© 2012

Visualization in Medicine and Life Sciences II

Progress and New Challenges

  • Lars Linsen
  • Hans Hagen
  • Bernd Hamann
  • Hans-Christian Hege
Conference proceedings

Part of the Mathematics and Visualization book series (MATHVISUAL)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Feature Extraction

    1. Front Matter
      Pages 1-1
    2. Leila De Floriani, Federico Iuricich, Paola Magillo, Mohammed Mostefa Mesmoudi, Kenneth Weiss
      Pages 3-25
    3. Vincent J. Dercksen, Marcel Oberlaender, Bert Sakmann, Hans-Christian Hege
      Pages 27-44
    4. Ben Donlon, Douglas Veale, Patrick Brennan, Robert Gibney, Hamish Carr, Louise Rainford et al.
      Pages 45-59
    5. Tadhg O’Sullivan, Patrick Brennan, Peter Doran, Paddy Mallon, Stephen J. Eustace, Eoin Kavannagh et al.
      Pages 61-68
  3. Classification

    1. Front Matter
      Pages 69-69
    2. Ahmed Elmoasry, Mohamed Sadek Maswadah, Lars Linsen
      Pages 71-89
    3. Aaron Knoll, Rolf Westerteiger, Hans Hagen
      Pages 91-106
  4. Volumes and Shapes

    1. Front Matter
      Pages 107-107
    2. Christoph Kubisch, Sylvia Glaßer, Mathias Neugebauer, Bernhard Preim
      Pages 109-132
    3. Eva Monclús, Pere-Pau Vázquez, Isabel Navazo
      Pages 133-151
  5. Tensor Visualization

    1. Front Matter
      Pages 171-171
    2. Alessandro Crippa, Andrei C. Jalba, Jos B. T. M. Roerdink
      Pages 173-190
    3. Sebastian Eichelbaum, Mario Hlawitschka, Bernd Hamann, Gerik Scheuermann
      Pages 191-208
    4. Mario Hlawitschka, Younis Hijazi, Aaron Knoll, Bernd Hamann
      Pages 209-225
  6. Visualizing Genes, Proteins, and Molecules

    1. Front Matter
      Pages 227-227
    2. Steffen Brasch, Georg Fuellen, Lars Linsen
      Pages 229-247
    3. Andreas Halm, Eva Eggeling, Dieter W. Fellner
      Pages 249-264

About these proceedings


For some time, medicine has been an important driver for the development of data processing and visualization techniques. Improved technology offers the capacity to generate larger and more complex data sets related to imaging and simulation. This, in turn, creates the need for more effective visualization tools for medical practitioners to interpret and utilize data in meaningful ways. The first edition of Visualization in Medicine and Life Sciences (VMLS) emerged from a workshop convened to explore the significant data visualization challenges created by emerging technologies in the life sciences. The workshop and the book addressed questions of whether medical data visualization approaches can be devised or improved to meet these challenges, with the promise of ultimately being adopted by medical experts. Visualization in Medicine and Life Sciences II follows the second international VMLS workshop, held in Bremerhaven, Germany, in July 2009. Internationally renowned experts from the visualization and driving application areas came together for this second workshop. The book presents peer-reviewed research and survey papers which document and discuss the progress made, explore new approaches to data visualization, and assess new challenges and research directions. The assembled papers span the frontiers of VMLS, examining these topics: * Feature Extraction * Classification * Volumes and Shapes * Tensor Visualization * Visualizing Genes, Proteins, and Molecules


information visualization medical visualization visualization in bioinformatics visualization in life sciences volume visualization

Editors and affiliations

  • Lars Linsen
    • 1
  • Hans Hagen
    • 2
  • Bernd Hamann
    • 3
  • Hans-Christian Hege
    • 4
  1. 1.Bremen School of Engineering and ScienceJacobs UniversityBremenGermany
  2. 2.FB InformatikUniversität KaiserslauternKaiserslauternGermany
  3. 3.Institute for Data Analysis and Visualization Department of Computer ScienceUniversity of California, DavisDavisUSA
  4. 4.Visualization and Data AnalysisZuse Institute Berlin (ZIB)BerlinGermany

Bibliographic information


From the reviews:

“The book is a collection of fifteen articles covering a broad range of topics related to visualization in medicine and life sciences. … The book in itself gives good references about state-of-the-art issues or software or methodologies, even though they are mostly European-centered. … It is worth reading this kind of review for researchers interested in broadening their understanding of the upcoming needs of visualization for life science or for graduate students to understand the new challenges at the crossroads of computer and life sciences.” (Nicolas Loménie, IAPR Newsletter, Vol. 35 (2), April, 2013)