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Machine Learning in Medical Imaging

8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings

  • Qian Wang
  • Yinghuan Shi
  • Heung-Il Suk
  • Kenji Suzuki

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10541)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 10541)

Table of contents

  1. Front Matter
    Pages VII-XIX
  2. Marie Bieth, Esther Alberts, Markus Schwaiger, Bjoern Menze
    Pages 1-9
  3. Sylvester Chiang, Sharmila Balasingham, Lara Richmond, Belinda Curpen, Mia Skarpathiotakis, Anne Martel
    Pages 10-18
  4. Jiří Borovec, Jan Kybic, Rodrigo Nava
    Pages 19-26
  5. Felix Durlak, Michael Wels, Chris Schwemmer, Michael Sühling, Stefan Steidl, Andreas Maier
    Pages 27-35
  6. Boris Kodner, Shiri Gordon, Jacob Goldberger, Tammy Riklin Raviv
    Pages 36-44
  7. Seongah Jeong, Xiang Li, Jiarui Yang, Quanzheng Li, Vahid Tarokh
    Pages 45-52
  8. Jorge Samper-González, Ninon Burgos, Sabrina Fontanella, Hugo Bertin, Marie-Odile Habert, Stanley Durrleman et al.
    Pages 53-60
  9. Darko Štern, Philipp Kainz, Christian Payer, Martin Urschler
    Pages 61-69
  10. Anees Kazi, Shadi Albarqouni, Amelia Jimenez Sanchez, Sonja Kirchhoff, Peter Biberthaler, Nassir Navab et al.
    Pages 70-78
  11. Fahdi Kanavati, Kazunari Misawa, Michitaka Fujiwara, Kensaku Mori, Daniel Rueckert, Ben Glocker
    Pages 79-87
  12. Yani Chen, Bibo Shi, Zhewei Wang, Tao Sun, Charles D. Smith, Jundong Liu
    Pages 88-96
  13. Yao Xiao, Ajay Gupta, Pina C. Sanelli, Ruogu Fang
    Pages 97-105
  14. Yuru Pei, Yunai Yi, Gengyu Ma, Yuke Guo, Gui Chen, Tianmin Xu et al.
    Pages 114-122
  15. Yuru Pei, Haifang Qin, Gengyu Ma, Yuke Guo, Gui Chen, Tianmin Xu et al.
    Pages 123-131
  16. Dakai Jin, Ziyue Xu, Adam P. Harrison, Kevin George, Daniel J. Mollura
    Pages 141-149
  17. Pei Dong, Xiaohuan Cao, Jun Zhang, Minjeong Kim, Guorong Wu, Dinggang Shen
    Pages 150-158
  18. Jun Wang, Qian Wang, Shitong Wang, Dinggang Shen
    Pages 159-167
  19. Yu Zhang, Han Zhang, Xiaobo Chen, Mingxia Liu, Xiaofeng Zhu, Dinggang Shen
    Pages 168-175
  20. Alborz Amir-Khalili, Soheil Kianzad, Rafeef Abugharbieh, Ivan Beschastnikh
    Pages 176-184
  21. Siqi Liu, Donghao Zhang, Yang Song, Hanchuan Peng, Weidong Cai
    Pages 185-193
  22. Junyi Yan, Yu Meng, Gang Li, Weili Lin, Dazhe Zhao, Dinggang Shen
    Pages 194-202
  23. Baris U. Oguz, Russell T. Shinohara, Paul A. Yushkevich, Ipek Oguz
    Pages 203-211
  24. Xiang Li, Aoxiao Zhong, Ming Lin, Ning Guo, Mu Sun, Arkadiusz Sitek et al.
    Pages 212-219
  25. Jinquan Sun, Yinghuan Shi, Yang Gao, Dinggang Shen
    Pages 220-228
  26. Mohammad Arafat Hussain, Alborz Amir-Khalili, Ghassan Hamarneh, Rafeef Abugharbieh
    Pages 229-237
  27. Zhen Yu, Xudong Jiang, Tianfu Wang, Baiying Lei
    Pages 238-246
  28. Christopher P. Bridge, Christos Ioannou, J. Alison Noble
    Pages 247-255
  29. Enzo Ferrante, Puneet K. Dokania, Rafael Marini, Nikos Paragios
    Pages 256-265
  30. Dong Nie, Li Wang, Roger Trullo, Jianfu Li, Peng Yuan, James Xia et al.
    Pages 266-273
  31. Guodong Zeng, Xin Yang, Jing Li, Lequan Yu, Pheng-Ann Heng, Guoyan Zheng
    Pages 274-282
  32. Luca Minciullo, Paul A. Bromiley, David T. Felson, Timothy F. Cootes
    Pages 283-290
  33. Can Zhao, Aaron Carass, Junghoon Lee, Yufan He, Jerry L. Prince
    Pages 291-298
  34. Yang Li, Jingyu Liu, Meilin Luo, Ke Li, Pew-Thian Yap, Minjeong Kim et al.
    Pages 299-306
  35. Yang Li, Jingyu Liu, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee et al.
    Pages 307-315
  36. Yang Li, Hao Yang, Ke Li, Pew-Thian Yap, Minjeong Kim, Chong-Yaw Wee et al.
    Pages 316-324
  37. Kenji Suzuki, Junchi Liu, Amin Zarshenas, Toru Higaki, Wataru Fukumoto, Kazuo Awai
    Pages 334-343
  38. Giles Tetteh, Markus Rempfler, Claus Zimmer, Bjoern H. Menze
    Pages 344-352
  39. Daniel Moyer, Boris A. Gutman, Neda Jahanshad, Paul M. Thompson
    Pages 353-361
  40. Nicha C. Dvornek, Pamela Ventola, Kevin A. Pelphrey, James S. Duncan
    Pages 362-370
  41. Dmitry Petrov, Boris A. Gutman, Shih-Hua (Julie) Yu, Kathryn Alpert, Artemis Zavaliangos-Petropulu, Dmitry Isaev et al.
    Pages 371-378
  42. Seyed Sadegh Mohseni Salehi, Deniz Erdogmus, Ali Gholipour
    Pages 379-387
  43. Back Matter
    Pages 389-391

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 8th International Workshop on Machine Learning in Medical Imaging, MLMI 2017, held in conjunction with MICCAI 2017, in Quebec City, QC, Canada, in September 2017.

The 44 full papers presented in this volume were carefully reviewed and selected from 63 submissions. The main aim of this workshop is to help advance scientific research within the broad field of machine learning in medical imaging. The workshop focuses on major trends and challenges in this area, and presents works aimed to identify new cutting-edge techniques and their use in medical imaging.

Keywords

classification and regression trees convolutional neural networks deep learning factorization methods generative adversarial networks image analysis image processing image segmentation learning networks learning systems machine learning medical image analysis multi-task learning neural networks shape representation supervised learning

Editors and affiliations

  • Qian Wang
    • 1
  • Yinghuan Shi
    • 2
  • Heung-Il Suk
    • 3
  • Kenji Suzuki
    • 4
  1. 1.Shanghai Jiao Tong UniversityShanghaiChina
  2. 2.Nanjing University NanjingChina
  3. 3.Korea University SeoulKorea (Republic of)
  4. 4.Illinois Institute of TechnologyChicagoUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-67389-9
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-67388-2
  • Online ISBN 978-3-319-67389-9
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site