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  • Conference proceedings
  • © 2018

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

Editors:

  1. Danail Stoyanov

    1. University College London, London, UK

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  2. Zeike Taylor

    1. University of Leeds, Leeds, UK

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  3. Simone Balocco

    1. University of Barcelona, Barcelona, Spain

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  4. Raphael Sznitman

    1. University of Bern, Bern, Switzerland

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  5. Anne Martel

    1. Sunnybrook Health Science Centre, Toronto, Canada

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  6. Lena Maier-Hein

    1. German Cancer Research Center, Heidelberg, Germany

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  7. Luc Duong

    1. Ecole de Technologie Superieure, Montreal, Canada

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  8. Guillaume Zahnd

    1. Technical University of München, Garching, Germany

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  9. Stefanie Demirci

    1. Technical University Munich, Munich, Germany

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  10. Shadi Albarqouni

    1. Technical University of München, Garching, Germany

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  11. Su-Lin Lee

    1. Imperial College London, London, UK

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  12. Stefano Moriconi

    1. University College London, London, UK

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  13. Veronika Cheplygina

    1. Eindhoven University of Technology, Eindhoven, The Netherlands

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  14. Diana Mateus

    1. Technical University of Munich, Garching, Germany

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  15. Emanuele Trucco

    1. University of Dundee, Dundee, UK

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  16. Eric Granger

    1. École de Technologie Supérieure, Montréal, Canada

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  17. Pierre Jannin

    1. Universite de Rennes 1, Rennes, France

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

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 2018, LABELS 2018, STENT 2018.

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Table of contents (22 papers)

  1. Front Matter

    Pages I-XVII
    PDF

  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
      PDF

    2. Blood-Flow Estimation in the Hepatic Arteries Based on 3D/2D Angiography Registration

      • Simon Lessard, Rosalie Planteféve, François Michaud, Catherine Huet, Gilles Soulez, Samuel Kadoury
      Pages 3-10

    3. Automated Quantification of Blood Flow Velocity from Time-Resolved CT Angiography

      • Pieter Thomas Boonen, Nico Buls, Gert Van Gompel, Yannick De Brucker, Dimitri Aerden, Johan De Mey et al.
      Pages 11-18

    4. Multiple Device Segmentation for Fluoroscopic Imaging Using Multi-task Learning

      • Katharina Breininger, Tobias Würfl, Tanja Kurzendorfer, Shadi Albarqouni, Marcus Pfister, Markus Kowarschik et al.
      Pages 19-27

    5. Segmentation of the Aorta Using Active Contours with Histogram-Based Descriptors

      • Miguel Alemán-Flores, Daniel Santana-Cedrés, Luis Alvarez, Agustín Trujillo, Luis Gómez, Pablo G. Tahoces et al.
      Pages 28-35

    8. Deep Learning-Based Detection and Segmentation for BVS Struts in IVOCT Images

      • Yihui Cao, Yifeng Lu, Qinhua Jin, Jing Jing, Yundai Chen, Jianan Li et al.
      Pages 55-63

    10. Prediction of FFR from IVUS Images Using Machine Learning

      • 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
      PDF

    2. An Efficient and Comprehensive Labeling Tool for Large-Scale Annotation of Fundus Images

      • Jaemin Son, Sangkeun Kim, Sang Jun Park, Kyu-Hwan Jung
      Pages 95-104

    3. Crowd Disagreement About Medical Images Is Informative

      • Veronika Cheplygina, Josien P. W. Pluim
      Pages 105-111

    4. Imperfect Segmentation Labels: How Much Do They Matter?

      • Nicholas Heller, Joshua Dean, Nikolaos Papanikolopoulos
      Pages 112-120

    5. Crowdsourcing Annotation of Surgical Instruments in Videos of Cataract Surgery

      • Tae Soo Kim, Anand Malpani, Austin Reiter, Gregory D. Hager, Shameema Sikder, S. Swaroop Vedula
      Pages 121-130

    6. Four-Dimensional ASL MR Angiography Phantoms with Noise Learned by Neural Styling

      • Renzo Phellan, Thomas Linder, Michael Helle, Thiago V. Spina, Alexandre Falcão, Nils D. Forkert
      Pages 131-139

    7. Feature Learning Based on Visual Similarity Triplets in Medical Image Analysis: A Case Study of Emphysema in Chest CT Scans

      • Silas Nyboe Ørting, Jens Petersen, Veronika Cheplygina, Laura H. Thomsen, Mathilde M. W. Wille, Marleen de Bruijne
      Pages 140-149

    8. Capsule Networks Against Medical Imaging Data Challenges

      • Amelia Jiménez-Sánchez, Shadi Albarqouni, Diana Mateus
      Pages 150-160
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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 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.

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Keywords

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Editors and Affiliations

  • University College London, London, UK

    Danail Stoyanov, Stefano Moriconi

  • University of Leeds, Leeds, UK

    Zeike Taylor

  • University of Barcelona, Barcelona, Spain

    Simone Balocco

  • University of Bern, Bern, Switzerland

    Raphael Sznitman

  • Sunnybrook Health Science Centre, Toronto, Canada

    Anne Martel

  • German Cancer Research Center, Heidelberg, Germany

    Lena Maier-Hein

  • Ecole de Technologie Superieure, Montreal, Canada

    Luc Duong

  • Technical University of München, Garching, Germany

    Guillaume Zahnd, Shadi Albarqouni

  • Technical University Munich, Munich, Germany

    Stefanie Demirci

  • Imperial College London, London, UK

    Su-Lin Lee

  • Eindhoven University of Technology, Eindhoven, The Netherlands

    Veronika Cheplygina

  • Technical University of Munich, Garching, Germany

    Diana Mateus

  • University of Dundee, Dundee, UK

    Emanuele Trucco

  • École de Technologie Supérieure, Montréal, Canada

    Eric Granger

  • Universite de Rennes 1, Rennes, France

    Pierre Jannin

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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: 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

  • Editors: 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

  • Series Title: Lecture Notes in Computer Science

  • DOI: https://doi.org/10.1007/978-3-030-01364-6

  • Publisher: Springer Cham

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

  • Copyright Information: Springer Nature Switzerland AG 2018

  • Softcover ISBN: 978-3-030-01363-9Published: 17 October 2018

  • eBook ISBN: 978-3-030-01364-6Published: 16 October 2018

  • Series ISSN: 0302-9743

  • Series E-ISSN: 1611-3349

  • Edition Number: 1

  • Number of Pages: XVII, 202

  • Number of Illustrations: 46 b/w illustrations, 65 illustrations in colour

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

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Access via your institution

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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