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1812.02496
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Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning
6 December 2018
D. Robben
A. Boers
H. Marquering
L. Langezaal
Y. Roos
R. Oostenbrugge
W. V. van Zwam
D. Dippel
C. Majoie
A. van der Lugt
Robin Lemmens
P. Suetens
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Papers citing
"Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning"
6 / 6 papers shown
Title
Perfusion parameter estimation using neural networks and data augmentation
D. Robben
P. Suetens
25
10
0
11 Oct 2018
Enhancing clinical MRI Perfusion maps with data-driven maps of complementary nature for lesion outcome prediction
Adriano Pinto
Sérgio Pereira
Raphael Meier
Victor Alves
Roland Wiest
Carlos Alberto Silva
M. Reyes
28
25
0
12 Jun 2018
Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning
A. Hess
Raphael Meier
Johannes Kaesmacher
Simon Jung
Fabien Scalzo
D. Liebeskind
Roland Wiest
Richard McKinley
MedIm
26
15
0
11 Jun 2018
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation
Konstantinos Kamnitsas
C. Ledig
Virginia Newcombe
Joanna P. Simpson
A. D. Kane
David Menon
Daniel Rueckert
Ben Glocker
MedIm
3DV
100
3,049
0
18 Mar 2016
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
226
43,154
0
11 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
107
18,534
0
06 Feb 2015
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