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Spectral and Shape Analysis in Medical Imaging

First International Workshop, SeSAMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Revised Selected Papers

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Martin Reuter

    1. Harvard Medical School, Boston, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Christian Wachinger

    1. Ludwig-Maximilian University of Munich, Munich, Germany

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  3. Hervé Lombaert

    1. Inria Sophia Antipolis, Sophia Antipolis, France

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10126)

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

Included in the following conference series:

Conference proceedings info: SeSAMI 2016.

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Table of contents (10 papers)

  1. Front Matter

    Pages I-VIII
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  2. Spectral Methods

    1. Front Matter

      Pages 1-1
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    2. A Volumetric Conformal Mapping Approach for Clustering White Matter Fibers in the Brain

      • Vikash Gupta, Gautam Prasad, Paul Thompson
      Pages 3-14

    3. Deep Spectral-Based Shape Features for Alzheimer’s Disease Classification

      • Mahsa Shakeri, Herve Lombaert, Shashank Tripathi, Samuel Kadoury, for the Alzheimer’s Disease Neuroimaging Initiative
      Pages 15-24

    4. Functional Maps for Brain Classification on Spectral Domain

      • Simone Melzi, Alessandro Mella, Letizia Squarcina, Marcella Bellani, Cinzia Perlini, Mirella Ruggeri et al.
      Pages 25-36

  3. Longitudinal Methods

    1. Front Matter

      Pages 37-37
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    2. Volume Representation of Parenchymatous Organs by Volumetric Self-organizing Deformable Model

      • Shoko Miyauchi, Ken’ichi Morooka, Tokuo Tsuji, Yasushi Miyagi, Takaichi Fukuda, Ryo Kurazume
      Pages 39-50

    3. Reducing Variability in Anatomical Definitions Over Time Using Longitudinal Diffeomorphic Mapping

      • Daniel J. Tward, Chelsea S. Sicat, Timothy Brown, Arnold Bakker, Michael I. Miller
      Pages 51-62

    4. Spatio-Temporal Shape Analysis of Cross-Sectional Data for Detection of Early Changes in Neurodegenerative Disease

      • Claire Cury, Marco Lorenzi, David Cash, Jennifer M. Nicholas, Alexandre Routier, Jonathan Rohrer et al.
      Pages 63-75

  4. Shape Methods

    1. Front Matter

      Pages 77-77
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    2. Longitudinal Scoliotic Trunk Analysis via Spectral Representation and Statistical Analysis

      • Ola Ahmad, Herve Lombaert, Stefan Parent, Hubert Labelle, Jean Dansereau, Farida Cheriet
      Pages 79-91

    3. Statistical Shape Model with Random Walks for Inner Ear Segmentation

      • Esmeralda Ruiz Pujadas, Hans Martin Kjer, Gemma Piella, Miguel Angel González Ballester
      Pages 92-102

    4. Volumetric Image Pattern Recognition Using Three-Way Principal Component Analysis

      • Hayato Itoh, Atsushi Imiya, Tomoya Sakai
      Pages 103-117

    5. Shape Preservation Based on Gaussian Radial Basis Function Interpolation on Human Corpus Callosum

      • Umut Orcun Turgut, Didem Gokcay
      Pages 118-132

  5. Back Matter

    Pages 133-133
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Other volumes

  1. Spectral and Shape Analysis in Medical Imaging

Keywords

About this book

This book constitutes the refereed post-conference proceedings of the First International Workshop on Spectral and Shape Analysis in Medical Imaging, SeSAMI 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016.
The 10 submitted full papers presented in this volume were carefully reviewed.
The papers reflect the following topics: spectral methods; longitudinal methods; and shape methods.

Editors and Affiliations

  • Harvard Medical School, Boston, USA

    Martin Reuter

  • Ludwig-Maximilian University of Munich, Munich, Germany

    Christian Wachinger

  • Inria Sophia Antipolis, Sophia Antipolis, France

    Hervé Lombaert

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