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: Computational Methods and Clinical Applications for Spine Imaging
    sub title: 5th International Workshop and Challenge, CSI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers
  name:
    name part: Zheng, Guoyan.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Belavy, Daniel.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Cai, Yunliang.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Li, Shuo.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: gw
    date issued: 2019
    edition: 1st ed. 2019.
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: X, 181 p. 103 illus., 77 illus. in color. online resource.
  abstract: This book constitutes the refereed proceedings of the 5th International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2018, held in conjunction with MICCAI 2018, in Granada, Spain, in September 2018. The 8 full papers presented together with 8 short papers and 1 keynote were carefully reviewed and selected for inclusion in this volume. Papers on novel methodology and clinical research, and also papers which demonstrate the performance of methods on the provided challenges, the aim is to cover both theoretical and very practical aspects of computerized spinal imaging. .
  table of contents: Spinal Cord Gray Matter-White Matter Segmentation on Magnetic Resonance AMIRA Images with MD-GRU -- Predicting Scoliosis in DXA Scans Using Intermediate Representations -- Fast Registration of CT with Intra-operative Ultrasound Images for Spine Surgery -- Automated Grading of Modic Changes Using CNNs - Improving the Performance with Mix-up -- Error Estimation for Appearance Model Segmentation of Musculoskeletal Structures Using Multiple, Independent Sub-models -- Automated Segmentation of Intervertebral Disc using Fully Dilated Separable Deep Neural Networks -- Intensity Standardization of Skeleton in Follow-up Whole-Body MRI -- Towards a Deformable Multi-Surface Approach to Ligamentous Spine Models for Predictive Simulation-Based Scoliosis Surgery Planning -- Intervertebral Disc Segmentation Using Mathematical Morphology-A CNN-Free Approach.
  note: edited by Guoyan Zheng, Daniel Belavy, Yunliang Cai, Shuo Li.
  subject:
    topic: Optical data processing
  subject:
    topic: Health informatics
  subject:
    topic: Computer communication systems
  subject:
    topic: Artificial intelligence
  subject:
    topic: Computer hardware
  subject:
    topic: Image Processing and Computer Vision
  subject:
    topic: Health Informatics
  subject:
    topic: Computer Communication Networks
  subject:
    topic: Artificial Intelligence
  subject:
    topic: Computer Hardware
  classification: TA1630-1650
  classification: 006.6
  classification: 006.37
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11397
  identifier: 9783030137366
  identifier: https://doi.org/10.1007/978-3-030-13736-6
  record info:
    record creation date: 190313
    record change date: 20191024071752.0
    record identifier: 978-3-030-13736-6