Noninvasive Molecular Subtyping of Pediatric Low-Grade Glioma with Self-Supervised Transfer Learning-Reference-Cited by-同舟云学术

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Noninvasive Molecular Subtyping of Pediatric Low-Grade Glioma with Self-Supervised Transfer Learning

Published:2024-05-01 Issue:3 Volume:6 Page:
ISSN:2638-6100
Container-title:Radiology: Artificial Intelligence
language:en
Short-container-title:Radiology: Artificial Intelligence

Author:

Tak Divyanshu^ORCID,Ye Zezhong^ORCID,Zapaischykova Anna^ORCID,Zha Yining^ORCID,Boyd Aidan^ORCID,Vajapeyam Sridhar^ORCID,Chopra Rishi^ORCID,Hayat Hasaan^ORCID,Prabhu Sanjay P.^ORCID,Liu Kevin X.^ORCID,Elhalawani Hesham,Nabavizadeh Ali^ORCID,Familiar Ariana^ORCID,Resnick Adam C.,Mueller Sabine,Aerts Hugo J. W. L.,Bandopadhayay Pratiti,Ligon Keith L.^ORCID,Haas-Kogan Daphne A.^ORCID,Poussaint Tina Y.^ORCID,Kann Benjamin H.^ORCID

Funder

National Institutes of Health

National Cancer Institute

European Union–European Research Council

Pediatric Brain Tumor Foundation

William M. Wood Foundation

Publisher

Radiological Society of North America (RSNA)

Link

http://pubs.rsna.org/doi/pdf/10.1148/ryai.230333

Reference33 articles.

1. CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2015–2019

2. BRAF and MEK Targeted Therapies in Pediatric Central Nervous System Tumors

4. Homozygous deletion of CDKN2A by fluorescence in situ hybridization is prognostic in grade 4, but not grade 2 or 3, IDH-mutant astrocytomas

5. Pediatric Low-Grade Gliomas

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1. Radiogenomics: bridging the gap between imaging and genomics for precision oncology;MedComm;2024-09

2. Beyond hand-crafted features for pretherapeutic molecular status identification of pediatric low-grade gliomas;Scientific Reports;2024-08-17

3. Applications of machine learning to MR imaging of pediatric low-grade gliomas;Child's Nervous System;2024-07-08

4. Stepwise Transfer Learning for Expert-level Pediatric Brain Tumor MRI Segmentation in a Limited Data Scenario;Radiology: Artificial Intelligence;2024-07-01

5. Longitudinal risk prediction for pediatric glioma with temporal deep learning;2024-06-05

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