID,Omuro Antonio^ORCID,Conte Gian Marco^ORCID,Marquez-Nostra Bernadette V.,Avesta Arman^ORCID,Bousabarah Khaled,Nabavizadeh Ali,Kazerooni Anahita Fathi^ORCID,Aneja Sanjay^ORCID,Bakas Spyridon^ORCID,Lin MingDe^ORCID,Sabel Michael,Aboian Mariam^ORCID

Funder

National Center for Advancing Translational Science (NCATS) - KL2

UL1

Publisher

American Society of Neuroradiology (ASNR)

Subject

Neurology (clinical),Radiology, Nuclear Medicine and imaging

Reference42 articles.

1. Glioma Therapy in Adults

2. Johns Hopkins Medicine. Gliomas. June 27, 2022. https://www.hopkinsmedicine.org/health/conditions-and-diseases/gliomas. Accessed June 27, 2022

3. The 2021 WHO Classification of Tumors of the Central Nervous System: a summary

4. Molecular Heterogeneity in Glioblastoma: Potential Clinical Implications

5. Glioblastoma Heterogeneity and Cancer Cell Plasticity

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