Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics

1. Front Matter

   Pages I-XV

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2. First International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2017

   1. Front Matter

      Pages 1-1

      PDF

   2. Classifying Phenotypes Based on the Community Structure of Human Brain Networks

      • Anvar Kurmukov, Marina Ananyeva, Yulia Dodonova, Boris Gutman, Joshua Faskowitz, Neda Jahanshad et al.

      Pages 3-11

   3. Autism Spectrum Disorder Diagnosis Using Sparse Graph Embedding of Morphological Brain Networks

      • Carrie Morris, Islem Rekik

      Pages 12-20

   4. Topology of Surface Displacement Shape Feature in Subcortical Structures

      • Amanmeet Garg, Donghuan Lu, Karteek Popuri, Mirza Faisal Beg

      Pages 21-30

   5. Graph Geodesics to Find Progressively Similar Skin Lesion Images

      • Jeremy Kawahara, Kathleen P. Moriarty, Ghassan Hamarneh

      Pages 31-41

   6. Uncertainty Estimation in Vascular Networks

      • Markus Rempfler, Bjoern Andres, Bjoern H. Menze

      Pages 42-52

   7. Extraction of Airways with Probabilistic State-Space Models and Bayesian Smoothing

      • Raghavendra Selvan, Jens Petersen, Jesper H. Pedersen, Marleen de Bruijne

      Pages 53-63

   8. Detection and Localization of Landmarks in the Lower Extremities Using an Automatically Learned Conditional Random Field

      • 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

      PDF

   2. Bridge Simulation and Metric Estimation on Landmark Manifolds

      • Stefan Sommer, Alexis Arnaudon, Line Kuhnel, Sarang Joshi

      Pages 79-91

   3. White Matter Fiber Segmentation Using Functional Varifolds

      • Kuldeep Kumar, Pietro Gori, Benjamin Charlier, Stanley Durrleman, Olivier Colliot, Christian Desrosiers

      Pages 92-100

   4. Prediction of the Progression of Subcortical Brain Structures in Alzheimer’s Disease from Baseline

      • Alexandre Bône, Maxime Louis, Alexandre Routier, Jorge Samper, Michael Bacci, Benjamin Charlier et al.

      Pages 101-113

   5. A New Metric for Statistical Analysis of Rigid Transformations: Application to the Rib Cage

      • Baptiste Moreau, Benjamin Gilles, Erwan Jolivet, Philippe Petit, Gérard Subsol

      Pages 114-124

   6. Unbiased Diffeomorphic Mapping of Longitudinal Data with Simultaneous Subject Specific Template Estimation

      • Daniel Tward, Michael Miller, the Alzheimer’s Disease Neuroimaging Initiative

      Pages 125-136

   7. Exact Function Alignment Under Elastic Riemannian Metric

      • Daniel Robinson, Adam Duncan, Anuj Srivastava, Eric Klassen

      Pages 137-151

   8. Varifold-Based Matching of Curves via Sobolev-Type Riemannian Metrics

      • Martin Bauer, Martins Bruveris, Nicolas Charon, Jakob Møller-Andersen

      Pages 152-163

   9. Computational Anatomy in Theano

      • Line Kühnel, Stefan Sommer

      Pages 164-176

   10. Rank Constrained Diffeomorphic Density Motion Estimation for Respiratory Correlated Computed Tomography

       • Markus Foote, Pouya Sabouri, Amit Sawant, Sarang Joshi

       Pages 177-185

   11. Efficient Parallel Transport in the Group of Diffeomorphisms via Reduction to the Lie Algebra

       • Kristen M. Campbell, P. Thomas Fletcher

       Pages 186-198

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

• University College London, London, United Kingdom

  M. Jorge Cardoso

• McGill University, Montreal, Canada

  Tal Arbel

• Imperial College London, London, United Kingdom

  Enzo Ferrante, Sarah Parisot

• Inria Sophia, Sophia-Antipolis, France

  Xavier Pennec

• Harvard Medical School, Massachusetts Institute of Technology, Boston, USA

  Adrian V. Dalca

• University of Utah, Salt Lake City, USA

  Sarang Joshi, Tom Fletcher

• University of Pennsylvania, Philadelphia, USA

  Nematollah K. Batmanghelich, Aristeidis Sotiras

• University of Copenhagen, Copenhagen, Denmark

  Mads Nielsen, Stefan Sommer

• Cornell University, Ithaca, USA

  Mert R. Sabuncu

• University of Indiana, Indianapolis, USA

  Li Shen

• Brain and Spine Institute, Inria, Paris, France

  Stanley Durrleman

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