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

6th Joint International Workshops, CVII-STENT 2017 and Second International Workshop, LABELS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings

  • M. Jorge Cardoso
  • Tal Arbel
  • Su-Lin Lee
  • Veronika Cheplygina
  • Simone Balocco
  • Diana Mateus
  • Guillaume Zahnd
  • Lena Maier-Hein
  • Stefanie Demirci
  • Eric Granger
  • Luc Duong
  • Marc-André Carbonneau
  • Shadi Albarqouni
  • Gustavo Carneiro
Conference proceedings LABELS 2017, STENT 2017, CVII 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10552)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 10552)

Table of contents

  1. Front Matter
    Pages I-XVI
  2. 6th Joint International Workshops on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2017

    1. Front Matter
      Pages 1-1
    2. Luis Alvarez, Esther González, Julio Esclarín, Luis Gomez, Miguel Alemán-Flores, Agustín Trujillo et al.
      Pages 3-11
    3. Simone Balocco, Francesco Ciompi, Juan Rigla, Xavier Carrillo, Josepa Mauri, Petia Radeva
      Pages 12-19
    4. R. Plantefève, S. Kadoury, A. Tang, I. Peterlik
      Pages 20-28
    5. Karen López-Linares, Luis Kabongo, Nerea Lete, Gregory Maclair, Mario Ceresa, Ainhoa García-Familiar et al.
      Pages 29-38
    6. Renzo Phellan, Alan Peixinho, Alexandre Falcão, Nils D. Forkert
      Pages 39-46
    7. Ketan Bacchuwar, Jean Cousty, Régis Vaillant, Laurent Najman
      Pages 47-56
  3. Second International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2017

    1. Front Matter
      Pages 57-57
    2. Veronika Cheplygina, Pim Moeskops, Mitko Veta, Behdad Dashtbozorg, Josien P. W. Pluim
      Pages 59-66
    3. Chuanhai Zhang, Wallapak Tavanapong, Johnny Wong, Piet C. de Groen, JungHwan Oh
      Pages 67-76
    4. Joseph G. Jacobs, Gabriel J. Brostow, Alex Freeman, Daniel C. Alexander, Eleftheria Panagiotaki
      Pages 77-86
    5. Yaniv Gur, Mehdi Moradi, Hakan Bulu, Yufan Guo, Colin Compas, Tanveer Syeda-Mahmood
      Pages 87-95
    6. Alison Q. O’Neil, John T. Murchison, Edwin J. R. van Beek, Keith A. Goatman
      Pages 96-105
    7. Laurent Lejeune, Mario Christoudias, Raphael Sznitman
      Pages 106-115
    8. Silas Nyboe Ørting, Veronika Cheplygina, Jens Petersen, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne
      Pages 126-135
    9. Nicholas Heller, Panagiotis Stanitsas, Vassilios Morellas, Nikolaos Papanikolopoulos
      Pages 136-145
    10. Sebastian Otálora, Oscar Perdomo, Fabio González, Henning Müller
      Pages 146-154
  4. Back Matter
    Pages 165-166

About these proceedings


This book constitutes the refereed joint proceedings of the 6th Joint International Workshop on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2017, and the Second International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017.

The 6 full papers presented at CVII-STENT 2017 and the 11 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.


artificial intelligence classification classifiers computer aided design computer vision computerized tomography image analysis image enhancement image reconstruction image segmentation imaging systems learning algorithms learning systems machine learning medical imaging neural networks segmentation methods supervised learning Support Vector Machines (SVM)

Editors and affiliations

  • M. Jorge Cardoso
    • 1
  • Tal Arbel
    • 2
  • Su-Lin Lee
    • 3
  • Veronika Cheplygina
    • 4
  • Simone Balocco
    • 5
  • Diana Mateus
    • 6
  • Guillaume Zahnd
    • 7
  • Lena Maier-Hein
    • 8
  • Stefanie Demirci
    • 9
  • Eric Granger
    • 10
  • Luc Duong
    • 11
  • Marc-André Carbonneau
    • 12
  • Shadi Albarqouni
    • 13
  • Gustavo Carneiro
    • 14
  1. 1.University College LondonLondonUnited Kingdom
  2. 2.McGill UniversityMontrealCanada
  3. 3.Imperial College LondonLondonUnited Kingdom
  4. 4.Eindhoven University of TechnologyEindhovenThe Netherlands
  5. 5.University of BarcelonaBarcelonaSpain
  6. 6.Technical University of MunichGarchingGermany
  7. 7.Nara Institute of Science and TechnologyNaraJapan
  8. 8.DKFZHeidelbergGermany
  9. 9.Technical University MunichMunichGermany
  10. 10.École de Technologie SupérieureMontrealCanada
  11. 11.École de Technologie SupérieureMontrealCanada
  12. 12.École de Technologie SupérieureMontrealCanada
  13. 13.Technical University MunichMunichGermany
  14. 14.University of AdelaideAdelaideAustralia

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