Medical Computer Vision: Algorithms for Big Data

International Workshop, MCV 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised Selected Papers

  • Bjoern Menze
  • Georg Langs
  • Albert Montillo
  • Michael Kelm
  • Henning Müller
  • Shaoting Zhang
  • Weidong Cai
  • Dimitris Metaxas
Conference proceedings MCV 2015

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9601)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 9601)

Table of contents

  1. Front Matter
    Pages I-XV
  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 3-9
  3. Predicting Disease

    1. Front Matter
      Pages 11-11
    2. Madelaine Daianu, Greg Ver Steeg, Adam Mezher, Neda Jahanshad, Talia M. Nir, Xiaoran Yan et al.
      Pages 13-23
    3. Mingxia Liu, Daoqiang Zhang, Ehsan Adeli-Mosabbeb, Dinggang Shen
      Pages 24-33
  4. Atlas Exploitation and Avoidance

    1. Front Matter
      Pages 35-35
    2. Vasileios Zografos, Alexander Valentinitsch, Markus Rempfler, Federico Tombari, Bjoern Menze
      Pages 37-46
    3. Ken’ichi Karasawa, Takayuki Kitasaka, Masahiro Oda, Yukitaka Nimura, Yuichiro Hayashi, Michitaka Fujiwara et al.
      Pages 47-56
  5. Machine Learning Based Analyses

    1. Front Matter
      Pages 57-57
    2. Li Wang, Yaozong Gao, Feng Shi, Gang Li, Ken-Chung Chen, Zhen Tang et al.
      Pages 72-82
    3. Yu Meng, Gang Li, Yaozong Gao, John H. Gilmore, Weili Lin, Dinggang Shen
      Pages 83-92
  6. Advanced Methods for Image Analysis

    1. Front Matter
      Pages 93-93
    2. Yang Yu, Zhennan Yan, Li Feng, Dimitris Metaxas, Leon Axel
      Pages 95-102
    3. Markus Krenn, Matthias Dorfer, Oscar Alfonso Jiménez del Toro, Henning Müller, Bjoern Menze, Marc-André Weber et al.
      Pages 103-115
    4. Tsutomu Inoue, Yoshiro Kitamura, Yuanzhong Li, Wataru Ito, Hiroshi Ishikawa
      Pages 116-124
  7. Poster Session

    1. Front Matter
      Pages 125-125
    2. Ehsan Adeli-Mosabbeb, Chong-Yaw Wee, Le An, Feng Shi, Dinggang Shen
      Pages 127-136
    3. Pei Zhang, Guorong Wu, Yaozong Gao, Pew-Thian Yap, Dinggang Shen
      Pages 137-145

About these proceedings

Introduction

This book constitutes the thoroughly refereed prost-workshop proceedings of the International Workshop on Medical Computer Vision: Algorithms for Big Data, MCS 2015, held in Munich, Germany, in October 2015, held in conjunction with the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015.

The workshop shows well the current trends and tendencies in medical computer vision and how the techniques can be used in clinical work and on large data sets. It is organized in the following sections: predicting disease; atlas exploitation and avoidance; machine learning based analyses; advanced methods for image analysis; poster sessions. The 10 full, 5 short, 1 invited papers and one overview paper presented in this volume were carefully reviewed and selected from 22 submissions.

Keywords

brain connectivity computer vision deep learning machine learning pattern recognition computer tomography CT images image registration image segmentation large-deformation image registration medical computer vision medical image analysis MRI parkinson's desease reconstruction sparse regression spectral graph theory structured prediction VISCERAL benchmark visualization

Editors and affiliations

  • Bjoern Menze
    • 1
  • Georg Langs
    • 2
  • Albert Montillo
    • 3
  • Michael Kelm
    • 4
  • Henning Müller
    • 5
  • Shaoting Zhang
    • 6
  • Weidong Cai
    • 7
  • Dimitris Metaxas
    • 8
  1. 1.TU München, Computer Science MünchenGermany
  2. 2.Medical University of Vienna WienAustria
  3. 3.Southwestern Medical CenterUniversity of Texas Southwestern Medical CenterDallasUSA
  4. 4.Siemens AG ErlangenGermany
  5. 5.University of Applied Sciences HES- SierreSwitzerland
  6. 6.University of North Carolina CHARLOTTEUSA
  7. 7.SydneyAustralia
  8. 8.Computer ScienceState University of New Jersey Rutgers Computer SciencePiscatawayUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-42016-5
  • Copyright Information Springer International Publishing Switzerland 2016
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-42015-8
  • Online ISBN 978-3-319-42016-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book