Learning MRI-based classification models for MGMT methylation status prediction in glioblastoma-Reference-Cited by-同舟云学术

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Learning MRI-based classification models for MGMT methylation status prediction in glioblastoma

Published:2017-03 Issue: Volume:140 Page:249-257
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Kanas Vasileios G.,Zacharaki Evangelia I.,Thomas Ginu A.,Zinn Pascal O.,Megalooikonomou Vasileios,Colen Rivka R.

Funder

European Union

National Strategic Reference Framework

European Research Council

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference58 articles.

1. MGMT promoter methylation in malignant gliomas: ready for personalized medicine?;Weller;Nat. Rev. Neurol.,2010

2. NOA-04 randomized phase III trial of sequential radiochemotherapy of anaplastic glioma with procarbazine, lomustine, and vincristine or temozolomide;Wick;J. Clin. Oncol.,2009

3. MGMT gene silencing and benefit from temozolomide in glioblastoma;Hegi;N. Engl. J. Med.,2005

4. MGMT promoter methylation correlates with survival benefit and sensitivity to temozolomide in pediatric glioblastoma;Donson;Pediatr. Blood Cancer,2007

5. Extent of MGMT promoter methylation correlates with outcome in glioblastomas given temozolomide and radiotherapy;Dunn;Br. J. Cancer.,2009

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1. Preoperative prediction of MGMT promoter methylation in glioblastoma based on multiregional and multi-sequence MRI radiomics analysis;Scientific Reports;2024-07-11

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3. Deep Learning for Glioblastoma Subtyping: Leveraging DenseNet-201 in Brain Tumor Radiogenomic Classification;2024 International Conference on Cognitive Robotics and Intelligent Systems (ICC - ROBINS);2024-04-17

4. CDPNet: a radiomic feature learning method with epigenetic application to estimating MGMT promoter methylation status in glioblastoma;Medical Imaging 2024: Clinical and Biomedical Imaging;2024-04-02

5. Deep learning convolutional neural network ResNet101 and radiomic features accurately analyzes mpMRI imaging to predict MGMT promoter methylation status with transfer learning approach;International Journal of Imaging Systems and Technology;2024-03

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