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© 2013

Machine Learning in Medical Imaging

4th International Workshop, MLMI 2013, Held in Conjunction with MICCAI 2013, Nagoya, Japan, September 22, 2013. Proceedings

  • Guorong Wu
  • Daoqiang Zhang
  • Dinggang Shen
  • Pingkun Yan
  • Kenji Suzuki
  • Fei Wang
Conference proceedings MLMI 2013

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8184)

Table of contents

  1. Front Matter
  2. Minjeong Kim, Guorong Wu, Dinggang Shen
    Pages 1-8
  3. Biao Jie, Daoqiang Zhang, Heung-Il Suk, Chong-Yaw Wee, Dinggang Shen
    Pages 9-16
  4. Mohammad Yaqub, Remi Cuingnet, Raffaele Napolitano, David Roundhill, Aris Papageorghiou, Roberto Ardon et al.
    Pages 25-32
  5. Katerina Gkirtzou, Jean-François Deux, Guillaume Bassez, Aristeidis Sotiras, Alain Rahmouni, Thibault Varacca et al.
    Pages 33-40
  6. Fumi Kawai, Keisuke Hayata, Jun Ohmiya, Satoshi Kondo, Kiyoko Ishikawa, Masahiro Yamamoto
    Pages 41-48
  7. Annegreet van Opbroek, M. Arfan Ikram, Meike W. Vernooij, Marleen de Bruijne
    Pages 49-56
  8. Le Lu, Bing Jian, Dijia Wu, Matthias Wolf
    Pages 57-65
  9. Marcel Lüthi, Christoph Jud, Thomas Vetter
    Pages 66-73
  10. Veronika A. M. Zimmer, Roger Fonolla, Karim Lekadir, Gemma Piella, Corné Hoogendoorn, Alejandro F. Frangi
    Pages 82-89
  11. Katerina Gkirtzou, Jean Honorio, Dimitris Samaras, Rita Goldstein, Matthew B. Blaschko
    Pages 90-97
  12. Zehan Wang, Claire Donoghue, Daniel Rueckert
    Pages 98-105
  13. Songbai Ji, Xiaoyao Fan, David W. Roberts, Alex Hartov, Keith D. Paulsen
    Pages 106-113
  14. Pradeep Reddy Raamana, Lei Wang, Mirza Faisal Beg, for The Alzheimer’s Disease Neuroimaging Initiative
    Pages 114-122
  15. Jianqiao Feng, Xiaoying Tang, Minh Tang, Carey Priebe, Michael Miller
    Pages 123-130
  16. Heung-Il Suk, Chong-Yaw Wee, Dinggang Shen
    Pages 131-138
  17. Chong-Yaw Wee, Sen Yang, Pew-Thian Yap, Dinggang Shen
    Pages 139-146
  18. Melanie Ganz, Mert R. Sabuncu, Koen Van Leemput
    Pages 147-154

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 4th International Workshop on Machine Learning in Medical Imaging, MLMI 2013, held in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013, in Nagoya, Japan, in September 2013. The 32 contributions included in this volume were carefully reviewed and selected from 57 submissions. They focus on major trends and challenges in the area of machine learning in medical imaging and aim to identify new cutting-edge techniques and their use in medical imaging.

Keywords

3D ultrasound alzheimer's disease classification functional magnetic resonance imaging image segmentation

Editors and affiliations

  • Guorong Wu
    • 1
  • Daoqiang Zhang
    • 2
  • Dinggang Shen
    • 1
  • Pingkun Yan
    • 3
  • Kenji Suzuki
    • 4
  • Fei Wang
    • 5
  1. 1.Department of RadiologyUniversity of North Carolina at Chapel HillChapel HillUSA
  2. 2.Dept. of Computer ScienceNanjing University of Aeronautics and AstronauticsNanjingP.R. China
  3. 3.XIOPM Chinese Academy of SciencesXi’anP.R. China
  4. 4.Dept. of RadiologyThe University of ChicagoChicagoUSA
  5. 5.IBM Almaden Research CenterSan JoseUSA

Bibliographic information