Advertisement

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

  • Henning Müller
  • B. Michael Kelm
  • Tal Arbel
  • Weidong 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
Conference proceedings BAMBI 2016, MCV 2016

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10081)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 10081)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. MCV Workshop: Brain Imaging

    1. Front Matter
      Pages 1-1
    2. Marc Fournier, Lindsay B. Lewis, Alan C. Evans
      Pages 14-25
    3. Li Wang, Yaozong Gao, Gang Li, Feng Shi, Weili Lin, Dinggang Shen
      Pages 26-34
    4. Jun Zhang, Mingxia Liu, Le An, Yaozong Gao, Dinggang Shen
      Pages 35-45
  3. MCV Workshop: Lung Imaging

    1. Front Matter
      Pages 47-47
    2. Nematollah Kayhan Batmanghelich, Ardavan Saeedi, Raul San Jose Estepar, Michael Cho, William M. Wells III
      Pages 49-57
    3. Yashin Dicente Cid, Henning Müller, Alexandra Platon, Jean–Paul Janssens, Frédéric Lador, Pierre–Alexandre Poletti et al.
      Pages 58-68
    4. Jie Yang, Elsa D. Angelini, Benjamin M. Smith, John H. M. Austin, Eric A. Hoffman, David A. Bluemke et al.
      Pages 69-80
  4. MCV Workshop: Segmentation, Detection, and Classification

    1. Front Matter
      Pages 81-81
    2. Janine Thoma, Firat Ozdemir, Orcun Goksel
      Pages 83-93
    3. Naji Khosravan, Haydar Celik, Baris Turkbey, Ruida Cheng, Evan McCreedy, Matthew McAuliffe et al.
      Pages 94-104
    4. Nitin Agarwal, Xiangmin Xu, M. Gopi
      Pages 105-115
    5. Yutong Xie, Jianpeng Zhang, Sidong Liu, Weidong Cai, Yong Xia
      Pages 116-125
    6. Gijs van Tulder, Marleen de Bruijne
      Pages 126-136
  5. BAMBI Workshop

    1. Front Matter
      Pages 149-149
    2. Akshay Pai, Stefan Sommer, Lars Lau Raket, Line Kühnel, Sune Darkner, Lauge Sørensen et al.
      Pages 151-159
    3. Roque Porchetto, Franco Stramana, Nikos Paragios, Enzo Ferrante
      Pages 172-185
    4. Vincent Beliveau, Georgios Papoutsakis, Jesper Løve Hinrich, Morten Mørup
      Pages 186-198
    5. Bartłomiej W. Papież, Adam Szmul, Vicente Grau, J. Michael Brady, Julia A. Schnabel
      Pages 199-207
    6. Saurabh Jain, Annemie Ribbens, Diana M. Sima, Sabine Van Huffel, Frederik Maes, Dirk Smeets
      Pages 208-219
  6. Back Matter
    Pages 221-222

About these proceedings

Introduction

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.

Keywords

image analysis image reconstruction image segmentation artificial intelligence computer vision medical imaging learning systems classification image enhancement imaging systems medical images image registration probability segmentation methods Support Vector Machines (SVM) classifiers Bayesian networks Markov random fields inverse problems sensor data fusion

Editors and affiliations

  • Henning Müller
    • 1
  • B. Michael Kelm
    • 2
  • Tal Arbel
    • 3
  • Weidong Cai
    • 4
  • M. Jorge Cardoso
    • 5
  • Georg Langs
    • 6
  • Bjoern Menze
    • 7
  • Dimitris Metaxas
    • 8
  • Albert Montillo
    • 9
  • William M. Wells III
    • 10
  • Shaoting Zhang
    • 11
  • Albert C.S. Chung
    • 12
  • Mark Jenkinson
    • 13
  • Annemie Ribbens
    • 14
  1. 1.HES-SOSierreSwitzerland
  2. 2.Siemens AGMunichGermany
  3. 3.McGill UniversityMontrealCanada
  4. 4.University of SydneySydneyAustralia
  5. 5.University College LondonLondonUnited Kingdom
  6. 6.Medical University of ViennaViennaAustria
  7. 7.Technische Universität MünchenGarchingGermany
  8. 8.Rutgers The State University of New JerseyPiscatawayUSA
  9. 9.University of Texas Southwestern Medical CenterDallasUSA
  10. 10.Brigham and Women’s HospitalBostonUSA
  11. 11.University of North Carolina at CharlotteCharlotteUSA
  12. 12.The Hong Kong University of Science and TechnologyClear Water BayHong Kong
  13. 13.University of Oxford, John Radcliffe HospitalOxfordUnited Kingdom
  14. 14.IcoMetrixLeuvenBelgium

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-61188-4
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-61187-7
  • Online ISBN 978-3-319-61188-4
  • 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
Consumer Packaged Goods
Aerospace
Engineering