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Machine Learning and Medical Engineering for Cardiovascular Health and Intravascular Imaging and Computer Assisted Stenting

First International Workshop, MLMECH 2019, and 8th Joint International Workshop, CVII-STENT 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings

  • Hongen Liao
  • Simone Balocco
  • Guijin Wang
  • Feng Zhang
  • Yongpan Liu
  • Zijian Ding
  • Luc Duong
  • Renzo Phellan
  • Guillaume Zahnd
  • Katharina Breininger
  • Shadi Albarqouni
  • Stefano Moriconi
  • Su-Lin Lee
  • Stefanie Demirci
Conference proceedings MLMECH 2019, CVII-STENT 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11794)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 11794)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Proceedings of the Machine Learning and Medical Engineering for Cardiovascular Health

    1. Front Matter
      Pages 1-1
    2. Chengbin Huang, Renjie Zhao, Weiting Chen, Huazheng Li
      Pages 3-10
    3. Jinjing Zhu, Kaifa Xin, Qingqing Zhao, Yue Zhang
      Pages 11-19
    4. Dongya Jia, Wei Zhao, Zhenqi Li, Cong Yan, Hongmei Wang, Jing Hu et al.
      Pages 20-27
    5. Ke Wang, Xuan Zhang, Haoxi Zhong, Ting Chen
      Pages 28-35
    6. Longting Chen, Guanghua Xu, Sicong Zhang, Jiachen Kuang, Long Hao
      Pages 45-54
    7. Chengsi Luo, Hongxiu Jiang, Quanchi Li, Nini Rao
      Pages 55-63
    8. Guanghong Bin, Yongyue Sun, Jiao Huang, Guangyu Bin
      Pages 64-71
    9. Chunli Wang, Shan Yang, Xun Tang, Bin Li
      Pages 72-79
    10. Zhourui Xia, Zhenhua Sang, Yutong Guo, Weijie Ji, Chenguang Han, Yanlin Chen et al.
      Pages 80-87
    11. Yang Liu, Runnan He, Kuanquan Wang, Qince Li, Qiang Sun, Na Zhao et al.
      Pages 88-95
    12. Shelda Sajeev, Anthony Maeder, Stephanie Champion, Alline Beleigoli, Cheng Ton, Xianglong Kong et al.
      Pages 96-103
    13. Zijian Ding, Shan Qiu, Yutong Guo, Jianping Lin, Li Sun, Dapeng Fu et al.
      Pages 104-111
    14. Bowen Fan, Naoki Tomii, Hiroyuki Tsukihara, Eriko Maeda, Haruo Yamauchi, Kan Nawata et al.
      Pages 121-129
  3. Proceedings of the Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting

    1. Front Matter
      Pages 139-139
    2. Renzo Phellan, Thomas Lindner, Michael Helle, Alexandre X. Falcão, Nils D. Forkert
      Pages 141-148
    3. Stefano Moriconi, Rafael Rehwald, Maria A. Zuluaga, H. Rolf Jäger, Parashkev Nachev, Sébastien Ourselin et al.
      Pages 149-157
    4. Christoph Angermann, Markus Haltmeier
      Pages 158-166
    5. Karen López-Linares, Maialen Stephens, Inmaculada García, Iván Macía, Miguel Ángel González Ballester, Raúl San José Estepar
      Pages 167-174
    6. Yihe Zhang, Xiuxiu Bai, Qinhua Jin, Jing Jing, Yundai Chen, Qiang Liu et al.
      Pages 175-183
    7. Shengnan Liu, Denis P. Shamonin, Guillaume Zahnd, A. F. W. van der Steen, Theo van Walsum, Gijs van Soest
      Pages 184-192
    8. Ramtin Gharleghi, Heidi Wright, Somesh Khullar, Jinbo Liu, Tapabrata Ray, Susann Beier
      Pages 193-200
    9. Li Chen, Gaoang Wang, Niranjan Balu, Mahmud Mossa-Basha, Xihai Zhao, Rui Li et al.
      Pages 201-209
  4. Back Matter
    Pages 211-212

About these proceedings

Introduction

This book constitutes the refereed proceedings of the First International Workshop on Machine Learning and Medical Engineering for Cardiovasvular Healthcare, MLMECH 2019, and the International Joint Workshops on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.

For MLMECH 2019, 16 papers were accepted for publication from a total of 21 submissions. They focus on machine learning techniques and analyzing of ECG data in the diagnosis of heart diseases. 

CVII-STENT 2019 accepted all 8 submissiones for publication. They contain technological and scientific research concerning endovascular procedures. 

Keywords

artificial intelligence classification competition image analysis image segmentation neural networks

Editors and affiliations

  • Hongen Liao
    • 1
  • Simone Balocco
    • 2
  • Guijin Wang
    • 3
  • Feng Zhang
    • 4
  • Yongpan Liu
    • 5
  • Zijian Ding
    • 6
  • Luc Duong
    • 7
  • Renzo Phellan
    • 8
  • Guillaume Zahnd
    • 9
  • Katharina Breininger
    • 10
  • Shadi Albarqouni
    • 11
  • Stefano Moriconi
    • 12
  • Su-Lin Lee
    • 13
  • Stefanie Demirci
    • 14
  1. 1.Tsinghua UniversityBeijingChina
  2. 2.University of BarcelonaBarcelonaSpain
  3. 3.Tsinghua UniversityBeijingChina
  4. 4.Chinese Academy of SciencesBeijingChina
  5. 5.Tsinghua UniversityBeijingChina
  6. 6.Tsinghua UniversityBeijingChina
  7. 7.École de Technologie SupérieureMontrealCanada
  8. 8.University of CalgaryCalgaryCanada
  9. 9.Technical University of MunichMunichGermany
  10. 10.Friedrich-Alexander-University Erlangen-NürnbergErlangenGermany
  11. 11.Technical University of MunichMunichGermany
  12. 12.University College LondonLondonUK
  13. 13.Imperial College LondonLondonUK
  14. 14.Technical University of MunichMunichGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-33327-0
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-33326-3
  • Online ISBN 978-3-030-33327-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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