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
  4. Third International Workshop on Imaging Genetics, MICGen 2017

    1. Front Matter
      Pages 199-199
    2. Esther Alberts, Giles Tetteh, Stefano Trebeschi, Marie Bieth, Alexander Valentinitsch, Benedikt Wiestler et al.
      Pages 201-209
    3. Yuming Huang, Lei Du, Kefei Liu, Xiaohui Yao, Shannon L. Risacher, Lei Guo et al.
      Pages 210-219
    4. Kefei Liu, Xiaohui Yao, Jingwen Yan, Danai Chasioti, Shannon Risacher, Kwangsik Nho et al.
      Pages 220-229
    5. Pascal Lu, Olivier Colliot, the Alzheimer’s Disease Neuroimaging Initiative
      Pages 230-240
    6. Pascal Zille, Yu-Ping Wang
      Pages 241-248
  5. Back Matter
    Pages 249-250

About these proceedings


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.


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

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