© 2013

Medical Content-Based Retrieval for Clinical Decision Support

Third MICCAI International Workshop, MCBR-CDS 2012, Nice, France, October 1, 2012, Revised Selected Papers

  • Hayit Greenspan
  • Henning Müller
  • Tanveer Syeda-Mahmood
Conference proceedings MCBR-CDS 2012

Part of the Lecture Notes in Computer Science book series (LNCS, volume 7723)

Table of contents

  1. Front Matter
  2. Workshop Overview

  3. Invited Talk

    1. Gwénolé Quellec, Mathieu Lamard, Zakarya Droueche, Béatrice Cochener, Christian Roux, Guy Cazuguel
      Pages 10-20
  4. Methods

    1. Chiara Eva Catalano, Francesco Robbiano, Patrizia Parascandolo, Lorenzo Cesario, Loris Vosilla, Francesca Barbieri et al.
      Pages 21-32
    2. Shulin Yang, Linda Shapiro, Michael Cunningham, Matthew Speltz, Craig Birgfeld, Indriyati Atmosukarto et al.
      Pages 33-44
  5. 3D/4D Data Retrieval

    1. Antonio Foncubierta–Rodríguez, Alejandro Vargas, Alexandra Platon, Pierre–Alexandre Poletti, Henning Müller, Adrien Depeursinge
      Pages 45-55
    2. Karen Simonyan, Marc Modat, Sebastien Ourselin, David Cash, Antonio Criminisi, Andrew Zisserman
      Pages 56-67
    3. Auréline Quatrehomme, Ingrid Millet, Denis Hoa, Gérard Subsol, William Puech
      Pages 80-91
  6. Invited Talk

    1. Georg Langs, Allan Hanbury, Bjoern Menze, Henning Müller
      Pages 92-98
  7. Visual Features

    1. Sebastian Hegenbart, Stefan Maimone, Andreas Uhl, Andreas Vécsei, Georg Wimmer
      Pages 99-109
    2. Alba García Seco de Herrera, Dimitrios Markonis, Henning Müller
      Pages 110-121
  8. Multimodal Retrieval

    1. Spyridon Stathopoulos, Theodore Kalamboukis
      Pages 122-132
    2. Angel Castellanos, Xaro Benavent, Ana García-Serrano, J. Cigarrán
      Pages 133-144
  9. Back Matter

About these proceedings


This book constitutes the refereed proceedings of the Third MICCAI Workshop on Medical Content-Based Retrieval for Clinical Decision Support, MCBR-CBS 2012, held in Nice, France, in October 2012.
The 10 revised full papers presented together with 2 invited talks were carefully reviewed and selected from 15 submissions. The papers are divided on several topics on image analysis of visual or multimodal medical data (X-ray, MRI, CT, echo videos, time series data), machine learning of disease correlations in visual or multimodal data, algorithms for indexing and retrieval of data from visual or multimodal medical databases, disease model-building and clinical decision support systems based on visual or multimodal analysis, algorithms for medical image retrieval or classification, systems of retrieval or classification using the ImageCLEF collection.


3D retrieval computer-aided diagnosis multimodality spatiotemporal polynomials visual search

Editors and affiliations

  • Hayit Greenspan
    • 1
  • Henning Müller
    • 2
  • Tanveer Syeda-Mahmood
    • 3
  1. 1.The Iby and Aladar Fleischmann Faculty of EngineeringTel Aviv UniversityIsrael
  2. 2.Business Information SystemsUniversity of Applied Sciences Western Switzerland (HES-SO)SierreSwitzerland
  3. 3.Multi-modal Mining for HealthcareIBM Almaden Research CenterSan JoseUSA

Bibliographic information