Computational methodologies of signal processing and analyses, namely considering
2D and 3D images, are commonly used in different application of the human society. For instances, more Computational Vision systems are used for surveillance tasks, traffic analysis, recognition process, inspection purposes, human-machine interfaces, 3D vision and deformation analysis.
One of the main characteristics of the Computational Vision domain is its inter-multidisciplinary. In fact, in this domain are usually used methodologies of several more basic sciences, such as Informatics, Mathematics, Statistics, Psychology, Mechanics and Physics. Besides this inter-multidisciplinary characteristic, one of the main reasons that contributes for the continually effort done in this domain of the human knowledge is the number of applications
that exist in the medical area. For instance, it is possible to consider the use of statistical or physical procedures on medical images in order to model the represented structures. This modeling can have different goals, for example: shape reconstruction, organs segmentation in images, images registration, behavior simulation, motion and deformation analysis, virtual reality, computer-assisted therapy or tissue characterization.
The main objective of these ECCOMAS Thematic Conferences on Computational
Vision and Medical Image Processing is to promote a comprehensive forum for discussion on the recent advances in the related fields trying to identify widespread areas of potential collaboration between researchers of different sciences.
The Conference will bring together several researchers from around the world representing several fields of study related to Computational Vision or Medical Image Processing. The expertise will span a broad range of techniques,
such as finite element method, modal analyses, stochastic methods, principal components analyses, independent components analyses and distribution models.

CONFERENCE topics

The proposed thematic sessions are the following (but not limited):
. Signal and Image Processing
. Computational Vision
. Medical Imaging
. Physics of Medical Imaging
. Tracking and Analysis of Movement
. Simulation and Modeling
. Image Acquisition
. Shape Reconstruction
. 3D Vision
. Objects Segmentation
. Objects Matching
. Data Interpolation, Registration and Compression
. Mesh Generation and Processing
. Rapid Prototyping from Images
. Telemedicine
. Virtual Reality
. Computer Aided Diagnosis, Surgery, Therapy, and Treatment
. Computational Bioimaging and Visualization
. Software Development

ORGANIZING COMMITTEE

João Manuel R. S. Tavares
Faculty of Engineering of University of Porto, Portugal
Renato M. Natal Jorge
Faculty of Engineering of University of Porto, Portugal
Maria Amélia Duarte Ferreira
Faculty of Medicine of University of Porto, Portugal
Francisco J. Perales López
University of Balears Island, Spain
Conference Secretariat
Mrs. Júlia Meira
IDMEC
Faculdade de Engenharia da Universidade do Porto
Rua Dr Roberto Frias
4200-465 Porto, Portugal.
Tel: +351 225 574 167
Fax: +351 225 574 170
E-mail: julia@fe.up.pt

Web: www.fe.up.pt/~vipimage

Flyer:

VipIMAGE09_flyer.pdf

Poster:

VipIMAGE09_poster.pdf

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Welcome! Nanopaprika was cooked up by Hungarian chemistry PhD student in 2007. The main idea was to create something more personal than the other nano networks already on the Internet. Community is open to everyone from post-doctorial researchers and professors to students everywhere.

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Publications by A. Paszternák:

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Pd/Ni Synergestic Activity for Hydrogen Oxidation Reaction in Alkaline Conditions

The potential use of cellophane test strips for the quick determination of food colours

pH and CO2 Sensing by Curcumin-Coloured Cellophane Test Strip

Polymeric Honeycombs Decorated by Nickel Nanoparticles

Directed Deposition of Nickel Nanoparticles Using Self-Assembled Organic Template,

Organometallic deposition of ultrasmooth nanoscale Ni film,

Zigzag-shaped nickel nanowires via organometallic template-free route

Surface analytical characterization of passive iron surface modified by alkyl-phosphonic acid layers

Atomic Force Microscopy Studies of Alkyl-Phosphonate SAMs on Mica

Amorphous iron formation due to low energy heavy ion implantation in evaporated 57Fe thin films

Surface modification of passive iron by alkylphosphonic acid layers

Formation and structure of alkylphosphonic acid layers on passive iron

Structure of the nonionic surfactant triethoxy monooctylether C8E3 adsorbed at the free water surface, as seen from surface tension measurements and Monte Carlo simulations

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