Advertisement

Machine Learning in Medical Imaging

10th International Workshop, MLMI 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings

  • Heung-Il Suk
  • Mingxia Liu
  • Pingkun Yan
  • Chunfeng Lian
Conference proceedings MLMI 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11861)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 11861)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Xuhua Ren, Lichi Zhang, Dongming Wei, Dinggang Shen, Qian Wang
    Pages 1-8
  3. Bolin Lai, Shiqi Peng, Guangyu Yao, Ya Zhang, Xiaoyun Zhang, Yanfeng Wang et al.
    Pages 9-17
  4. Yiqiu Shen, Nan Wu, Jason Phang, Jungkyu Park, Gene Kim, Linda Moy et al.
    Pages 18-26
  5. Hykoush Asaturyan, E. Louise Thomas, Julie Fitzpatrick, Jimmy D. Bell, Barbara Villarini
    Pages 27-35
  6. Haomiao Ni, Hong Liu, Kuansong Wang, Xiangdong Wang, Xunjian Zhou, Yueliang Qian
    Pages 36-44
  7. Sen Zhang, Changzheng Zhang, Lanjun Wang, Cixing Li, Dandan Tu, Rui Luo et al.
    Pages 54-62
  8. Changzheng Zhang, Dong Liu, Lanjun Wang, Yaoxin Li, Xiaoshi Chen, Rui Luo et al.
    Pages 63-72
  9. Feng Yang, Hang Yu, Kamolrat Silamut, Richard J. Maude, Stefan Jaeger, Sameer Antani
    Pages 73-80
  10. Shengyang Li, Xiaoyun Zhang, Xiaoxia Wang, Yumin Zhong, Xiaofen Yao, Ya Zhang et al.
    Pages 81-88
  11. Ali Hatamizadeh, Assaf Hoogi, Debleena Sengupta, Wuyue Lu, Brian Wilcox, Daniel Rubin et al.
    Pages 98-105
  12. Shunbo Hu, Lintao Zhang, Guoqiang Li, Mingtao Liu, Deqian Fu, Wenyin Zhang
    Pages 106-114
  13. Jinzheng Cai, Yingda Xia, Dong Yang, Daguang Xu, Lin Yang, Holger Roth
    Pages 124-132
  14. Wenqi Li, Fausto Milletarì, Daguang Xu, Nicola Rieke, Jonny Hancox, Wentao Zhu et al.
    Pages 133-141
  15. Junwei Li, Wei Shao, Zhongnian Li, Weida Li, Daoqiang Zhang
    Pages 142-150
  16. Abdullah-Al-Zubaer Imran, Demetri Terzopoulos
    Pages 151-159
  17. Wei Huang, Mingyuan Luo, Xi Liu, Peng Zhang, Huijun Ding, Dong Ni
    Pages 160-168
  18. Joost van der Putten, Jeroen de Groof, Fons van der Sommen, Maarten Struyvenberg, Svitlana Zinger, Wouter Curvers et al.
    Pages 169-177
  19. Jianbo Jiao, Ana I. L. Namburete, Aris T. Papageorghiou, J. Alison Noble
    Pages 178-186
  20. Ali Hatamizadeh, Demetri Terzopoulos, Andriy Myronenko
    Pages 187-194
  21. Juan Miguel Valverde, Artem Shatillo, Riccardo De Feo, Olli Gröhn, Alejandra Sierra, Jussi Tohka
    Pages 195-202
  22. Dongming Wei, Sahar Ahmad, Zhengwang Wu, Xiaohuan Cao, Xuhua Ren, Gang Li et al.
    Pages 203-211
  23. Fengze Liu, Lingxi Xie, Yingda Xia, Elliot Fishman, Alan Yuille
    Pages 212-220
  24. Fengze Liu, Yuyin Zhou, Elliot Fishman, Alan Yuille
    Pages 221-229
  25. Jiali Liu, Wenxuan Wang, Tianyao Guan, Ningbo Zhao, Xiaoguang Han, Zhen Li
    Pages 230-237
  26. Aliasghar Mortazi, Naji Khosravan, Drew A. Torigian, Sila Kurugol, Ulas Bagci
    Pages 238-246
  27. Diya Sun, Yuru Pei, Yungeng Zhang, Yuke Guo, Gengyu Ma, Tianmin Xu et al.
    Pages 247-255
  28. Wenwen Li, Jian Lou, Shuo Zhou, Haiping Lu
