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Machine learning and glioma imaging biomarkers

Machine learning and glioma imaging biomarkers

Clinical Radiology (Clin Radiol), 2019
28 August 2019
Thomas C Booth
M. Williams
A. Luis
Jorge Cardoso
A. Keyoumars
Haris Shuaib
ArXiv (abs)PDFHTML

Papers citing "Machine learning and glioma imaging biomarkers"

5 / 5 papers shown
Title
The added value for MRI radiomics and deep-learning for glioblastoma prognostication compared to clinical and molecular information
The added value for MRI radiomics and deep-learning for glioblastoma prognostication compared to clinical and molecular information
D. Abler
O. Pusterla
A. Joye-Kühnis
N. Andratschke
M. Bach
...
R. Wiest
S. Zoergiebel
M. Guckenberger
S. Tanadini-Lang
A. Depeursinge
AI4CE
72
0
0
21 Jul 2025
Prediction of MGMT Methylation Status of Glioblastoma using Radiomics
  and Latent Space Shape Features
Prediction of MGMT Methylation Status of Glioblastoma using Radiomics and Latent Space Shape Features
Sveinn Pálsson
Stefano Cerri
Koen van Leemput
139
15
0
25 Sep 2021
Predicting survival of glioblastoma from automatic whole-brain and tumor
  segmentation of MR images
Predicting survival of glioblastoma from automatic whole-brain and tumor segmentation of MR imagesScientific Reports (Sci Rep), 2021
Sveinn Pálsson
Stefano Cerri
H. Poulsen
T. Urup
I. Law
Koen van Leemput
83
15
0
25 Sep 2021
Machine Learning and Glioblastoma: Treatment Response Monitoring
  Biomarkers in 2021
Machine Learning and Glioblastoma: Treatment Response Monitoring Biomarkers in 2021
Thomas C Booth
Bernice Akpinar
A. Roman
Haris Shuaib
A. Luis
...
B. Alparslan
Nina Mansoor
K. Ashkan
Sebastien Ourselin
Marc Modat
97
4
0
15 Apr 2021
Artificial Intelligence in Glioma Imaging: Challenges and Advances
Artificial Intelligence in Glioma Imaging: Challenges and AdvancesJournal of Neural Engineering (J. Neural Eng.), 2019
Weina Jin
M. Fatehi
Kumar Abhishek
Mayur Mallya
B. Toyota
Ghassan Hamarneh
327
43
0
28 Nov 2019
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