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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
    16. Teresa Araújo, Guilherme Aresta, Adrian Galdran, Pedro Costa, Ana Maria Mendonça, Aurélio Campilho
      Pages 165-173
    17. Heran Yang, Jian Sun, Aaron Carass, Can Zhao, Junghoon Lee, Zongben Xu et al.
      Pages 174-182
    18. Firat Ozdemir, Zixuan Peng, Christine Tanner, Philipp Fuernstahl, Orcun Goksel
      Pages 183-191
    19. Nicolas Toussaint, Bishesh Khanal, Matthew Sinclair, Alberto Gomez, Emily Skelton, Jacqueline Matthew et al.
      Pages 192-200
    20. Thomas Varsavsky, Zach Eaton-Rosen, Carole H. Sudre, Parashkev Nachev, M. Jorge Cardoso
      Pages 201-209
    21. Shubham Kumar, Abhijit Guha Roy, Ping Wu, Sailesh Conjeti, R. S. Anand, Jian Wang et al.
      Pages 227-235
    22. Yigit B. Can, Krishna Chaitanya, Basil Mustafa, Lisa M. Koch, Ender Konukoglu, Christian F. Baumgartner
      Pages 236-244
    23. Aditya Sharma, Prabhjot Kaur, Aditya Nigam, Arnav Bhavsar
      Pages 245-253
    24. Mayalen Etcheverry, Bogdan Georgescu, Benjamin Odry, Thomas J. Re, Shivam Kaushik, Bernhard Geiger et al.
      Pages 254-262
    25. Wei Dai, Nanqing Dong, Zeya Wang, Xiaodan Liang, Hao Zhang, Eric P. Xing
      Pages 263-273
    26. Abdullah-Al-Zubaer Imran, Ali Hatamizadeh, Shilpa P. Ananth, Xiaowei Ding, Demetri Terzopoulos, Nima Tajbakhsh
      Pages 282-290
    27. Meng Li, Shiwen Shen, Wen Gao, William Hsu, Jason Cong
      Pages 291-299
    28. Vladimir I. Iglovikov, Alexander Rakhlin, Alexandr A. Kalinin, Alexey A. Shvets
      Pages 300-308
    29. Andreas Østvik, Erik Smistad, Torvald Espeland, Erik Andreas Rye Berg, Lasse Lovstakken
      Pages 309-316
    30. Nanqing Dong, Michael Kampffmeyer, Xiaodan Liang, Zeya Wang, Wei Dai, Eric Xing
      Pages 317-325
    31. Ruggiero Santeramo, Samuel Withey, Giovanni Montana
      Pages 326-333
    32. Danielle F. Pace, Adrian V. Dalca, Tom Brosch, Tal Geva, Andrew J. Powell, Jürgen Weese et al.
      Pages 334-342
    33. Felix Lau, Tom Hendriks, Jesse Lieman-Sifry, Sean Sall, Dan Golden
      Pages 343-350
  3. 8th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2018

    1. Front Matter
      Pages 351-351
    2. Myra Cheng, Alfiia Galimzianova, Žiga Lesjak, Žiga Špiclin, Christopher B. Lock, Daniel L. Rubin
      Pages 353-360
    3. Sandip Sadhukhan, Goutam Kumar Ghorai, Souvik Maiti, Vikrant Anilrao Karale, Gautam Sarkar, Ashis Kumar Dhara
      Pages 369-376
    4. Hui Tang, Mehdi Moradi, Ken C. L. Wong, Hongzhi Wang, Ahmed El Harouni, Tanveer Syeda-Mahmood
      Pages 377-384
  4. Back Matter
    Pages 385-387

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

  • 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
  • Print ISBN 978-3-030-00888-8
  • Online ISBN 978-3-030-00889-5
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site