Medical Computer Vision: Algorithms for Big Data

International Workshop, MCV 2014, Held in Conjunction with MICCAI 2014, Cambridge, MA, USA, September 18, 2014, Revised Selected Papers

  • Bjoern Menze
  • Georg Langs
  • Albert Montillo
  • Michael Kelm
  • Henning Müller
  • Shaoting Zhang
  • Weidong (Tom) Cai
  • Dimitris Metaxas
Conference proceedings MCV 2014

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8848)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 8848)

Table of contents

  1. Front Matter
    Pages I-XI
  2. Workshop Overview

    1. Front Matter
      Pages 1-1
    2. Henning Müller, Bjoern Menze, Georg Langs, Albert Montillo, Michael Kelm, Shaoting Zhang et al.
      Pages 3-10
  3. Segmentation of Big Medical Data

    1. Front Matter
      Pages 11-11
    2. Guorong Wu, Li Wang, John Gilmore, Weili Lin, Dinggang Shen
      Pages 13-21
    3. Li Wang, Yaozong Gao, Feng Shi, Gang Li, John H. Gilmore, Weili Lin et al.
      Pages 22-33
    4. Rola Harmouche, James C. Ross, George R. Washko, Raúl San José Estépar
      Pages 34-44
  4. Advanced Feature Extraction

    1. Front Matter
      Pages 45-45
    2. Elisabeth Stühler, Michael R. Berthold
      Pages 59-70
    3. Mohammad Ali Maraci, Raffaele Napolitano, Aris Papageorghiou, J. Allison Noble
      Pages 71-81
    4. Thomas Schlegl, Joachim Ofner, Georg Langs
      Pages 82-93
  5. Multi-atlas and Beyond

    1. Front Matter
      Pages 95-95
    2. Guangkai Ma, Yaozong Gao, Guorong Wu, Ligang Wu, Dinggang Shen
      Pages 97-104
    3. David Rivest-Hénault, Soumya Ghose, Josien P. W. Pluim, Peter B. Greer, Jurgen Fripp, Jason A. Dowling
      Pages 105-115
  6. Translational Medical Computer Vision

    1. Front Matter
      Pages 125-125
    2. Yeqin Shao, Yaozong Gao, Xin Yang, Dinggang Shen
      Pages 127-136
    3. Felix Lugauer, Yefeng Zheng, Joachim Hornegger, B. Michael Kelm
      Pages 137-147
    4. Rocío Cabrera-Lozoya, Jan Margeta, Loïc Le Folgoc, Yuki Komatsu, Benjamin Berte, Jatin Relan et al.
      Pages 148-159
  7. VISCERAL Session

    1. Front Matter
      Pages 161-161
    2. Tobias Gass, Gabor Szekely, Orcun Goksel
      Pages 171-180
    3. Xuhui Li, Cheng Huang, Fucang Jia, Zongmin Li, Chihua Fang, Yingfang Fan
      Pages 181-188
    4. Razmig Kéchichian, Sébastien Valette, Michaël Sdika, Michel Desvignes
      Pages 201-209
  8. Back Matter
    Pages 211-211

About these proceedings


This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision: Algorithms for Big Data, MCV 2014, held in Cambridge, MA, USA, in September 2019, in conjunction with the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014. The one-day workshop aimed at exploring the use of modern computer vision technology and "big data" algorithms in tasks such as automatic segmentation and registration, localization of anatomical features and detection of anomalies emphasizing questions of harvesting, organizing and learning from large-scale medical imaging data sets and general-purpose automatic understanding of medical images. The 18 full and 1 short papers presented in this volume were carefully reviewed and selected from 30 submission.


computer vision image analysis image processing graph theory computerized tomography education image segmentation

Editors and affiliations

  • Bjoern Menze
    • 1
  • Georg Langs
    • 2
  • Albert Montillo
    • 3
  • Michael Kelm
    • 4
  • Henning Müller
    • 5
  • Shaoting Zhang
    • 6
  • Weidong (Tom) Cai
    • 7
  • Dimitris Metaxas
    • 8
  1. 1.Technische Universität MünchenMünchenGermany
  2. 2.Medical University of ViennaViennaAustria
  3. 3.GE Global ResearchNiskayunaUSA
  4. 4.Siemens AGErlangenGermany
  5. 5.University of Applied SciencesSierreSwitzerland
  6. 6.University of North CarolinaCharlotteUSA
  7. 7.School of Information TechnologiesBiomedical & Multimedia Info. Tech.(BMIT) Research Group, University of SydneySydneyAustralia
  8. 8.Rutgers UniversityPiscatawayUSA

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Print ISBN 978-3-319-13971-5
  • Online ISBN 978-3-319-13972-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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