Medical Image Computing and Computer Assisted Intervention − MICCAI 2017

1. Front Matter

   Pages I-XLVI

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2. Atlas and Surface-Based Techniques

   1. Front Matter

      Pages 1-1

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   2. The Active Atlas: Combining 3D Anatomical Models with Texture Detectors

      • Yuncong Chen, Lauren McElvain, Alex Tolpygo, Daniel Ferrante, Harvey Karten, Partha Mitra et al.

      Pages 3-11

   3. Exploring Gyral Patterns of Infant Cortical Folding Based on Multi-view Curvature Information

      • Dingna Duan, Shunren Xia, Yu Meng, Li Wang, Weili Lin, John H. Gilmore et al.

      Pages 12-20

   4. Holistic Mapping of Striatum Surfaces in the Laplace-Beltrami Embedding Space

      • Jin Kyu Gahm, Yonggang Shi

      Pages 21-30

   5. Novel Local Shape-Adaptive Gyrification Index with Application to Brain Development

      • Ilwoo Lyu, Sun Hyung Kim, Jessica Bullins, John H. Gilmore, Martin A. Styner

      Pages 31-39

   6. Joint Sparse and Low-Rank Regularized Multi-Task Multi-Linear Regression for Prediction of Infant Brain Development with Incomplete Data

      • Ehsan Adeli, Yu Meng, Gang Li, Weili Lin, Dinggang Shen

      Pages 40-48

   7. Graph-Constrained Sparse Construction of Longitudinal Diffusion-Weighted Infant Atlases

      • Jaeil Kim, Geng Chen, Weili Lin, Pew-Thian Yap, Dinggang Shen

      Pages 49-56

   8. 4D Infant Cortical Surface Atlas Construction Using Spherical Patch-Based Sparse Representation

      • Zhengwang Wu, Gang Li, Yu Meng, Li Wang, Weili Lin, Dinggang Shen

      Pages 57-65

   9. Developmental Patterns Based Individualized Parcellation of Infant Cortical Surface

      • Gang Li, Li Wang, Weili Lin, Dinggang Shen

      Pages 66-74

   10. Longitudinal Modeling of Multi-modal Image Contrast Reveals Patterns of Early Brain Growth

       • Avantika Vardhan, James Fishbaugh, Clement Vachet, Guido Gerig

       Pages 75-83

   11. Prediction of Brain Network Age and Factors of Delayed Maturation in Very Preterm Infants

       • Colin J. Brown, Kathleen P. Moriarty, Steven P. Miller, Brian G. Booth, Jill G. Zwicker, Ruth E. Grunau et al.

       Pages 84-91

   12. Falx Cerebri Segmentation via Multi-atlas Boundary Fusion

       • Jeffrey Glaister, Aaron Carass, Dzung L. Pham, John A. Butman, Jerry L. Prince

       Pages 92-99

   13. A 3D Femoral Head Coverage Metric for Enhanced Reliability in Diagnosing Hip Dysplasia

       • Niamul Quader, Antony J. Hodgson, Kishore Mulpuri, Anthony Cooper, Rafeef Abugharbieh

       Pages 100-107

   14. Learning-Based Multi-atlas Segmentation of the Lungs and Lobes in Proton MR Images

       • Hoileong Lee, Tahreema Matin, Fergus Gleeson, Vicente Grau

       Pages 108-115

   15. Unsupervised Discovery of Spatially-Informed Lung Texture Patterns for Pulmonary Emphysema: The MESA COPD Study

       • Jie Yang, Elsa D. Angelini, Pallavi P. Balte, Eric A. Hoffman, John H. M. Austin, Benjamin M. Smith et al.

       Pages 116-124

3. Shape and Patch-Based Techniques

   1. Front Matter

      Pages 125-125

      PDF

   2. Automatic Landmark Estimation for Adolescent Idiopathic Scoliosis Assessment Using BoostNet

      • Hongbo Wu, Chris Bailey, Parham Rasoulinejad, Shuo Li

      Pages 127-135

   3. Nonlinear Statistical Shape Modeling for Ankle Bone Segmentation Using a Novel Kernelized Robust PCA

      • Jingting Ma, Anqi Wang, Feng Lin, Stefan Wesarg, Marius Erdt

      Pages 136-143

   4. Adaptable Landmark Localisation: Applying Model Transfer Learning to a Shape Model Matching System

      • C. Lindner, D. Waring, B. Thiruvenkatachari, K. O’Brien, T. F. Cootes

      Pages 144-151

The three-volume set LNCS 10433, 10434, and 10435 constitutes the refereed proceedings of the 20th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2017, held inQuebec City, Canada, in September 2017.


The 255 revised full papers presented were carefully reviewed and selected from 800 submissions in a two-phase review process. The papers have been organized in the following topical sections: Part I: atlas and surface-based techniques; shape and patch-based techniques; registration techniques, functional imaging, connectivity, and brain parcellation; diffusion magnetic resonance imaging (dMRI) and tensor/fiber processing; and image segmentation and modelling. Part II: optical imaging; airway and vessel analysis; motion and cardiac analysis; tumor processing; planning and simulation for medical interventions; interventional imaging and navigation; and medical image computing. Part III: feature
extraction and classification techniques; and machine learning in medical image computing.

• artificial intelligence
• computer vision
• estimation
• face recognition
• image analysis
• image processing
• image quality
• image reconstruction
• image registration
• image segmentation
• learning algorithms
• machine learning
• medical images
• motion estimation
• neural networks
• probability
• reconstruction
• segmentation methods
• signal processing
• Support Vector Machines (SVM)

• Université de Sherbrooke, Sherbrooke, Canada

  Maxime Descoteaux

• DKFZ, Heidelberg, Germany

  Lena Maier-Hein

• Ulm University of Applied Sciences, Ulm, Germany

  Alfred Franz

• Université de Rennes 1, Rennes, France

  Pierre Jannin

• McGill University, Montreal, Canada

  D. Louis Collins

• Université Laval, Québec, Canada

  Simon Duchesne

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