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Computer Vision Approaches to Medical Image Analysis

Second International ECCV Workshop, CVAMIA 2006 Graz, Austria, May 12, 2006 Revised Papers

  • Reinhard R. Beichel
  • Milan Sonka
Conference proceedings CVAMIA 2006

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4241)

Table of contents

  1. Front Matter
  2. Clinical Applications

    1. Tatiana Tommasi, Elisabetta La Torre, Barbara Caputo
      Pages 1-12
    2. Michael Sass Hansen, Fei Zhao, Honghai Zhang, Nicholas E. Walker, Andreas Wahle, Thomas Scholz et al.
      Pages 13-24
    3. Anant Madabhushi, Jianbo Shi, Michael Feldman, Mark Rosen, John Tomaszewski
      Pages 25-36
    4. Nhon H. Trinh, Jonathan Lester, Braden C. Fleming, Glenn Tung, Benjamin B. Kimia
      Pages 37-48
  3. Image Registration

    1. D. Rueckert, R. Chandrashekara, P. Aljabar, K. K. Bhatia, J. P. Boardman, L. Srinivasan et al.
      Pages 49-60
    2. Martin Urschler, Joachim Bauer, Hendrik Ditt, Horst Bischof
      Pages 73-84
    3. Ignacio Arganda-Carreras, Carlos O. S. Sorzano, Roberto Marabini, José María Carazo, Carlos Ortiz-de-Solorzano, Jan Kybic
      Pages 85-95
  4. Image Segmentation and Analysis

    1. Yogesh Rathi, Samuel Dambreville, Allen Tannenbaum
      Pages 96-107
    2. Evgeny Krestyannikov, Jussi Tohka, Ulla Ruotsalainen
      Pages 108-119
    3. Ayman El-Baz, Aly Farag, Asem Ali, Georgy Gimel’farb, Manuel Casanova
      Pages 120-131
  5. Poster Session

    1. Yinghua Lu, Jianzhong Wang, Jun Kong, Baoxue Zhang, Jingdan Zhang
      Pages 132-142
    2. Eli Appleboim, Emil Saucan, Yehoshua Y. Zeevi
      Pages 155-165
    3. M. Loog, B. van Ginneken
      Pages 166-177
    4. Horst K. Hahn, Markus T. Wenzel, Olaf Konrad-Verse, Heinz-Otto Peitgen
      Pages 178-189
    5. S. Urban, S. M. O’Malley, B. Walsh, A. Santamaría-Pang, P. Saggau, C. Colbert et al.
      Pages 190-201
    6. Peter Michael Goebel, Ahmed Nabil Belbachir, Michael Truppe
      Pages 214-224
    7. Sébastien Martin, Vincent Daanen, Olivier Chavanon, Jocelyne Troccaz
      Pages 225-235
    8. Runa Parveen, Cliff Ruff, Andrew Todd-Pokropek
      Pages 236-247
    9. Michael Baumann, Vincent Daanen, Antoine Leroy, Jocelyne Troccaz
      Pages 248-259
  6. Back Matter

About these proceedings

Introduction

Medical imaging and medical image analysis are developing rapidly. While m- ical imaging has already become a standard of modern medical care, medical image analysis is still mostly performed visually and qualitatively. The ev- increasing volume of acquired data makes it impossible to utilize them in full. Equally important, the visual approaches to medical image analysis are known to su?er from a lack of reproducibility. A signi?cant researche?ort is devoted to developing algorithms for processing the wealth of data available and extracting the relevant information in a computerized and quantitative fashion. Medical imaging and image analysis are interdisciplinary areas combining electrical, computer, and biomedical engineering; computer science; mathem- ics; physics; statistics; biology; medicine; and other ?elds. Medical imaging and computer vision, interestingly enough, have developed and continue developing somewhat independently. Nevertheless, bringing them together promises to b- e?t both of these ?elds. This was the second time that a satellite workshop,solely devoted to medical image analysis issues, was held in conjunction with the European Conference on Computer Vision (ECCV), and we are optimistic that this will become a tradition at ECCV. We received 38 full-length paper submissions to the second Computer Vision Approaches to Medical Image Analysis (CVAMIA) Workshop, out of which 10 were accepted for oral and 11 for poster presentation after a rigorous peer-review process. In addition, the workshop included three invited talks. The ?rst was given by Maryellen Giger from the University of Chicago, USA — titled “Multi-Modality Breast CADx”.

Keywords

3D imaging Bayesian networks Computer Vision Ensembl Image segmentation Scale-invariant feature transform classification computed tomography (CT) image analysis image registration kernel methods object recognition pattern recognition segmentation therapy

Editors and affiliations

  • Reinhard R. Beichel
    • 1
  • Milan Sonka
    • 2
  1. 1.Dept. of Electrical & Computer Engineering and Dept. of Internal MedicineThe University of IowaUSA
  2. 2.Department of Electrical and Computer EngineeringUniversity of IowaIowa CityUSA

Bibliographic information

  • DOI https://doi.org/10.1007/11889762
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-46257-6
  • Online ISBN 978-3-540-46258-3
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site