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Intravascular Imaging and Computer Assisted Stenting and Large-Scale Annotation of Biomedical Data and Expert Label Synthesis

7th Joint International Workshop, CVII-STENT 2018 and Third International Workshop, LABELS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings

  • Danail Stoyanov
  • Zeike Taylor
  • Simone Balocco
  • Raphael Sznitman
  • Anne Martel
  • Lena Maier-Hein
  • Luc Duong
  • Guillaume Zahnd
  • Stefanie Demirci
  • Shadi Albarqouni
  • Su-Lin Lee
  • Stefano Moriconi
  • Veronika Cheplygina
  • Diana Mateus
  • Emanuele Trucco
  • Eric Granger
  • Pierre Jannin
Conference proceedings LABELS 2018, CVII 2018, STENT 2018

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11043)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 11043)

Table of contents

  1. Front Matter
    Pages I-XVII
  2. Proceedings of the 7th Joint MICCAI Workshop on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting (CVII-STENT 2018)

    1. Front Matter
      Pages 1-1
    2. Simon Lessard, Rosalie Planteféve, François Michaud, Catherine Huet, Gilles Soulez, Samuel Kadoury
      Pages 3-10
    3. Pieter Thomas Boonen, Nico Buls, Gert Van Gompel, Yannick De Brucker, Dimitri Aerden, Johan De Mey et al.
      Pages 11-18
    4. Katharina Breininger, Tobias Würfl, Tanja Kurzendorfer, Shadi Albarqouni, Marcus Pfister, Markus Kowarschik et al.
      Pages 19-27
    5. Miguel Alemán-Flores, Daniel Santana-Cedrés, Luis Alvarez, Agustín Trujillo, Luis Gómez, Pablo G. Tahoces et al.
      Pages 28-35
    6. Yihui Cao, Yifeng Lu, Qinhua Jin, Jing Jing, Yundai Chen, Jianan Li et al.
      Pages 55-63
    7. Geena Kim, June-Goo Lee, Soo-Jin Kang, Paul Ngyuen, Do-Yoon Kang, Pil Hyung Lee et al.
      Pages 73-81
  3. Proceedings of the 3rd International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis (LABELS 2018)

    1. Front Matter
      Pages 93-93
    2. Jaemin Son, Sangkeun Kim, Sang Jun Park, Kyu-Hwan Jung
      Pages 95-104
    3. Veronika Cheplygina, Josien P. W. Pluim
      Pages 105-111
    4. Nicholas Heller, Joshua Dean, Nikolaos Papanikolopoulos
      Pages 112-120
    5. Tae Soo Kim, Anand Malpani, Austin Reiter, Gregory D. Hager, Shameema Sikder, S. Swaroop Vedula
      Pages 121-130
    6. Renzo Phellan, Thomas Linder, Michael Helle, Thiago V. Spina, Alexandre Falcão, Nils D. Forkert
      Pages 131-139
    7. Silas Nyboe Ørting, Jens Petersen, Veronika Cheplygina, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne
      Pages 140-149
    8. Amelia Jiménez-Sánchez, Shadi Albarqouni, Diana Mateus
      Pages 150-160
    9. Sekeun Kim, Yeonggul Jang, Byunghwan Jeon, Youngtaek Hong, Hackjoon Shim, Hyukjae Chang
      Pages 161-168
    10. Armine Vardazaryan, Didier Mutter, Jacques Marescaux, Nicolas Padoy
      Pages 169-179
    11. Obioma Pelka, Sven Koitka, Johannes Rückert, Felix Nensa, Christoph M. Friedrich
      Pages 180-189
    12. Oscar Esteban, Russell A. Poldrack, Krzysztof J. Gorgolewski
      Pages 190-199
  4. Back Matter
    Pages 201-202

About these proceedings

Introduction

This book constitutes the refereed joint proceedings of the 7th Joint International Workshop on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2018, and the Third International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2018, held in conjunction with the 21th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018.
The 9 full papers presented at CVII-STENT 2017 and the 12 full papers presented at LABELS 2017 were carefully reviewed and selected. The CVII-STENT papers feature the state of the art in imaging, treatment, and computer-assisted intervention in the field of endovascular interventions. The LABELS papers present a variety of approaches for dealing with few labels, from transfer learning to crowdsourcing.

Keywords

Artificial intelligence Automatic segmentations Classification Image analysis Image processing Image reconstruction Image segmentation Learning algorithms Medical images Medical imaging Neural networks Pattern recognition Segmentation methods Semantics Support Vector Machines (SVM)

Editors and affiliations

  • Danail Stoyanov
    • 1
  • Zeike Taylor
    • 2
  • Simone Balocco
    • 3
  • Raphael Sznitman
    • 4
  • Anne Martel
    • 5
  • Lena Maier-Hein
    • 6
  • Luc Duong
    • 7
  • Guillaume Zahnd
    • 8
  • Stefanie Demirci
    • 9
  • Shadi Albarqouni
    • 10
  • Su-Lin Lee
    • 11
  • Stefano Moriconi
    • 12
  • Veronika Cheplygina
    • 13
  • Diana Mateus
    • 14
  • Emanuele Trucco
    • 15
  • Eric Granger
    • 16
  • Pierre Jannin
    • 17
  1. 1.University College LondonLondonUK
  2. 2.University of LeedsLeedsUK
  3. 3.University of BarcelonaBarcelonaSpain
  4. 4.University of BernBernSwitzerland
  5. 5.Sunnybrook Health Science CentreTorontoCanada
  6. 6.German Cancer Research CenterHeidelbergGermany
  7. 7.Ecole de Technologie SuperieureMontrealCanada
  8. 8.Technical University of MünchenGarchingGermany
  9. 9.Technical University MunichMunichGermany
  10. 10.Technical University of MünchenGarchingGermany
  11. 11.Imperial College LondonLondonUK
  12. 12.University College LondonLondonUK
  13. 13.Eindhoven University of TechnologyEindhovenThe Netherlands
  14. 14.Technical University of MunichGarchingGermany
  15. 15.University of DundeeDundeeUK
  16. 16.École de Technologie SupérieureMontréalCanada
  17. 17.Universite de Rennes 1RennesFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-01364-6
  • Copyright Information Springer Nature Switzerland AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-01363-9
  • Online ISBN 978-3-030-01364-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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