Image Processing, Computer Vision, Pattern Recognition, and Graphics

Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging

MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers

Editors: Müller, H., Kelm, B.M., Arbel, T., Cai, W.T., Cardoso, M.J., Langs, G., Menze, B., Metaxas, D., Montillo, A., Wells III, W.M., Zhang, S., Chung, A.C.S., Jenkinson, M., Ribbens, A. (Eds.)

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About this book

This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision, MCV 2016, and of the International Workshop on Bayesian and grAphical Models for Biomedical Imaging, BAMBI 2016, held in Athens, Greece, in October 2016, held in conjunction with the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016.
The 13 papers presented in MCV workshop and the 6 papers presented in BAMBI workshop were carefully reviewed and selected from numerous submissions.
The goal of the MCV workshop is to explore the use of "big data” algorithms for harvesting, organizing and learning from large-scale medical imaging data sets and for general-purpose automatic understanding of medical images.
The BAMBI workshop aims to highlight the potential of using Bayesian or random field graphical models for advancing research in biomedical image analysis.

Table of contents (19 chapters)

Table of contents (19 chapters)
  • Constructing Subject- and Disease-Specific Effect Maps: Application to Neurodegenerative Diseases

    Konukoglu, Ender (et al.)

    Pages 3-13

  • BigBrain: Automated Cortical Parcellation and Comparison with Existing Brain Atlases

    Fournier, Marc (et al.)

    Pages 14-25

  • LATEST: Local AdapTivE and Sequential Training for Tissue Segmentation of Isointense Infant Brain MR Images

    Wang, Li (et al.)

    Pages 26-34

  • Landmark-Based Alzheimer’s Disease Diagnosis Using Longitudinal Structural MR Images

    Zhang, Jun (et al.)

    Pages 35-45

  • Inferring Disease Status by Non-parametric Probabilistic Embedding

    Batmanghelich, Nematollah Kayhan (et al.)

    Pages 49-57

Buy this book

eBook $54.99
price for USA in USD (gross)
  • ISBN 978-3-319-61188-4
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $69.99
price for USA in USD
  • ISBN 978-3-319-61187-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging
Book Subtitle
MICCAI 2016 International Workshops, MCV and BAMBI, Athens, Greece, October 21, 2016, Revised Selected Papers
Editors
  • Henning Müller
  • B. Michael Kelm
  • Tal Arbel
  • Weidong (Tom) Cai
  • M. Jorge Cardoso
  • Georg Langs
  • Bjoern Menze
  • Dimitris Metaxas
  • Albert Montillo
  • William M. Wells III
  • Shaoting Zhang
  • Albert C.S. Chung
  • Mark Jenkinson
  • Annemie Ribbens
Series Title
Image Processing, Computer Vision, Pattern Recognition, and Graphics
Series Volume
10081
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing AG
eBook ISBN
978-3-319-61188-4
DOI
10.1007/978-3-319-61188-4
Softcover ISBN
978-3-319-61187-7
Edition Number
1
Number of Pages
XIII, 222
Number of Illustrations
75 b/w illustrations
Topics