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© 2017

Medical Image Computing and Computer Assisted Intervention − MICCAI 2017

20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III

  • Maxime Descoteaux
  • Lena Maier-Hein
  • Alfred Franz
  • Pierre Jannin
  • D. Louis Collins
  • Simon Duchesne
Conference proceedings MICCAI 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10435)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 10435)

Table of contents

  1. Front Matter
    Pages I-XXVI
  2. Feature Extraction and Classification Techniques

    1. Front Matter
      Pages 1-1
    2. Mingxia Liu, Jun Zhang, Ehsan Adeli, Dinggang Shen
      Pages 3-11
    3. Pin Zhang, Bibo Shi, Charles D. Smith, Jundong Liu
      Pages 12-20
    4. Nitin Kumar, Ajit V. Rajwade, Sharat Chandran, Suyash P. Awate
      Pages 21-29
    5. Christian Wachinger, Anna Rieckmann, Martin Reuter
      Pages 30-37
    6. Benjamín Gutiérrez, Loïc Peter, Tassilo Klein, Christian Wachinger
      Pages 38-45
    7. Mingliang Wang, Xiaoke Hao, Jiashuang Huang, Kangcheng Wang, Xijia Xu, Daoqiang Zhang
      Pages 46-54
    8. Li Zhang, Dana Cobzas, Alan Wilman, Linglong Kong
      Pages 55-63
    9. Yun Gu, Khushi Vyas, Jie Yang, Guang-Zhong Yang
      Pages 64-71
    10. Xiaofeng Zhu, Kim-Han Thung, Ehsan Adeli, Yu Zhang, Dinggang Shen
      Pages 72-80
    11. John Treilhard, Susanne Smolka, Lawrence Staib, Julius Chapiro, MingDe Lin, Georgy Shakirin et al.
      Pages 81-88
    12. Yang Song, Hang Chang, Heng Huang, Weidong Cai
      Pages 99-106
    13. Xinwei Sun, Lingjing Hu, Yuan Yao, Yizhou Wang
      Pages 107-115
    14. Gabriele Abbati, Stefan Bauer, Sebastian Winklhofer, Peter J. Schüffler, Ulrike Held, Jakob M. Burgstaller et al.
      Pages 116-124
    15. Rui Li, Ping Wu, Igor Yakushev, Jian Wang, Sibylle I. Ziegler, Stefan Förster et al.
      Pages 125-133
    16. Sebastian J. Wirkert, Anant S. Vemuri, Hannes G. Kenngott, Sara Moccia, Michael Götz, Benjamin F. B. Mayer et al.
      Pages 134-141
    17. Mário João Fartaria, Alexis Roche, Reto Meuli, Cristina Granziera, Tobias Kober, Meritxell Bach Cuadra
      Pages 142-149
    18. Konstantin Dmitriev, Arie E. Kaufman, Ammar A. Javed, Ralph H. Hruban, Elliot K. Fishman, Anne Marie Lennon et al.
      Pages 150-158

Other volumes

  1. 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part I
  2. 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part II
  3. Medical Image Computing and Computer Assisted Intervention − MICCAI 2017
    20th International Conference, Quebec City, QC, Canada, September 11-13, 2017, Proceedings, Part III

About these proceedings

Introduction

The three-volume set LNCS 10433, 10434, and 10435 constitutes the refereed proceedings of the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, held inQuebec City, Canada, in September 2017.

The 255 revised full papers presented were carefully reviewed and selected from 800 submissions in a two-phase review process. The papers have been organized in the following topical sections: Part I: atlas and surface-based techniques; shape and patch-based techniques; registration techniques, functional imaging, connectivity, and brain parcellation; diffusion magnetic resonance imaging (dMRI) and tensor/fiber processing; and image segmentation and modelling. Part II: optical imaging; airway and vessel analysis; motion and cardiac analysis; tumor processing; planning and simulation for medical interventions; interventional imaging and navigation; and medical image computing. Part III: feature extraction and classification techniques; and machine learning in medical image computing.

Keywords

artificial intelligence computer vision estimation face recognition image analysis image processing image quality image reconstruction image registration image segmentation learning algorithms machine learning medical images motion estimation neural networks probability reconstruction segmentation methods signal processing Support Vector Machines (SVM)

Editors and affiliations

  1. 1.Université de SherbrookeSherbrookeCanada
  2. 2.DKFZHeidelbergGermany
  3. 3.Ulm University of Applied SciencesUlmGermany
  4. 4.Université de Rennes 1RennesFrance
  5. 5.McGill UniversityMontrealCanada
  6. 6.Université LavalQuébecCanada

Bibliographic information