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Medical Content-Based Retrieval for Clinical Decision Support

First MICCAI International Workshop, MCBR-CBS 2009, London, UK, September 20, 2009. Revised Selected Papers

  • Conference proceedings
  • © 2010

Overview

Editors:
  1. Barbara Caputo

    1. IDIAP Research Institute, Centre Du Parc, Martigny, Switzerland

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  2. Henning Müller

    1. Business Information Systems, University of Applied Sciences, Sierre, Switzerland

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  3. Tanveer Syeda-Mahmood

    1. IBM Almaden Research Center, San Jose, USA

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  4. James S. Duncan

    1. Department of Biomedical Engineering, Diagnostic Radiology, and Electrical Engineering,, Yale University, New Haven, USA

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  5. Fei Wang

    1. Multi-modal Mining for Healthcare, IBM Almaden REsearch Center, San Jose, USA

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  6. Jayashree Kalpathy-Cramer

    1. Department of Medical Informatics and Clinical Epidemiology (DMICE), Oregon Health and Science University, Portland, USA

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Part of the book series: Lecture Notes in Computer Science (LNCS, volume 5853)

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

Included in the following conference series:

Conference proceedings info: MCBR-CDS 2009.

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Table of contents (11 papers)

  1. Front Matter

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  2. Medical Image Retrieval

    1. Overview of the First Workshop on Medical Content–Based Retrieval for Clinical Decision Support at MICCAI 2009

      • Henning Müller, Jayashree Kalpathy–Cramer, Barbara Caputo, Tanveer Syeda-Mahmood, Fei Wang
      Pages 1-17

    2. Introducing Space and Time in Local Feature-Based Endomicroscopic Image Retrieval

      • Barbara André, Tom Vercauteren, Aymeric Perchant, Anna M. Buchner, Michael B. Wallace, Nicholas Ayache
      Pages 18-30

    3. A Query-by-Example Content-Based Image Retrieval System of Non-melanoma Skin Lesions

      • Lucia Ballerini, Xiang Li, Robert B. Fisher, Jonathan Rees
      Pages 31-38

    4. 3D Case–Based Retrieval for Interstitial Lung Diseases

      • Adrien Depeursinge, Alejandro Vargas, Alexandra Platon, Antoine Geissbuhler, Pierre–Alexandre Poletti, Henning Müller
      Pages 39-48

    5. Image Retrieval for Alzheimer’s Disease Detection

      • Mayank Agarwal, Javed Mostafa
      Pages 49-60

  3. Clinical Decision Making

    1. Statistical Analysis of Gait Data to Assist Clinical Decision Making

      • Nigar Şen Köktaş, Robert P. W. Duin
      Pages 61-68

    2. Using BI-RADS Descriptors and Ensemble Learning for Classifying Masses in Mammograms

      • Yu Zhang, Noriko Tomuro, Jacob Furst, Daniela Stan Raicu
      Pages 69-76

    3. Robust Learning-Based Annotation of Medical Radiographs

      • Yimo Tao, Zhigang Peng, Bing Jian, Jianhua Xuan, Arun Krishnan, Xiang Sean Zhou
      Pages 77-88

  4. Multimodal Fusion

    1. Knowledge-Based Discrimination in Alzheimer’s Disease

      • Simon Duchesne, Burt Crépeault, Carol Hudon
      Pages 89-96

    2. Automatic Annotation of X-Ray Images: A Study on Attribute Selection

      • Devrim Unay, Octavian Soldea, Ahmet Ekin, Mujdat Cetin, Aytul Ercil
      Pages 97-109

    3. Multi-modal Query Expansion Based on Local Analysis for Medical Image Retrieval

      • Md. Mahmudur Rahman, Sameer K. Antani, Rodney L. Long, Dina Demner-Fushman, George R. Thoma
      Pages 110-119

  5. Back Matter

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Other volumes

  1. Medical Content-Based Retrieval for Clinical Decision Support

Editors and Affiliations

  • IDIAP Research Institute, Centre Du Parc, Martigny, Switzerland

    Barbara Caputo

  • Business Information Systems, University of Applied Sciences, Sierre, Switzerland

    Henning Müller

  • IBM Almaden Research Center, San Jose, USA

    Tanveer Syeda-Mahmood

  • Department of Biomedical Engineering, Diagnostic Radiology, and Electrical Engineering,, Yale University, New Haven, USA

    James S. Duncan

  • Multi-modal Mining for Healthcare, IBM Almaden REsearch Center, San Jose, USA

    Fei Wang

  • Department of Medical Informatics and Clinical Epidemiology (DMICE), Oregon Health and Science University, Portland, USA

    Jayashree Kalpathy-Cramer

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