Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries

Third International Workshop, BrainLes 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Revised Selected Papers

  • Alessandro Crimi
  • Spyridon Bakas
  • Hugo Kuijf
  • Bjoern Menze
  • Mauricio Reyes
Conference proceedings BrainLes 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10670)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 10670)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Invited Talks

    1. Front Matter
      Pages 1-1
    2. Ipek Oguz, Aaron Carass, Dzung L. Pham, Snehashis Roy, Nagesh Subbana, Peter A. Calabresi et al.
      Pages 3-14
    3. Andrew Doyle, Colm Elliott, Zahra Karimaghaloo, Nagesh Subbanna, Douglas L. Arnold, Tal Arbel
      Pages 15-28
  3. Brain Lesion Image Analysis

    1. Front Matter
      Pages 29-29
    2. Greg M. Fleishman, Alessandra Valcarcel, Dzung L. Pham, Snehashis Roy, Peter A. Calabresi, Paul Yushkevich et al.
      Pages 43-54
    3. Lucas Fidon, Wenqi Li, Luis C. Garcia-Peraza-Herrera, Jinendra Ekanayake, Neil Kitchen, Sébastien Ourselin et al.
      Pages 64-76
    4. Christophe Maggia, Thomas Mistral, Senan Doyle, Florence Forbes, Alexandre Krainik, Damien Galanaud et al.
      Pages 88-99
    5. Matt Higger, Martha Shenton, Sylvain Bouix
      Pages 100-110
    6. Senan Doyle, Florence Forbes, Assia Jaillard, Olivier Heck, Olivier Detante, Michel Dojat
      Pages 111-122
    7. Zeju Li, Yuanyuan Wang, Jinhua Yu
      Pages 123-132
    8. Saima Rathore, Spyridon Bakas, Sarthak Pati, Hamed Akbari, Ratheesh Kalarot, Patmaa Sridharan et al.
      Pages 133-145
  4. Brain Tumor Image Segmentation

    1. Front Matter
      Pages 147-147
    2. Yuexiang Li, Linlin Shen
      Pages 149-158
    3. Ashish Phophalia, Pradipta Maji
      Pages 159-168
    4. Guotai Wang, Wenqi Li, Sébastien Ourselin, Tom Vercauteren
      Pages 178-190

About these proceedings

Introduction

This book constitutes revised selected papers from the Third International MICCAI Brainlesion Workshop, BrainLes 2017, as well as the International Multimodal Brain Tumor Segmentation, BraTS, and White Matter Hyperintensities, WMH, segmentation challenges, which were held jointly at the Medical Image computing for Computer Assisted Intervention Conference, MICCAI, in Quebec City, Canada, in September 2017.

The 40 papers presented in this volume were carefully reviewed and selected from 46 submissions. They were organized in topical sections named: brain lesion image analysis; brain tumor image segmentation; and ischemic stroke lesion image segmentation.

Keywords

artificial intelligence automatic segmentations biocommunications classification computer vision cross-validation decision trees estimation image analysis support vector machines (SVM) image segmentation machine learning mean square error medical images neural networks random forests regression analysis regression model segmentation methods semantics

Editors and affiliations

  • Alessandro Crimi
    • 1
  • Spyridon Bakas
    • 2
  • Hugo Kuijf
    • 3
  • Bjoern Menze
    • 4
  • Mauricio Reyes
    • 5
  1. 1.African Institute of Mathematical SciencesCape TownGhana
  2. 2.University of PennsylvaniaPhiladelphiaUSA
  3. 3.University Medical Center UtrechtUtrechtThe Netherlands
  4. 4.Technical University MunichMunichGermany
  5. 5.Universität BernBernSwitzerland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-75238-9
  • Copyright Information Springer International Publishing AG, part of Springer Nature 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-75237-2
  • Online ISBN 978-3-319-75238-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book