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© 2018

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings

  • Danail Stoyanov
  • Zeike Taylor
  • Gustavo Carneiro
  • Tanveer Syeda-Mahmood
  • Anne Martel
  • Lena Maier-Hein
  • João Manuel R.S. Tavares
  • Andrew Bradley
  • João Paulo Papa
  • Vasileios Belagiannis
  • Jacinto C. Nascimento
  • Zhi Lu
  • Sailesh Conjeti
  • Mehdi Moradi
  • Hayit Greenspan
  • Anant Madabhushi
Conference proceedings DLMIA 2018, ML-CDS 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11045)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 11045)

Table of contents

  1. Front Matter
    Pages I-XVII
  2. 4th International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2018

    1. Front Matter
      Pages 1-1
    2. Zongwei Zhou, Md Mahfuzur Rahman Siddiquee, Nima Tajbakhsh, Jianming Liang
      Pages 3-11
    3. Christian S. Perone, Julien Cohen-Adad
      Pages 12-19
    4. Olivier Petit, Nicolas Thome, Arnaud Charnoz, Alexandre Hostettler, Luc Soler
      Pages 20-28
    5. Mohammad H. Jafari, Hany Girgis, Zhibin Liao, Delaram Behnami, Amir Abdi, Hooman Vaseli et al.
      Pages 29-37
    6. Liying Peng, Lanfen Lin, Hongjie Hu, Huali Li, Qingqing Chen, Dan Wang et al.
      Pages 38-46
    7. Delaram Behnami, Christina Luong, Hooman Vaseli, Amir Abdi, Hany Girgis, Dale Hawley et al.
      Pages 65-73
    8. Lihao Liu, Qi Dou, Hao Chen, Iyiola E. Olatunji, Jing Qin, Pheng-Ann Heng
      Pages 74-82
    9. Jamshid Sourati, Ali Gholipour, Jennifer G. Dy, Sila Kurugol, Simon K. Warfield
      Pages 83-91
    10. Zhenlin Xu, Zhengyang Shen, Marc Niethammer
      Pages 92-100
    11. Julian Krebs, Tommaso Mansi, Boris Mailhé, Nicholas Ayache, Hervé Delingette
      Pages 101-109
    12. Pei Wang, Albert C. S. Chung
      Pages 119-127
    13. Roman Spilger, Thomas Wollmann, Yu Qiang, Andrea Imle, Ji Young Lee, Barbara Müller et al.
      Pages 128-136
    14. Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
      Pages 137-145
    15. Lei Xiang, Yang Li, Weili Lin, Qian Wang, Dinggang Shen
      Pages 155-164

About these proceedings

Introduction

This book constitutes the refereed joint proceedings of the 4th International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2018, and the 8th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018.

The 39 full papers presented at DLMIA 2018 and the 4 full papers presented at ML-CDS 2018 were carefully reviewed and selected from 85 submissions to DLMIA and 6 submissions to ML-CDS. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support.

Keywords

artificial intelligence classification computer vision data security estimation image analysis image coding image processing image reconstruction image segmentation learning algorithms medical images medical imaging motion estimation neural networks object recognition segmentation methods semi-supervised learning signal processing Support Vector Machines (SVM)

Editors and affiliations

  1. 1.University College LondonLondonUK
  2. 2.University of LeedsLeedsUK
  3. 3.University of AdelaideAdelaideAustralia
  4. 4.IBM Research – AlmadenSan JoseUSA
  5. 5.Sunnybrook Health Science CentreTorontoCanada
  6. 6.Deutsches Krebsforschungszentrum (DKFZ)HeidelbergGermany
  7. 7.University of PortoPortoPortugal
  8. 8.Queensland University of TechnologyBrisbaneAustralia
  9. 9.Universidade Estadual PaulistaBauruBrazil
  10. 10.OSRAM (Germany)Garching b. MünchenGermany
  11. 11.University of LisbonLisboaPortugal
  12. 12.ReFUEL4SingaporeSingapore
  13. 13.German Center for Neurodegenerative Diseases (DZNE)MunichGermany
  14. 14.IBM Research – AlmadenSan JoseUSA
  15. 15.Tel Aviv UniversityTel AvivIsrael
  16. 16.Case Western Reserve UniversityClevelandUSA

Bibliographic information

  • Book Title Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support
  • Book Subtitle 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings
  • Editors Danail Stoyanov
    Zeike Taylor
    Gustavo Carneiro
    Tanveer Syeda-Mahmood
    Anne Martel
    Lena Maier-Hein
    João Manuel R.S. Tavares
    Andrew Bradley
    João Paulo Papa
    Vasileios Belagiannis
    Jacinto C. Nascimento
    Zhi Lu
    Sailesh Conjeti
    Mehdi Moradi
    Hayit Greenspan
    Anant Madabhushi
  • Series Title Lecture Notes in Computer Science
  • Series Abbreviated Title Lect.Notes Computer
  • DOI https://doi.org/10.1007/978-3-030-00889-5
  • Copyright Information Springer Nature Switzerland AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Softcover ISBN 978-3-030-00888-8
  • eBook ISBN 978-3-030-00889-5
  • Series ISSN 0302-9743
  • Series E-ISSN 1611-3349
  • Edition Number 1
  • Number of Pages XVII, 387
  • Number of Illustrations 48 b/w illustrations, 149 illustrations in colour
  • Topics Artificial Intelligence
    Health Informatics
    Computers and Education
    Computer Appl. in Social and Behavioral Sciences
    Systems and Data Security
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