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Information Processing in Medical Imaging

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

  • Conference proceedings
  • © 2017

Overview

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)

Included in the following conference series:

Conference proceedings info: IPMI 2017.

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Table of contents (53 papers)

  1. Disease Diagnosis/Progression

    1. Weakly-Supervised Evidence Pinpointing and Description

      • Qiang Zhang, Abhir Bhalerao, Charles Hutchinson
      Pages 210-222

    2. Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models

      • Jwala Dhamala, John L. Sapp, Milan Horacek, Linwei Wang
      Pages 223-235

    3. Cancer Metastasis Detection via Spatially Structured Deep Network

      • Bin Kong, Xin Wang, Zhongyu Li, Qi Song, Shaoting Zhang
      Pages 236-248

    4. Risk Stratification of Lung Nodules Using 3D CNN-Based Multi-task Learning

      • Sarfaraz Hussein, Kunlin Cao, Qi Song, Ulas Bagci
      Pages 249-260

  2. Brain Networks and Connectivity

    1. Front Matter

      Pages 261-261
      Download chapter PDF

    2. Topographic Regularity for Tract Filtering in Brain Connectivity

      • Junyan Wang, Dogu Baran Aydogan, Rohit Varma, Arthur W. Toga, Yonggang Shi
      Pages 263-274

    3. Riccati-Regularized Precision Matrices for Neuroimaging

      • Nicolas Honnorat, Christos Davatzikos
      Pages 275-286

    4. Multimodal Brain Subnetwork Extraction Using Provincial Hub Guided Random Walks

      • Chendi Wang, Bernard Ng, Rafeef Abugharbieh
      Pages 287-298

    5. Exact Topological Inference for Paired Brain Networks via Persistent Homology

      • Moo K. Chung, Victoria Villalta-Gil, Hyekyoung Lee, Paul J. Rathouz, Benjamin B. Lahey, David H. Zald
      Pages 299-310

    6. Multivariate Manifold Modelling of Functional Connectivity in Developing Language Networks

      • Ernst Schwartz, Karl-Heinz Nenning, Gregor Kasprian, Anna-Lisa Schuller, Lisa Bartha-Doering, Georg Langs
      Pages 311-322

    7. Hierarchical Region-Network Sparsity for High-Dimensional Inference in Brain Imaging

      • Danilo Bzdok, Michael Eickenberg, Gaël Varoquaux, Bertrand Thirion
      Pages 323-335

    8. A Restaurant Process Mixture Model for Connectivity Based Parcellation of the Cortex

      • Daniel Moyer, Boris A. Gutman, Neda Jahanshad, Paul M. Thompson
      Pages 336-347

    9. On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task

      • Wenqi Li, Guotai Wang, Lucas Fidon, Sebastien Ourselin, M. Jorge Cardoso, Tom Vercauteren
      Pages 348-360

    10. Discovering Change-Point Patterns in Dynamic Functional Brain Connectivity of a Population

      • Mengyu Dai, Zhengwu Zhang, Anuj Srivastava
      Pages 361-372

    11. Extracting the Groupwise Core Structural Connectivity Network: Bridging Statistical and Graph-Theoretical Approaches

      • Nahuel Lascano, Guillermo Gallardo-Diez, Rachid Deriche, Dorian Mazauric, Demian Wassermann
      Pages 373-384

    12. Estimation of Brain Network Atlases Using Diffusive-Shrinking Graphs: Application to Developing Brains

      • Islem Rekik, Gang Li, Weili Lin, Dinggang Shen
      Pages 385-397

    13. A Tensor Statistical Model for Quantifying Dynamic Functional Connectivity

      • Yingying Zhu, Xiaofeng Zhu, Minjeong Kim, Jin Yan, Guorong Wu
      Pages 398-410

    14. Modeling Task fMRI Data via Deep Convolutional Autoencoder

      • Heng Huang, Xintao Hu, Milad Makkie, Qinglin Dong, Yu Zhao, Junwei Han et al.
      Pages 411-424

  3. Diffusion Imaging

    1. Front Matter

      Pages 425-425
      Download chapter PDF

    2. Director Field Analysis to Explore Local White Matter Geometric Structure in Diffusion MRI

      • Jian Cheng, Peter J. Basser
      Pages 427-439
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  1. Information Processing in Medical Imaging

Keywords

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.

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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