Advertisement

Computational Methods and Clinical Applications for Spine Imaging

5th International Workshop and Challenge, CSI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers

  • Guoyan Zheng
  • Daniel Belavy
  • Yunliang Cai
  • Shuo Li
Conference proceedings CSI 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11397)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 11397)

Table of contents

  1. Front Matter
    Pages i-x
  2. Regular Papers

    1. Front Matter
      Pages 1-1
    2. Antal Horváth, Charidimos Tsagkas, Simon Andermatt, Simon Pezold, Katrin Parmar, Philippe Cattin
      Pages 3-14
    3. Amir Jamaludin, Timor Kadir, Emma Clark, Andrew Zisserman
      Pages 15-28
    4. Houssem-Eddine Gueziri, D. Louis Collins
      Pages 29-40
    5. Dimitrios Damopoulos, Daniel Haschtmann, Tamás F. Fekete, Guoyan Zheng
      Pages 41-52
    6. Jakub Ceranka, Sabrina Verga, Frédéric Lecouvet, Thierry Metens, Johan de Mey, Jef Vandemeulebroucke
      Pages 77-89
    7. Michel A. Audette, Jerome Schmid, Craig Goodmurphy, Michael Polanco, Sebastian Bawab, Austin Tapp et al.
      Pages 90-102
  3. IVDM3Seg Challenge

  4. Back Matter
    Pages 173-181

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 5th International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018.
The 8 full papers presented together with 8 short papers and 1 keynote were carefully reviewed and selected for inclusion in this volume. Papers on novel methodology and clinical research, and also papers which demonstrate the performance of methods on the provided challenges, the aim is to cover both theoretical and very practical aspects of computerized spinal imaging.

 

Keywords

artificial intelligence image analysis image processing image reconstruction image segmentation imaging systems medical images medical imaging neural networks segmentation methods computer-aided diagnosis deep learning image registration image-guided spine intervention medical image analysis spine imaging vertebra detection

Editors and affiliations

  • Guoyan Zheng
    • 1
  • Daniel Belavy
    • 2
  • Yunliang Cai
    • 3
  • Shuo Li
    • 4
  1. 1.University of BernBernSwitzerland
  2. 2.Deakin UniversityBurwoodAustralia
  3. 3.Worcester Polytechnic InstituteWorcesterUSA
  4. 4.Western UniversityLondonCanada

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-13736-6
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-13735-9
  • Online ISBN 978-3-030-13736-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
Industry Sectors
Pharma
Automotive
Chemical Manufacturing
Health & Hospitals
Biotechnology
Electronics
IT & Software
Telecommunications
Law
Consumer Packaged Goods
Aerospace
Engineering