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AIFNet: Automatic Vascular Function Estimation for Perfusion Analysis
  Using Deep Learning

AIFNet: Automatic Vascular Function Estimation for Perfusion Analysis Using Deep Learning

4 October 2020
Ezequiel de la Rosa
Diana Sima
Bjoern H. Menze
Jan S. Kirschke
D. Robben
ArXivPDFHTML

Papers citing "AIFNet: Automatic Vascular Function Estimation for Perfusion Analysis Using Deep Learning"

3 / 3 papers shown
Title
Detection of the Arterial Input Function Using DSC-MRI Data
Detection of the Arterial Input Function Using DSC-MRI Data
Svitlana Alkhimova
KA Sazonova
14
0
0
04 Mar 2023
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion
  segmentation dataset
ISLES 2022: A multi-center magnetic resonance imaging stroke lesion segmentation dataset
M. H. Petzsche
Ezequiel de la Rosa
U. Hanning
Roland Wiest
Waldo Enrique Valenzuela Pinilla
...
T. Boeckh-Behrens
M. Berndt
B. Ikenberg
Benedikt Wiestler
Jan S. Kirschke
OOD
20
115
0
14 Jun 2022
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
14
7
0
15 Jan 2021
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