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Fast meningioma segmentation in T1-weighted MRI volumes using a lightweight 3D deep learning architecture

Fast meningioma segmentation in T1-weighted MRI volumes using a lightweight 3D deep learning architecture

D. Bouget
André Pedersen
Sayied Abdol Mohieb Hosainey
J. Vanel
O. Solheim
Ingerid Reinertsen
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Papers citing "Fast meningioma segmentation in T1-weighted MRI volumes using a lightweight 3D deep learning architecture"

2 / 2 papers shown
Title
Preoperative brain tumor imaging: models and software for segmentation and standardized reporting
Preoperative brain tumor imaging: models and software for segmentation and standardized reporting
D. Bouget
André Pedersen
A. Jakola
V. Kavouridis
K. Emblem
...
M. Witte
A. Zwinderman
P. D. W. Hamer
O. Solheim
Ingerid Reinertsen
28
21
0
29 Apr 2022
Brain Tumor Segmentation using an Ensemble of 3D U-Nets and Overall Survival Prediction using Radiomic Features
Brain Tumor Segmentation using an Ensemble of 3D U-Nets and Overall Survival Prediction using Radiomic Features
Xue Feng
Nicholas J. Tustison
C. Meyer
45
224
0
03 Dec 2018