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Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures

First International Workshop, UNSURE 2019, and 8th International Workshop, CLIP 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 17, 2019, Proceedings

  • Hayit Greenspan
  • Ryutaro Tanno
  • Marius Erdt
  • Tal Arbel
  • Christian Baumgartner
  • Adrian Dalca
  • Carole H.  Sudre
  • William M. Wells
  • Klaus Drechsler
  • Marius George Linguraru
  • Cristina Oyarzun Laura
  • Raj Shekhar
  • Stefan Wesarg
  • Miguel Ángel González Ballester
Conference proceedings CLIP 2019, UNSURE 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11840)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 11840)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. UNSURE 2019: Uncertainty Quantification and Noise Modelling

    1. Front Matter
      Pages 1-1
    2. Dennis Madsen, Thomas Vetter, Marcel Lüthi
      Pages 3-11
    3. Alireza Sedghi, Tina Kapur, Jie Luo, Parvin Mousavi, William M. Wells III
      Pages 12-22
    4. Raghav Mehta, Thomas Christinck, Tanya Nair, Paul Lemaitre, Douglas Arnold, Tal Arbel
      Pages 23-32
    5. Gregor N. Ramien, Paul F. Jaeger, Simon A. A. Kohl, Klaus H. Maier-Hein
      Pages 33-41
    6. Pieter Van Molle, Tim Verbelen, Cedric De Boom, Bert Vankeirsbilck, Jonas De Vylder, Bart Diricx et al.
      Pages 52-61
  3. UNSURE 2019: Domain Shift Robustness

    1. Front Matter
      Pages 63-63
    2. Min Zhang, Kevin H. Leung, Zili Ma, Jin Wen, Gopal Avinash
      Pages 65-74
    3. Tim J. Adler, Leonardo Ayala, Lynton Ardizzone, Hannes G. Kenngott, Anant Vemuri, Beat P. Müller-Stich et al.
      Pages 75-82
  4. CLIP 2019

    1. Front Matter
      Pages 83-83
    2. Aoi Shinjo, Atsushi Saito, Tetsuya Takakuwa, Shigehito Yamada, Hidekata Hontani, Hiroshi Matsuzoe et al.
      Pages 94-103
    3. Hirohisa Oda, Kohei Nishio, Takayuki Kitasaka, Benjamin Villard, Hizuru Amano, Kosuke Chiba et al.
      Pages 104-114
    4. Ayushi Sinha, Xingtong Liu, Masaru Ishii, Gregory D. Hager, Russell H. Taylor
      Pages 115-124
    5. Luise Middel, Christoph Palm, Marius Erdt
      Pages 125-134
    6. Shi Yin, Qinmu Peng, Hongming Li, Zhengqiang Zhang, Xinge You, Hangfan Liu et al.
      Pages 146-154
    7. Debora Gil, Antonio Esteban-Lansaque, Sebastian Stefaniga, Mihail Gaianu, Carles Sanchez
      Pages 155-162
    8. Baochang Zhang, Zonghan Wu, Shuting Liu, Shoujun Zhou, Na Li, Gang Zhao
      Pages 172-181
    9. Liyun Tu, Antonio R. Porras, Araceli Morales, Daniel A. Perez, Gemma Piella, Federico Sukno et al.
      Pages 182-189
  5. Back Matter
    Pages 191-192

About these proceedings

Introduction

This book constitutes the refereed proceedings of the First International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2019, and the 8th International Workshop on Clinical Image-Based Procedures, CLIP 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.

For UNSURE 2019, 8 papers from 15 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world.

CLIP 2019 accepted 11 papers from the 15 submissions received. The workshops provides a forum for work centred on specific clinical applications, including techniques and procedures based on comprehensive clinical image and other data. 

Keywords

artificial intelligence image processing image reconstruction image segmentation imaging systems medical images medical imaging neural networks

Editors and affiliations

  1. 1.Tel Aviv UniversityTel AvivIsrael
  2. 2.University College LondonLondonUK
  3. 3.Fraunhofer SingaporeNanyang Technological UniversitySingaporeSingapore
  4. 4.McGill UniversityMontrealCanada
  5. 5.ETH ZürichZürichSwitzerland
  6. 6.Massachusetts Institute of TechnologyHarvard Medical SchoolCambridgeUSA
  7. 7.University College LondonKing's College LondonLondonUK
  8. 8.Harvard Medical SchoolBostonUSA
  9. 9.Aachen University of Applied SciencesAachenGermany
  10. 10.Children’s National Healthcare SystemWashington, D.C.USA
  11. 11.Fraunhofer IGDDarmstadtGermany
  12. 12.Children's National Healthcare SystemWashington, D.C.USA
  13. 13.Fraunhofer IGDDarmstadtGermany
  14. 14.ICREA - Universitat Pompeu FabraBarcelonaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-32689-0
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-32688-3
  • Online ISBN 978-3-030-32689-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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