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Cerebral Aneurysm Detection and Analysis

First Challenge, CADA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Anja Hennemuth

    1. Charité – Universitätsmedizin Berlin, Berlin, Germany

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  2. Leonid Goubergrits

    1. Charité – Universitätsmedizin Berlin, Berlin, Germany

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  3. Matthias Ivantsits

    1. Charité – Universitätsmedizin Berlin, Berlin, Germany

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  4. Jan-Martin Kuhnigk

    1. Fraunhofer Institute for Digital Medicine MEVIS, Berlin, Germany

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12643)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Included in the following conference series:

Conference proceedings info: CADA 2020.

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Table of contents (12 papers)

  1. Front Matter

    Pages i-x
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  2. Overview of the CADA Challenge at MICCAI 2020

    1. Front Matter

      Pages 1-1
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    2. Cerebral Aneurysm Detection and Analysis Challenge 2020 (CADA)

      • Matthias Ivantsits, Leonid Goubergrits, Jan-Martin Kuhnigk, Markus Huellebrand, Jan Brüning, Tabea Kossen et al.
      Pages 3-17

  3. Introduction

    1. Front Matter

      Pages 19-19
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    2. CADA: Clinical Background and Motivation

      • Andreas Spuler, Leonid Goubergrits
      Pages 21-28

  4. Cerebral Aneurysm Detection

    1. Front Matter

      Pages 29-29
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    2. Deep Learning-Based 3D U-Net Cerebral Aneurysm Detection

      • Matthias Ivantsits, Jan-Martin Kuhnigk, Markus Huellebrand, Titus Kuehne, Anja Hennemuth
      Pages 31-38

    3. Detect and Identify Aneurysms Based on Adjusted 3D Attention UNet

      • Yizhuan Jia, Weibin Liao, Yi Lv, Ziyu Su, Jiaqi Dou, Zhongwei Sun et al.
      Pages 39-48

  5. Cerebral Aneurysm Segmentation

    1. Front Matter

      Pages 49-49
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    2. A\(\nu \)-Net: Automatic Detection and Segmentation of Aneurysm

      • Suprosanna Shit, Ivan Ezhov, Johannes C. Paetzold, Bjoern Menze
      Pages 51-57

    3. 3D Attention U-Net with Pretraining: A Solution to CADA-Aneurysm Segmentation Challenge

      • Ziyu Su, Yizhuan Jia, Weibin Liao, Yi Lv, Jiaqi Dou, Zhongwei Sun et al.
      Pages 58-67

    4. Exploring Large Context for Cerebral Aneurysm Segmentation

      • Jun Ma, Ziwei Nie
      Pages 68-72

  6. Cerebral Aneurysm Rupture Risk Estimation

    1. Front Matter

      Pages 73-73
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    2. CADA Challenge: Rupture Risk Assessment Using Computational Fluid Dynamics

      • Kartik Jain
      Pages 75-86

    3. Cerebral Aneurysm Rupture Risk Estimation Using XGBoost and Fully Connected Neural Network

      • Yanfei Liu, Yunqiao Yang, Yi Lin, Yuexiang Li, Dong Wei, Kai Ma et al.
      Pages 87-92

    4. Intracranial Aneurysm Rupture Risk Estimation Utilizing Vessel-Graphs and Machine Learning

      • Matthias Ivantsits, Markus Huellebrand, Sebastian Kelle, Titus Kuehne, Anja Hennemuth
      Pages 93-103

    5. Intracranial Aneurysm Rupture Prediction with Computational Fluid Dynamics Point Clouds

      • Matthias Ivantsits, Leonid Goubergrits, Jan Brüning, Andreas Spuler, Anja Hennemuth
      Pages 104-112

  7. Correction to: Cerebral Aneurysm Detection and Analysis

    • Anja Hennemuth, Leonid Goubergrits, Matthias Ivantsits, Jan-Martin Kuhnigk
    Pages C1-C1

  8. Back Matter

    Pages 113-113
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Other volumes

  1. Cerebral Aneurysm Detection and Analysis

Keywords

About this book

This book constitutes the First Cerebral Aneurysm Detection Challenge, CADA 2020, which was held in conjunction with the 23rd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2020, in October 2020. The conference was planned to take place in Lima, Peru, and took place virtually due to the COVID-19 pandemic.

The 9 regular papers presented in this volume, together with an overview and one introduction paper, were carefully reviewed and selected for inclusion in the book. The papers were organized in topical sections as follows: cerebral aneurysm detection; cerebral aneurysm segmentation; and cerebral aneurysm rupture risk estimation.

Editors and Affiliations

  • Charité – Universitätsmedizin Berlin, Berlin, Germany

    Anja Hennemuth, Leonid Goubergrits, Matthias Ivantsits

  • Fraunhofer Institute for Digital Medicine MEVIS, Berlin, Germany

    Jan-Martin Kuhnigk

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