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Artificial Intelligence in Glioma Imaging: Challenges and Advances

Artificial Intelligence in Glioma Imaging: Challenges and Advances

28 November 2019
Weina Jin
M. Fatehi
Kumar Abhishek
Mayur Mallya
B. Toyota
Ghassan Hamarneh
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Papers citing "Artificial Intelligence in Glioma Imaging: Challenges and Advances"

4 / 4 papers shown
Title
Investigating certain choices of CNN configurations for brain lesion
  segmentation
Investigating certain choices of CNN configurations for brain lesion segmentation
Masoomeh Rahimpour
A. Radwan
Henri Vandermeulen
S. Sunaert
K. Goffin
M. Koole
35
1
0
02 Dec 2022
Deep Semantic Segmentation of Natural and Medical Images: A Review
Deep Semantic Segmentation of Natural and Medical Images: A Review
Saeid Asgari Taghanaki
Kumar Abhishek
Joseph Paul Cohen
Julien Cohen-Adad
Ghassan Hamarneh
SSeg
VLM
31
666
0
16 Oct 2019
Machine learning and glioma imaging biomarkers
Machine learning and glioma imaging biomarkers
Thomas C Booth
M. Williams
A. Luis
Jorge Cardoso
A. Keyoumars
Haris Shuaib
38
81
0
28 Aug 2019
MRI Tumor Segmentation with Densely Connected 3D CNN
MRI Tumor Segmentation with Densely Connected 3D CNN
Lele Chen
Yue Wu
Adora M. DSouza
A. Abidin
A. Wismüller
Chenliang Xu
31
119
0
18 Jan 2018
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