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Machine Learning in Medical Imaging

5th International Workshop, MLMI 2014, Held in Conjunction with MICCAI 2014, Boston, MA, USA, September 14, 2014. Proceedings

  • Guorong Wu
  • Daoqiang Zhang
  • Luping Zhou

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8679)

Table of contents

  1. Front Matter
  2. Qian Wang, Guorong Wu, Li Wang, Pengfei Shi, Weili Lin, Dinggang Shen
    Pages 1-8
  3. Lisa M. Koch, Robert Wright, Deniz Vatansever, Vanessa Kyriakopoulou, Christina Malamateniou, Prachi A. Patkee et al.
    Pages 9-16
  4. Ryan Kiros, Karteek Popuri, Dana Cobzas, Martin Jagersand
    Pages 25-32
  5. Menglin Jiang, Shaoting Zhang, Dimitris N. Metaxas
    Pages 33-41
  6. Chenhui Hu, Xue Hua, Paul M. Thompson, Georges El Fakhri, Quanzheng Li
    Pages 42-49
  7. Jianjia Zhang, Luping Zhou, Lei Wang, Wanqing Li
    Pages 59-67
  8. Zhen Yang, Shenghua Zhong, Aaron Carass, Sarah H. Ying, Jerry L. Prince
    Pages 68-76
  9. Ricardo Guerrero, Christian Ledig, Daniel Rueckert
    Pages 77-84
  10. Joseph G. Jacobs, Eleftheria Panagiotaki, Daniel C. Alexander
    Pages 85-92
  11. Mohammad Yaqub, Anil Kopuri, Sylvia Rueda, Peter B. Sullivan, Kenneth McCormick, J. Alison Noble
    Pages 109-116
  12. Youngjin Yoo, Tom Brosch, Anthony Traboulsee, David K. B. Li, Roger Tam
    Pages 117-124
  13. Hao Chen, Dong Ni, Xin Yang, Shengli Li, Pheng Ann Heng
    Pages 125-132
  14. Mohammad Ali Maraci, Raffaele Napolitano, Aris Papageorghiou, J. Alison Noble
    Pages 133-140
  15. Mawulawoé Komlagan, Vinh-Thong Ta, Xingyu Pan, Jean-Philippe Domenger, D. Louis Collins, Pierrick Coupé et al.
    Pages 141-148
  16. Harini Veeraraghavan, Duc Fehr, Ross Schmidtlein, Sinchun Hwang, Joseph O. Deasy
    Pages 149-156
  17. Subrahmanyam Gorthi, Alireza Akhondi-Asl, Jean-Philippe Thiran, Simon K. Warfield
    Pages 174-181
  18. Assaf Cohen, Ehud Rivlin, Ilan Shimshoni, Edmond Sabo
    Pages 182-189
  19. Veronika Cheplygina, David M. J. Tax, Marco Loog, Aasa Feragen
    Pages 190-197
  20. Murat Bilgel, Aaron Carass, Susan M. Resnick, Dean F. Wong, Jerry L. Prince
    Pages 198-206
  21. Gerard Sanroma, Guorong Wu, Kim Thung, Yanrong Guo, Dinggang Shen
    Pages 207-214
  22. João S. Domingos, Richard V. Stebbing, Paul Leeson, J. Alison Noble
    Pages 215-222
  23. Daniel Tward, Jorge Jovicich, Andrea Soricelli, Giovanni Frisoni, Alain Trouvé, Laurent Younes et al.
    Pages 223-230
  24. Nikhil Singh, Heather D. Couture, J. S. Marron, Charles Perou, Marc Niethammer
    Pages 231-239
  25. Feng Li, Loc Tran, Kim-Han Thung, Shuiwang Ji, Dinggang Shen, Jiang Li
    Pages 240-247
  26. Snehashis Roy, Aaron Carass, Jerry L. Prince, Dzung L. Pham
    Pages 248-255
  27. Hongzhi Wang, Yu Cao, Tanveer Syeda-Mahmood
    Pages 256-263
  28. Sang Hyun Park, Yaozong Gao, Yinghuan Shi, Dinggang Shen
    Pages 264-271
  29. Esther Bron, Marion Smits, John van Swieten, Wiro Niessen, Stefan Klein
    Pages 272-279
  30. Jiayin Kang, Yaozong Gao, Yao Wu, Guangkai Ma, Feng Shi, Weili Lin et al.
    Pages 280-288
  31. Hussam Al-Deen Ashab, Piotr Kozlowski, S. Larry Goldenberg, Mehdi Moradi
    Pages 289-296
  32. Xuchu Wang, Li Wang, Heung-Il Suk, Dinggang Shen
    Pages 297-305
  33. Yonggang Shi, Junning Li, Arthur W. Toga
    Pages 306-313
  34. Chunjun Qian, Li Wang, Ambereen Yousuf, Aytekin Oto, Dinggang Shen
    Pages 314-322
  35. Lichi Zhang, Qian Wang, Yaozong Gao, Guorong Wu, Dinggang Shen
    Pages 323-330
  36. Back Matter

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning in Medical Imaging, MLMI 2014, held in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2014, in Cambridge, MA, USA, in September 2014. The 40 contributions included in this volume were carefully reviewed and selected from 70 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

brain network analysis cellular image analysis computer-aided diagnostics/detection deep learning health informatics image registration image retrieval image segmentation machine learning manifold learning medical imaging multi-modality fusion multi-task learning sparse learning transfer learning unsupervised learning

Editors and affiliations

  • Guorong Wu
    • 1
  • Daoqiang Zhang
    • 2
  • Luping Zhou
    • 3
  1. 1.University of North Carolina at Chapel HillChapel HillUSA
  2. 2.Nanjing University of Aeronautics and AstronauticsNanjingChina
  3. 3.University of WollongongWollongongAustralia

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-10581-9
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-10580-2
  • Online ISBN 978-3-319-10581-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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