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

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.

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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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