MICCAI: International Workshop on Machine Learning in Medical Imaging

Machine Learning in Medical Imaging

6th International Workshop, MLMI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 5, 2015, Proceedings

  • Luping Zhou
  • Li Wang
  • Qian Wang
  • Yinghuan Shi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9352)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Suman Sedai, Pallab Roy, Rahil Garnavi
    Pages 1-8
  3. Dwarikanath Mahapatra, Joachim M. Buhmann
    Pages 9-16
  4. Guangkai Ma, Yaozong Gao, Li Wang, Ligang Wu, Dinggang Shen
    Pages 17-25
  5. Tao Xu, Cheng Xin, L. Rodney Long, Sameer Antani, Zhiyun Xue, Edward Kim et al.
    Pages 26-35
  6. Mohammad Khatami, Tobias Schmidt-Wilcke, Pia C. Sundgren, Amin Abbasloo, Bernhard Schölkopf, Thomas Schultz
    Pages 52-60
  7. Marta Nuñez-Garcia, Sonja Simpraga, Maria Angeles Jurado, Maite Garolera, Roser Pueyo, Laura Igual
    Pages 61-68
  8. Zuoyong Li, Le An, Jun Zhang, Li Wang, James J. Xia, Dinggang Shen
    Pages 69-76
  9. Tong Tong, Katherine Gray, Qinquan Gao, Liang Chen, Daniel Rueckert
    Pages 77-84
  10. Fahdi Kanavati, Tong Tong, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Daniel Rueckert et al.
    Pages 94-101
  11. Veronika A. Zimmer, Ben Glocker, Paul Aljabar, Serena J. Counsell, Mary A. Rutherford, A. David Edwards et al.
    Pages 110-117
  12. Noel Codella, Junjie Cai, Mani Abedini, Rahil Garnavi, Alan Halpern, John R. Smith
    Pages 118-126
  13. Yan Wang, Pei Zhang, Le An, Guangkai Ma, Jiayin Kang, Xi Wu et al.
    Pages 127-135
  14. Kuldeep Kumar, Christian Desrosiers, Kaleem Siddiqi
    Pages 144-152
  15. Atsuki Masuda, Bisser Raytchev, Takio Kurita, Toru Imamura, Masashi Suzuki, Toru Tamaki et al.
    Pages 153-160

About these proceedings

Introduction

This book constitutes the proceedings of the 6th International Workshop on Machine Learning in Medical Imaging, MLMI 2015, held in conjunction with MICCAI 2015, in Munich in October 2015.

The 40 full papers presented in this volume were carefully reviewed and selected from 69 submissions. The workshop focuses on major trends and challenges in the area of machine learning in medical imaging and present works aimed to identify new cutting-edge techniques and their use in medical imaging. 

Keywords

Cellular image analysis Computer-aided diagnosis Deep learning Health informatics Image analysis Image processing Image retrieval Machine learning Medical computing Medical imaging Molecular image analysis Multimodal fusion Semi-supervised learning Statistical methods Supervised learning Unsupervised learning

Editors and affiliations

  • Luping Zhou
    • 1
  • Li Wang
    • 2
  • Qian Wang
    • 3
  • Yinghuan Shi
    • 4
  1. 1.School of Computing and Information TechnologyUniversity of WollongongWollongongAustralia
  2. 2.Radiology and BRICUniversity of North CarolinaChapel HillUSA
  3. 3.Biomedical EngineeringShanghai Jiaotong UniversityShanghaiChina
  4. 4.Computer ScienceNanjing UniversityNanjingChina

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-24888-2
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-24887-5
  • Online ISBN 978-3-319-24888-2
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349