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CT Perfusion is All We Need: 4D CNN Segmentation of Penumbra and Core in
  Patients With Suspected Ischemic Stroke

CT Perfusion is All We Need: 4D CNN Segmentation of Penumbra and Core in Patients With Suspected Ischemic Stroke

15 March 2023
Luca Tomasetti
K. Engan
Liv Jorunn Høllesli
K. D. Kurz
M. Khanmohammadi
ArXivPDFHTML

Papers citing "CT Perfusion is All We Need: 4D CNN Segmentation of Penumbra and Core in Patients With Suspected Ischemic Stroke"

2 / 2 papers shown
Title
Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion
  Segmentation
Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion Segmentation
Luca Tomasetti
Stine Hansen
M. Khanmohammadi
K. Engan
Liv Jorunn Høllesli
K. D. Kurz
Michael C. Kampffmeyer
19
3
0
02 Mar 2023
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,138
0
06 Jun 2015
1