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  • Conference proceedings
  • © 2017

Information Processing in Medical Imaging

25th International Conference, IPMI 2017, Boone, NC, USA, June 25-30, 2017, Proceedings

Editors:

  1. Marc Niethammer

    1. University of North Carolina, Chapel Hill, USA

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  2. Martin Styner

    1. University of North Carolina, Chapel Hill, USA

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  3. Stephen Aylward

    1. Kitware Inc., Carrboro, USA

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  4. Hongtu Zhu

    1. University of North Carolina, Chapel Hill, USA

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  5. Ipek Oguz

    1. University of Pennsylvania, Philadelphia, USA

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  6. Pew-Thian Yap

    1. University of North Carolina, Chapel Hill, USA

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  7. Dinggang Shen

    1. University of North Carolina, Chapel Hill, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10265)

Part of the book sub series: Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP)

Conference series link(s): IPMI: International Conference on Information Processing in Medical Imaging

Conference proceedings info: IPMI 2017.

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Table of contents (53 papers)

  1. Front Matter

    Pages I-XVI
    PDF

  2. Analysis on Manifolds

    1. Front Matter

      Pages 1-1
      PDF

    3. Inconsistency of Template Estimation with the Fréchet Mean in Quotient Space

      • Loïc Devilliers, Xavier Pennec, Stéphanie Allassonnière
      Pages 16-27

    4. Kernel Methods for Riemannian Analysis of Robust Descriptors of the Cerebral Cortex

      • Suyash P. Awate, Richard M. Leahy, Anand A. Joshi
      Pages 28-40

    5. Conditional Local Distance Correlation for Manifold-Valued Data

      • Wenliang Pan, Xueqin Wang, Canhong Wen, Martin Styner, Hongtu Zhu
      Pages 41-52

    6. Stochastic Development Regression on Non-linear Manifolds

      • Line Kühnel, Stefan Sommer
      Pages 53-64

  3. Shape Analysis

    1. Front Matter

      Pages 65-65
      PDF

    2. Spectral Kernels for Probabilistic Analysis and Clustering of Shapes

      • Loic Le Folgoc, Aditya V. Nori, Antonio Criminisi
      Pages 67-79

    3. Optimal Topological Cycles and Their Application in Cardiac Trabeculae Restoration

      • Pengxiang Wu, Chao Chen, Yusu Wang, Shaoting Zhang, Changhe Yuan, Zhen Qian et al.
      Pages 80-92

    5. Constructing Shape Spaces from a Topological Perspective

      • Christoph Hofer, Roland Kwitt, Marc Niethammer, Yvonne Höller, Eugen Trinka, Andreas Uhl et al.
      Pages 106-118

  4. Disease Diagnosis/Progression

    1. Front Matter

      Pages 119-119
      PDF

    2. A Discriminative Event Based Model for Alzheimer’s Disease Progression Modeling

      • Vikram Venkatraghavan, Esther E. Bron, Wiro J. Niessen, Stefan Klein
      Pages 121-133

    3. A Vertex Clustering Model for Disease Progression: Application to Cortical Thickness Images

      • Răzvan Valentin Marinescu, Arman Eshaghi, Marco Lorenzi, Alexandra L. Young, Neil P. Oxtoby, Sara Garbarino et al.
      Pages 134-145

    4. Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery

      • Thomas Schlegl, Philipp Seeböck, Sebastian M. Waldstein, Ursula Schmidt-Erfurth, Georg Langs
      Pages 146-157

    5. A Novel Dynamic Hyper-graph Inference Framework for Computer Assisted Diagnosis of Neuro-Diseases

      • Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Daniel Kaufer, Guorong Wu
      Pages 158-169

    6. A Likelihood-Free Approach for Characterizing Heterogeneous Diseases in Large-Scale Studies

      • Jenna Schabdach, William M. Wells III, Michael Cho, Kayhan N. Batmanghelich
      Pages 170-183

    7. Multi-source Multi-target Dictionary Learning for Prediction of Cognitive Decline

      • Jie Zhang, Qingyang Li, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang
      Pages 184-197

    8. Predicting Interrelated Alzheimer’s Disease Outcomes via New Self-learned Structured Low-Rank Model

      • Xiaoqian Wang, Kefei Liu, Jingwen Yan, Shannon L. Risacher, Andrew J. Saykin, Li Shen et al.
      Pages 198-209
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Other Volumes

  1. Information Processing in Medical Imaging

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About this book

This book constitutes the proceedings of the 25th International Conference on Information Processing in Medical Imaging, IPMI 2017, held at the Appalachian State University, Boon, NC, USA, in June 2017.

The 53 full papers presented in this volume were carefully reviewed and selected from 147 submissions. They were organized in topical sections named: analysis on manifolds; shape analysis; disease diagnosis/progression; brain networks an connectivity; diffusion imaging; quantitative imaging; imaging genomics; image registration; segmentation; general image analysis.

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Keywords

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Editors and Affiliations

  • University of North Carolina, Chapel Hill, USA

    Marc Niethammer, Martin Styner, Hongtu Zhu, Pew-Thian Yap, Dinggang Shen

  • Kitware Inc., Carrboro, USA

    Stephen Aylward

  • University of Pennsylvania, Philadelphia, USA

    Ipek Oguz

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Bibliographic Information

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Access via your institution

Buy it now

eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

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