Advertisement

© 2018

Machine Learning in Medical Imaging

9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings

  • Yinghuan Shi
  • Heung-Il Suk
  • Mingxia Liu
Conference proceedings MLMI 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11046)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 11046)

Table of contents

  1. Front Matter
    Pages I-XII
  2. Feiyun Zhu, Xinliang Zhu, Sheng Wang, Jiawen Yao, Zhichun Xiao, Junzhou Huang
    Pages 10-18
  3. Nesrine Bnouni, Islem Rekik, Mohamed Salah Rhim, Najoua Essoukri Ben Amara
    Pages 19-27
  4. Yaxin Shen, Ruogu Fang, Bin Sheng, Ling Dai, Huating Li, Jing Qin et al.
    Pages 28-36
  5. Dufan Wu, Kyungsang Kim, Bin Dong, Georges El Fakhri, Quanzheng Li
    Pages 37-45
  6. Youbao Tang, Jinzheng Cai, Le Lu, Adam P. Harrison, Ke Yan, Jing Xiao et al.
    Pages 46-54
  7. Xiaohuan Cao, Jianhuan Yang, Li Wang, Zhong Xue, Qian Wang, Dinggang Shen
    Pages 55-63
  8. Dwarikanath Mahapatra, Zongyuan Ge, Suman Sedai, Rajib Chakravorty
    Pages 73-80
  9. Gerard Sanroma, Loes Rutten-Jacobs, Valerie Lohner, Johanna Kramme, Sach Mukherjee, Martin Reuter et al.
    Pages 81-88
  10. Frank Preiswerk, Cheng-Chieh Cheng, Jie Luo, Bruno Madore
    Pages 89-97
  11. Adrien Depeursinge, Julien Fageot, Vincent Andrearczyk, John Paul Ward, Michael Unser
    Pages 107-115
  12. Mohammad Ali Maraci, Weidi Xie, J. Alison Noble
    Pages 116-124
  13. Liang Sun, Daoqiang Zhang, Li Wang, Wei Shao, Zengsi Chen, Weili Lin et al.
    Pages 125-133
  14. Xian-Hua Han, JiandDe Sun, Lanfen Lin, Yen-Wei Chen
    Pages 134-142
  15. Mingli Zhang, Christian Desrosiers, Yuhong Guo, Caiming Zhang, Budhachandra Khundrakpam, Alan Evans
    Pages 152-160
  16. Weixiang Chen, Hongchen Ji, Jianjiang Feng, Rong Liu, Yi Yu, Ruiquan Zhou et al.
    Pages 161-169

About these proceedings

Introduction

This book constitutes the proceedings of the 9th International Workshop on Machine Learning in Medical Imaging, MLMI 2018, held in conjunction with MICCAI 2018 in Granada, Spain, in September 2018.

The 45 papers presented in this volume were carefully reviewed and selected from 82 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

artificial intelligence automatic segmentations classification and regression trees convolutional neural networks generative adversarial networks image processing image quality image reconstruction image segmentation imaging systems machine learning medical images network architecture neural networks segmentation methods supervised learning

Editors and affiliations

  • Yinghuan Shi
    • 1
  • Heung-Il Suk
    • 2
  • Mingxia Liu
    • 3
  1. 1.Nanjing UniversityNanjingChina
  2. 2.617A, Science LibraryKorea UniversitySeoulKorea (Republic of)
  3. 3.University of North Carolina at Chapel HChapel HillUSA

Bibliographic information

Industry Sectors
Automotive
Chemical Manufacturing
Health & Hospitals
Biotechnology
Electronics
IT & Software
Telecommunications
Law
Consumer Packaged Goods
Pharma
Materials & Steel
Energy, Utilities & Environment
Aerospace
Oil, Gas & Geosciences
Engineering