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© 2017

Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics

First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings

  • M. Jorge Cardoso
  • Tal Arbel
  • Enzo Ferrante
  • Xavier Pennec
  • Adrian V. Dalca
  • Sarah Parisot
  • Sarang Joshi
  • Nematollah K. Batmanghelich
  • Aristeidis Sotiras
  • Mads Nielsen
  • Mert R. Sabuncu
  • Tom Fletcher
  • Li Shen
  • Stanley Durrleman
  • Stefan Sommer
Conference proceedings GRAIL 2017, MICGen 2017, MFCA 2017

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10551)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 10551)

Table of contents

  1. Front Matter
    Pages I-XV
  2. First International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2017

    1. Front Matter
      Pages 1-1
    2. Anvar Kurmukov, Marina Ananyeva, Yulia Dodonova, Boris Gutman, Joshua Faskowitz, Neda Jahanshad et al.
      Pages 3-11
    3. Amanmeet Garg, Donghuan Lu, Karteek Popuri, Mirza Faisal Beg
      Pages 21-30
    4. Jeremy Kawahara, Kathleen P. Moriarty, Ghassan Hamarneh
      Pages 31-41
    5. Markus Rempfler, Bjoern Andres, Bjoern H. Menze
      Pages 42-52
    6. Raghavendra Selvan, Jens Petersen, Jesper H. Pedersen, Marleen de Bruijne
      Pages 53-63
    7. Alexander Oliver Mader, Cristian Lorenz, Martin Bergtholdt, Jens  von  Berg, Hauke Schramm, Jan Modersitzki et al.
      Pages 64-75
  3. 6th International Workshop on Mathematical Foundations of Computational Anatomy, MFCA 2017

    1. Front Matter
      Pages 77-77
    2. Stefan Sommer, Alexis Arnaudon, Line Kuhnel, Sarang Joshi
      Pages 79-91
    3. Kuldeep Kumar, Pietro Gori, Benjamin Charlier, Stanley Durrleman, Olivier Colliot, Christian Desrosiers
      Pages 92-100
    4. Alexandre Bône, Maxime Louis, Alexandre Routier, Jorge Samper, Michael Bacci, Benjamin Charlier et al.
      Pages 101-113
    5. Baptiste Moreau, Benjamin Gilles, Erwan Jolivet, Philippe Petit, Gérard Subsol
      Pages 114-124
    6. Daniel Tward, Michael Miller, the Alzheimer’s Disease Neuroimaging Initiative
      Pages 125-136
    7. Daniel Robinson, Adam Duncan, Anuj Srivastava, Eric Klassen
      Pages 137-151
    8. Martin Bauer, Martins Bruveris, Nicolas Charon, Jakob Møller-Andersen
      Pages 152-163
    9. Line Kühnel, Stefan Sommer
      Pages 164-176
    10. Markus Foote, Pouya Sabouri, Amit Sawant, Sarang Joshi
      Pages 177-185

About these proceedings

Introduction

This book constitutes the refereed joint proceedings of the First International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2017, the 6th International Workshop on Mathematical Foundations of Computational Anatomy, MFCA 2017, and the Third International Workshop on Imaging Genetics, MICGen 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 7 full papers presented at GRAIL 2017, the 10 full papers presented at MFCA 2017, and the 5 full papers presented at MICGen 2017 were carefully reviewed and selected. The GRAIL papers cover a wide range of graph based medical image analysis methods and applications, including probabilistic graphical models, neuroimaging using graph representations, machine learning for diagnosis prediction, and shape modeling. The MFCA papers deal with theoretical developments in non-linear image and surface registration in the context of computational anatomy. The MICGen papers cover topics in the field of medical genetics, computational biology and medical imaging.

Keywords

artificial intelligence Bayesian networks classification cluster analysis clustering algorithms computer vision data mining face recognition feature selection geometry image analysis image processing image reconstruction learning systems medical images medical imaging neural networks pattern recognition signal processing

Editors and affiliations

  1. 1.University College LondonLondonUnited Kingdom
  2. 2.McGill UniversityMontrealCanada
  3. 3.Imperial College LondonLondonUnited Kingdom
  4. 4.Inria SophiaSophia-AntipolisFrance
  5. 5.Harvard Medical SchoolMassachusetts Institute of TechnologyBostonUSA
  6. 6.Imperial College LondonLondonUnited Kingdom
  7. 7.University of UtahSalt Lake CityUSA
  8. 8.University of PennsylvaniaPhiladelphiaUSA
  9. 9.University of PennsylvaniaPhiladelphiaUSA
  10. 10.University of CopenhagenCopenhagenDenmark
  11. 11.Cornell UniversityIthacaUSA
  12. 12.University of UtahSalt Lake CityUSA
  13. 13.University of IndianaIndianapolisUSA
  14. 14.Brain and Spine InstituteInriaParisFrance
  15. 15.University of CopenhagenCopenhagenDenmark

Bibliographic information

  • Book Title Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics
  • Book Subtitle First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017, Proceedings
  • Editors M. Jorge Cardoso
    Tal Arbel
    Enzo Ferrante
    Xavier Pennec
    Adrian V. Dalca
    Sarah Parisot
    Sarang Joshi
    Nematollah K. Batmanghelich
    Aristeidis Sotiras
    Mads Nielsen
    Mert R. Sabuncu
    Tom Fletcher
    Li Shen
    Stanley Durrleman
    Stefan Sommer
  • Series Title Lecture Notes in Computer Science
  • Series Abbreviated Title Lect.Notes Computer
  • DOI https://doi.org/10.1007/978-3-319-67675-3
  • Copyright Information Springer International Publishing AG 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science Computer Science (R0)
  • Softcover ISBN 978-3-319-67674-6
  • eBook ISBN 978-3-319-67675-3
  • Series ISSN 0302-9743
  • Series E-ISSN 1611-3349
  • Edition Number 1
  • Number of Pages XV, 250
  • Number of Illustrations 83 b/w illustrations, 0 illustrations in colour
  • Topics Image Processing and Computer Vision
    Pattern Recognition
    Artificial Intelligence
    Health Informatics
    Data Mining and Knowledge Discovery
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