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  • Conference proceedings
  • © 2017

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

Editors:

  1. M. Jorge Cardoso

    1. University College London, London, United Kingdom

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  2. Tal Arbel

    1. McGill University, Montreal, Canada

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  3. Su-Lin Lee

    1. Imperial College London, London, United Kingdom

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  4. Veronika Cheplygina

    1. Eindhoven University of Technology, Eindhoven, The Netherlands

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  5. Simone Balocco

    1. University of Barcelona, Barcelona, Spain

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  6. Diana Mateus

    1. Technical University of Munich, Garching, Germany

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  7. Guillaume Zahnd

    1. Nara Institute of Science and Technology, Nara, Japan

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  8. Lena Maier-Hein

    1. DKFZ, Heidelberg, Germany

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  9. Stefanie Demirci

    1. Technical University Munich, Munich, Germany

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  10. Eric Granger

    1. École de Technologie Supérieure, Montreal, Canada

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  11. Luc Duong

    1. École de Technologie Supérieure, Montreal, Canada

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  12. Marc-André Carbonneau

    1. École de Technologie Supérieure, Montreal, Canada

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  13. Shadi Albarqouni

    1. Technical University Munich, Munich, Germany

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  14. Gustavo Carneiro

    1. University of Adelaide, Adelaide, Australia

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

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Conference series link(s): CVII-STENT: Joint MICCAI-Workshops on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, LABELS: International Workshop on Large-scale Annotation of Biomedical data and Expert Label Synthesis, STENT: International Workshop on Computer Assisted Stenting

Conference proceedings info: CVII 2017, LABELS 2017, STENT 2017.

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Table of contents (17 papers)

  1. Front Matter

    Pages I-XVI
    PDF

  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
      PDF

    2. Robust Detection of Circles in the Vessel Contours and Application to Local Probability Density Estimation

      • Luis Alvarez, Esther González, Julio Esclarín, Luis Gomez, Miguel Alemán-Flores, Agustín Trujillo et al.
      Pages 3-11

    3. Intra-coronary Stent Localization in Intravascular Ultrasound Sequences, A Preliminary Study

      • Simone Balocco, Francesco Ciompi, Juan Rigla, Xavier Carrillo, Josepa Mauri, Petia Radeva
      Pages 12-19

    4. Robust Automatic Graph-Based Skeletonization of Hepatic Vascular Trees

      • R. Plantefève, S. Kadoury, A. Tang, I. Peterlik
      Pages 20-28

    5. DCNN-Based Automatic Segmentation and Quantification of Aortic Thrombus Volume: Influence of the Training Approach

      • Karen López-Linares, Luis Kabongo, Nerea Lete, Gregory Maclair, Mario Ceresa, Ainhoa García-Familiar et al.
      Pages 29-38

    6. Vascular Segmentation in TOF MRA Images of the Brain Using a Deep Convolutional Neural Network

      • Renzo Phellan, Alan Peixinho, Alexandre Falcão, Nils D. Forkert
      Pages 39-46

    7. VOIDD: Automatic Vessel-of-Intervention Dynamic Detection in PCI Procedures

      • 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
      PDF

    2. Exploring the Similarity of Medical Imaging Classification Problems

      • Veronika Cheplygina, Pim Moeskops, Mitko Veta, Behdad Dashtbozorg, Josien P. W. Pluim
      Pages 59-66

    3. Real Data Augmentation for Medical Image Classification

      • Chuanhai Zhang, Wallapak Tavanapong, Johnny Wong, Piet C. de Groen, JungHwan Oh
      Pages 67-76

    4. Detecting and Classifying Nuclei on a Budget

      • Joseph G. Jacobs, Gabriel J. Brostow, Alex Freeman, Daniel C. Alexander, Eleftheria Panagiotaki
      Pages 77-86

    5. Towards an Efficient Way of Building Annotated Medical Image Collections for Big Data Studies

      • Yaniv Gur, Mehdi Moradi, Hakan Bulu, Yufan Guo, Colin Compas, Tanveer Syeda-Mahmood
      Pages 87-95

    6. Crowdsourcing Labels for Pathological Patterns in CT Lung Scans: Can Non-experts Contribute Expert-Quality Ground Truth?

      • Alison Q. O’Neil, John T. Murchison, Edwin J. R. van Beek, Keith A. Goatman
      Pages 96-105

    7. Expected Exponential Loss for Gaze-Based Video and Volume Ground Truth Annotation

      • Laurent Lejeune, Mario Christoudias, Raphael Sznitman
      Pages 106-115

    9. Crowdsourced Emphysema Assessment

      • Silas Nyboe Ørting, Veronika Cheplygina, Jens Petersen, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne
      Pages 126-135

    10. A Web-Based Platform for Distributed Annotation of Computerized Tomography Scans

      • Nicholas Heller, Panagiotis Stanitsas, Vassilios Morellas, Nikolaos Papanikolopoulos
      Pages 136-145

    11. Training Deep Convolutional Neural Networks with Active Learning for Exudate Classification in Eye Fundus Images

      • Sebastian Otálora, Oscar Perdomo, Fabio González, Henning Müller
      Pages 146-154
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Other Volumes

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

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About this book

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.

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Keywords

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Editors and Affiliations

  • University College London, London, United Kingdom

    M. Jorge Cardoso

  • McGill University, Montreal, Canada

    Tal Arbel

  • Imperial College London, London, United Kingdom

    Su-Lin Lee

  • Eindhoven University of Technology, Eindhoven, The Netherlands

    Veronika Cheplygina

  • University of Barcelona, Barcelona, Spain

    Simone Balocco

  • Technical University of Munich, Garching, Germany

    Diana Mateus

  • Nara Institute of Science and Technology, Nara, Japan

    Guillaume Zahnd

  • DKFZ, Heidelberg, Germany

    Lena Maier-Hein

  • Technical University Munich, Munich, Germany

    Stefanie Demirci, Shadi Albarqouni

  • École de Technologie Supérieure, Montreal, Canada

    Eric Granger, Luc Duong, Marc-André Carbonneau

  • University of Adelaide, Adelaide, Australia

    Gustavo Carneiro

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Bibliographic Information

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

  • Book Subtitle: 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

  • Editors: 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

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-319-67534-3

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer International Publishing AG 2017

  • Softcover ISBN: 978-3-319-67533-6Published: 08 September 2017

  • eBook ISBN: 978-3-319-67534-3Published: 06 September 2017

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVI, 166

  • Number of Illustrations: 73 b/w illustrations

  • Topics: Image Processing and Computer Vision, Health Informatics, Artificial Intelligence, Computer Systems Organization and Communication Networks

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Buy it now

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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