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Cerebral Aneurysm Detection

Overview of attention for book
Cover of 'Cerebral Aneurysm Detection'

Table of Contents

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    Book Overview
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    Chapter 1 Cerebral Aneurysm Detection and Analysis Challenge 2020 (CADA)
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    Chapter 2 CADA: Clinical Background and Motivation
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    Chapter 3 Deep Learning-Based 3D U-Net Cerebral Aneurysm Detection
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    Chapter 4 Detect and Identify Aneurysms Based on Adjusted 3D Attention UNet
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    Chapter 5 A$$\nu $$-Net: Automatic Detection and Segmentation of Aneurysm
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    Chapter 6 3D Attention U-Net with Pretraining: A Solution to CADA-Aneurysm Segmentation Challenge
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    Chapter 7 Exploring Large Context for Cerebral Aneurysm Segmentation
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    Chapter 8 CADA Challenge: Rupture Risk Assessment Using Computational Fluid Dynamics
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    Chapter 9 Cerebral Aneurysm Rupture Risk Estimation Using XGBoost and Fully Connected Neural Network
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    Chapter 10 Intracranial Aneurysm Rupture Risk Estimation Utilizing Vessel-Graphs and Machine Learning
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    Chapter 11 Intracranial Aneurysm Rupture Prediction with Computational Fluid Dynamics Point Clouds
Attention for Chapter 11: Intracranial Aneurysm Rupture Prediction with Computational Fluid Dynamics Point Clouds
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Citations

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Chapter title
Intracranial Aneurysm Rupture Prediction with Computational Fluid Dynamics Point Clouds
Chapter number 11
Book title
Cerebral Aneurysm Detection
Published by
Springer, Cham, April 2021
DOI 10.1007/978-3-030-72862-5_11
Book ISBNs
978-3-03-072861-8, 978-3-03-072862-5
Authors

Matthias Ivantsits, Leonid Goubergrits, Jan Brüning, Andreas Spuler, Anja Hennemuth, Ivantsits, Matthias, Goubergrits, Leonid, Brüning, Jan, Spuler, Andreas, Hennemuth, Anja

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 100%
Readers by discipline Count As %
Unspecified 1 100%

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