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Publicações

Publicações por Aurélio Campilho

1992

DIGITAL IMAGE-PROCESSING - FUNDAMENTALS AND MICROCOMPUTER APPLICATIONS IN MEDICAL IMAGING

Autores
CAMPILHO, AJC; MENDONCA, AMRSF;

Publicação
INNOVATION ET TECHNOLOGIE EN BIOLOGIE ET MEDECINE

Abstract

1992

SIGNAL-PROCESSING APPLIED TO THE STUDY OF ELECTROCHEMICAL PROPERTIES OF METALLIC BIOMATERIALS

Autores
GARRIDO, A; CAMPILHO, A; BARBOSA, MA;

Publicação
BIOMATERIAL-TISSUE INTERFACES

Abstract

1992

IMAGE-ANALYSIS TECHNIQUES FOR AVASCULAR REGION DETECTION IN RETINAL ANGIOGRAPHY

Autores
CAMPILHO, AJC; DEMENDONCA, AMRSF; NUNES, JMR;

Publicação
PROGRESS IN IMAGE ANALYSIS AND PROCESSING II

Abstract

1990

IMAGE REGISTRATION OF EYE FUNDUS ANGIOGRAMS

Autores
DEMENDONCA, AMRSF; CAMPILHO, AJC; RESTIVO, FJO; NUNES, JMR;

Publicação
SIGNAL PROCESSING V : THEORIES AND APPLICATIONS, VOLS 1-3

Abstract

1998

Special issue on deformable models and techniques for image and signal processing

Autores
Campilho, A; Kamel, M;

Publicação
SIGNAL PROCESSING

Abstract

2007

BING: The Portuguese Brain Imaging Network Grid

Autores
Silva Cunha, JPS; Oliveira, I; Fernandes, JM; Campilho, A; Castelo Branco, M; Sousa, N; Pereira, AS;

Publicação
IBERGRID: 1ST IBERIAN GRID INFRASTRUCTURE CONFERENCE PROCEEDINGS

Abstract
The present paper describes the Portuguese National Brain Imaging Network designed to join R&D efforts of four Portuguese universities (Aveiro, Coimbra, Minho and Porto) in this emergent scientific area. This is an open initiative, already funded in 81.3% of its predicted investment (similar to 4.3 million E) for the first 5 years of operation, opened to the participation of other national institutions. This area of neuroscience uses several types of datasets from different medical imaging modalities and biosignals. MRI/MRS and fMRI volumes along with high-resolution EEG are our main targets for the first 5 years of operation and can easily reach the GByte size for a patient study. The Brain Imaging Network Grid (BING) will provide the support to a "neuroscientist-friendly" web portal where neuroscientists can submit brain imaging datasets for different analysis protocols. We will focus the present paper on the description of the consortium, its objectives and the network and Grid services architecture designs that will provide both the computational resources and the federated large data repository for the Portuguese national wide neuroscience scientific community.

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