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Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with
  Deep Learning

Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning

11 June 2018
A. Hess
Raphael Meier
Johannes Kaesmacher
Simon Jung
Fabien Scalzo
D. Liebeskind
Roland Wiest
Richard McKinley
    MedIm
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Papers citing "Synthetic Perfusion Maps: Imaging Perfusion Deficits in DSC-MRI with Deep Learning"

2 / 2 papers shown
Title
Neural Network-derived perfusion maps: a Model-free approach to computed
  tomography perfusion in patients with acute ischemic stroke
Neural Network-derived perfusion maps: a Model-free approach to computed tomography perfusion in patients with acute ischemic stroke
U. Gava
F. D’Agata
Enzo Tartaglione
Marco Grangetto
F. Bertolino
A. Santocito
E. Bennink
M. Bergui
MedIm
16
7
0
15 Jan 2021
Prediction of final infarct volume from native CT perfusion and
  treatment parameters using deep learning
Prediction of final infarct volume from native CT perfusion and treatment parameters using deep learning
D. Robben
A. Boers
H. Marquering
L. Langezaal
Y. Roos
...
D. Dippel
C. Majoie
A. van der Lugt
Robin Lemmens
P. Suetens
12
72
0
06 Dec 2018
1