Advances in Computational Vision and Medical Image Processing Methods and Applications / edited by Joao Tavares, R. M. Natal Jorge.

The present book contains extended versions of papers presented in the international Conference VIPIMAGE 2007 – ECCOMAS Thematic Conference on Computational Vision and Medical Image, held in Faculdade de Engenharia da Universidade do Porto, in 17-19 of October 2007. This conference was the first ECC...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Tavares, Joao (Editor), Jorge, R. M. Natal (Editor)
Format: eBook
Language:English
Published: Dordrecht : Springer Netherlands : Imprint: Springer, 2009.
Edition:1st ed. 2009.
Series:Computational Methods in Applied Sciences, 13
Springer eBook Collection.
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Online Access:Click to view e-book
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Table of Contents:
  • Modeling Cardiovascular Anatomy from Patient-Specific Imaging
  • Geodesic Methods for Shape and Surface Processing
  • Robust Shape Estimation with Deformable Models
  • Digital Geometry and Its Applications to Medical Imaging
  • Multimodality in Brain Imaging: Methodologic Aspects and Applications
  • Research Steps Towards Human Sequence Evaluation
  • 3D Object Reconstruction from Uncalibrated Images Using an Off-the-Shelf Camera
  • Edge-Images Using a Uninorm-Based Fuzzy Mathematical Morphology: Opening and Closing
  • A Tissue Relevance and Meshing Method for Computing Patient-Specific Anatomical Models in Endoscopic Sinus Surgery Simulation
  • A Robust Eye Tracking Procedure for Medical and Industrial Applications
  • 3D Reconstruction of the Retinal Arterial Tree Using Subject-Specific Fundus Images
  • Microscale Flow Dynamics of Red Blood Cells in Microchannels: An Experimental and Numerical Analysis
  • Efficiency of Spherical Filters on Detection of Isotropic Defects in Textured Backgrounds
  • Spontaneous Intracerebral Hemorrhage Image Analysis Methods: A Survey
  • Fluid-Structure Interaction Applied to Blood Flow Simulations
  • Validity of Paranasal CT Image Reconstruction for Finite Element Models in Otorhinolaryngology.