Machine Learning in Medical Imaging

Third International Workshop, MLMI 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012, Revised Selected Papers

  • Fei Wang
  • Dinggang Shen
  • Pingkun Yan
  • Kenji Suzuki
Conference proceedings MLMI 2012
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7588)

Table of contents

  1. Front Matter
  2. Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao, Dinggang Shen
    Pages 1-9
  3. Yefeng Zheng, Jianhua Shen, Huseyin Tek, Gareth Funka-Lea
    Pages 10-18
  4. Mehdi Moradi, Christian Wachinger, Andriy Fedorov, William M. Wells, Tina Kapur, Luciant D. Wolfsberger et al.
    Pages 19-26
  5. Manhua Liu, Daoqiang Zhang, Pew-Thian Yap, Dinggang Shen
    Pages 27-35
  6. Yonghong Shi, Guorong Wu, Zhijian Song, Dinggang Shen
    Pages 36-44
  7. Shu Liao, Daoqiang Zhang, Pew-Thian Yap, Guorong Wu, Dinggang Shen
    Pages 45-53
  8. Minjeong Kim, Guorong Wu, Dinggang Shen
    Pages 54-62
  9. Santiago Suniaga, Rene Werner, Andre Kemmling, Michael Groth, Jens Fiehler, Nils Daniel Forkert
    Pages 63-69
  10. Sune Darkner, Line H. Clemmensen
    Pages 70-77
  11. Behnoush Abdollahi, Ahmed Soliman, A. C. Civelek, X. -F. Li, G. Gimel’farb, Ayman El-Baz
    Pages 86-93
  12. Samuel Kadoury, Guray Erus, Christos Davatzikos
    Pages 94-102
  13. Mathieu J. Ruiz, Jean-Michel Hupé, Michel Dojat
    Pages 103-110
  14. Jieqiong Wang, Dai Dai, Meng Li, Jing Hua, Huiguang He
    Pages 111-118
  15. Roberto D’Ambrosio, Wafa Bel Haj Ali, Richard Nock, Paolo Soda, Frank Nielsen, Michel Barlaud
    Pages 119-127
  16. Pratik Shah, Mithun Das Gupta
    Pages 128-135
  17. Loizos Markides, Duncan Fyfe Gillies
    Pages 136-143
  18. Aydın Ulaş, Mehmet Gönen, Umberto Castellani, Vittorio Murino, Marcella Bellani, Michele Tansella et al.
    Pages 152-159

About these proceedings

Introduction

This book constitutes the refereed proceedings of the Third International Workshop on Machine Learning in Medical Imaging, MLMI 2012, held in conjunction with MICCAI 2012, in Nice, France, in October 2012.
The 33 revised full papers presented were carefully reviewed and selected from 67 submissions. The main aim of this workshop is to help advance the scientific research within the broad field of machine learning in medical imaging. It focuses on major trends and challenges in this area, and it presents work aimed to identify new cutting-edge techniques and their use in medical imaging.

Keywords

3D image classification image registration image segmentation weakly supervised learning

Editors and affiliations

  • Fei Wang
    • 1
  • Dinggang Shen
    • 2
  • Pingkun Yan
    • 3
  • Kenji Suzuki
    • 4
  1. 1.IBM Research AlmadenSan JoseUSA
  2. 2.School of Medicine, Department of Radiology and Biomedical Reserach Imaging CenterUniversity of North CarolinaChapel HillUSA
  3. 3.Chinese Academy of Sciences, Xi’an Institute of Optics and Precision MechanicsShaanxiChina
  4. 4.Department of RadiologyThe University of ChicagoChicagoUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-35428-1
  • Copyright Information Springer-Verlag Berlin Heidelberg 2012
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-642-35427-4
  • Online ISBN 978-3-642-35428-1
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349