rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data
    sub title: Second International Workshop, STIA 2012, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012. Proceedings
  name:
    name part: Durrleman, Stanley.
    role:
      role term: editor.
  name:
    name part: Fletcher, Tom.
    role:
      role term: editor.
  name:
    name part: Gerig, Guido.
    role:
      role term: editor.
  name:
    name part: Niethammer, Marc.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2012
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 163 p. 73 illus. online resource.
  abstract: This book constitutes the refereed proceedings of the Second International Workshop on Spatio-temporal Image Analysis for Longitudinal and Time-Series Image Data, STIA 2012, held in conjunction with MICCAI 2012 in Nice, France, in October 2012. The 13 papers presented in this volume were carefully reviewed and selected from 22 submissions. They are organized in topical sections named: longitudinal registration and transport; spatio-temporal analysis for shapes; spatio-temporal analysis under appearance changes; and spatio-temporal analysis for biology.
  table of contents: Spatio-temporal Regularization for Longitudinal Registration to an Unbiased 3D Individual Template -- Local vs Global Descriptors of Hippocampus Shape Evolution for Alzheimer’s Longitudinal Population Analysis -- Which Reorientation Framework for the Atlas-Based Comparison of Motion from Cardiac Image Sequences? -- Elastic Demons: Characterizing Cortical Development in Neonates Using an Implicit Surface Registration -- A New Framework for Analyzing Structural Volume Changes of Longitudinal Brain MRI Data -- 4D Segmentation of Longitudinal Brain MR Images with Consistent Cortical Thickness Measurement -- Mixed-Effects Shape Models for Estimating Longitudinal Changes in Anatomy -- Unsupervised Learning of Shape Complexity: Application to Brain Development -- Spatio-temporal Analysis under Appearance Changes Spatial-temporal Pharmacokinetic Model Based Registration of 4D Brain PET Data -- Predicting the Location of Glioma Recurrence after a Resection Surgery -- Tracking Metastatic Brain Tumors in Longitudinal Scans via Joint Image Registration and Labeling -- Spatio-temporal Analysis for Biology Motion-Based Segmentation for Cardiomyocyte Characterization -- Multi-temporal Globally-Optimal Dense 3-D Cell Segmentation and Tracking from Multi-photon Time-lapse Movies of Live Tissue Microenvironments.
  note: edited by Stanley Durrleman, Tom Fletcher, Guido Gerig, Marc Niethammer.
  subject:
    topic: Computer science
  subject:
    topic: Radiology
  subject:
    topic: Algorithms
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer graphics
  subject:
    topic: Image processing
  subject:
    topic: Pattern recognition
  subject:
    topic: Computer Science
  subject:
    topic: Image Processing and Computer Vision
  subject:
    topic: Pattern Recognition
  subject:
    topic: Artificial Intelligence (incl. Robotics)
  subject:
    topic: Computer Graphics
  subject:
    topic: Algorithm Analysis and Problem Complexity
  subject:
    topic: Imaging / Radiology
  classification: TA1637-1638
  classification: TA1634
  classification: 006.6
  classification: 006.37
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Lecture Notes in Computer Science, 7570
  identifier: 9783642335556
  identifier: http://dx.doi.org/10.1007/978-3-642-33555-6
  record info:
    record creation date: 120918
    record change date: 20151204183629.0
    record identifier: 978-3-642-33555-6