    Pages 256-264
  29. Shuo Zhou, Christopher R. Cox, Haiping Lu
    Pages 265-273
  30. Jiang Tian, Li Liu, Zhongchao Shi, Feiyu Xu
    Pages 274-282
  31. Shohei Hayashi, Bisser Raytchev, Toru Tamaki, Kazufumi Kaneda
    Pages 283-291
  32. Balamurali Murugesan, Kaushik Sarveswaran, Sharath M. Shankaranarayana, Keerthi Ram, Jayaraj Joseph, Mohanasankar Sivaprakasam
    Pages 292-300
  33. Meenakshi Khosla, Keith Jamison, Amy Kuceyeski, Mert R. Sabuncu
    Pages 301-309
  34. Riqiang Gao, Yuankai Huo, Shunxing Bao, Yucheng Tang, Sanja L. Antic, Emily S. Epstein et al.
    Pages 310-318
  35. Lei Song, Jianzhe Lin, Z. Jane Wang, Haoqian Wang
    Pages 319-327
  36. Qingyu Zhao, Ehsan Adeli, Adolf Pfefferbaum, Edith V. Sullivan, Kilian M. Pohl
    Pages 328-336
  37. Kin Quan, Ryutaro Tanno, Michael Duong, Arjun Nair, Rebecca Shipley, Mark Jones et al.
    Pages 345-354
  38. Xiaoran Chen, Nick Pawlowski, Ben Glocker, Ender Konukoglu
    Pages 355-363
  39. Yanan Wei, Xuan Jiang, Kun Liu, Cheng Zhong, Zhongchao Shi, Jianjun Leng et al.
    Pages 364-372
  40. Danfeng Xie, Yiran Li, HanLu Yang, Donghui Song, Yuanqi Shang, Qiu Ge et al.
    Pages 373-381
  41. Nicha C. Dvornek, Xiaoxiao Li, Juntang Zhuang, James S. Duncan
    Pages 382-390
  42. Shafa Balaram, Kai Arulkumaran, Tianhong Dai, Anil Anthony Bharath
    Pages 400-408
  43. Bin Xiao, Xiaoqing Cheng, Qingfeng Li, Qian Wang, Lichi Zhang, Dongming Wei et al.
    Pages 409-416
  44. Saeid Asgari Taghanaki, Aicha Bentaieb, Anmol Sharma, S. Kevin Zhou, Yefeng Zheng, Bogdan Georgescu et al.
    Pages 417-425
  45. Shiqi Peng, Bolin Lai, Guangyu Yao, Xiaoyun Zhang, Ya Zhang, Yan-Feng Wang et al.
    Pages 426-434

About these proceedings

Introduction

This book constitutes the proceedings of the 10th International Workshop on Machine Learning in Medical Imaging, MLMI 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. 

The 78 papers presented in this volume were carefully reviewed and selected from 158 submissions. 
They focus on major trends and challenges in the area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc. 

Keywords

artificial intelligence automatic segmentations ct image image analysis image reconstruction image registration image segmentation learning algorithms medical images neural networks recurrent neural networks segmentation methods Support Vector Machines (SVM)

Editors and affiliations

  1. 1.Korea UniversitySeoulKorea (Republic of)
  2. 2.University of North CarolinaChapel HillUSA
  3. 3.Rensselaer Polytechnic InstituteTroyUSA
  4. 4.University of North CarolinaChapel HillUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-32692-0
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-32691-3
  • Online ISBN 978-3-030-32692-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
Industry Sectors
Pharma
Automotive
Chemical Manufacturing
Health & Hospitals
Biotechnology
Electronics
IT & Software
Telecommunications
Consumer Packaged Goods
Aerospace
Engineering