Joao Manuel R.S. Tavares

Prof. Joao Manuel R.S. Tavares

Universidade do Porto, Porto, Portugal
orcid

Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 March 2012 in Computer Methods in Biomechanics and Biomedical Engineering
Verified
Journal Article
Closed access
FOFrancisco Oliveira
Francisco Oliveira
Joao Manuel R.S. TavaresJoao Manuel R.S. Tavares
Joao Manuel R.S. Tavares
This paper presents a review of automated image registration methodologies that have been used in the medical field. The aim of this paper is to be an introduction to the field, provide knowledge on the work that has been developed and to be a suitable reference for those who are looking for registration methods for a specific application. The registration methodologies under review are classified into intensity or feature based. The main steps of these methodologies, the common geometric transformations, the similarity measures and accuracy assessment techniques are introduced and described.

1 January 2020 in Pattern Recognition Letters
Verified
Journal Article
Closed access
ABAbhir Bhandary
Abhir Bhandary
GPG. Ananth Prabhu
G. Ananth Prabhu
V. RajinikanthV. Rajinikanth
V. Rajinikanth
PKPalani Thanaraj Krishnan
Palani Thanaraj Krishnan
SSSuresh Chandra Satapathy
Suresh Chandra Satapathy
NRN. Sri Madhava Raja
N. Sri Madhava Raja

21 April 2022 in Expert Systems with Applications
Verified
Journal Article
Open access
SRSelim Reza
Selim Reza
Marta Campos FerreiraMarta Campos Ferreira
Marta Campos Ferreira
José MachadoJosé Machado
José Machado
Joao Manuel R.S. TavaresJoao Manuel R.S. Tavares
Joao Manuel R.S. Tavares

1 April 2010 in Computer Methods in Biomechanics and Biomedical Engineering
Verified
Journal Article
Open access
ZMZhen Ma
Zhen Ma
Joao Manuel R.S. TavaresJoao Manuel R.S. Tavares
Joao Manuel R.S. Tavares
Renato Natal JorgeRenato Natal Jorge
Renato Natal Jorge
Teresa MascarenhasTeresa Mascarenhas
Teresa Mascarenhas
This paper aims to make a review on the current segmentation algorithms used for medical images. Algorithms are classified according to their principal methodologies, namely the ones based on thresholds, the ones based on clustering techniques and the ones based on deformable models. The last type is focused on due to the intensive investigations into the deformable models that have been done in the last few decades. Typical algorithms of each type are discussed and the main ideas, application fields, advantages and disadvantages of each type are summarised. Experiments that apply these algorithms to segment the organs and tissues of the female pelvic cavity are presented to further illustrate their distinct characteristics. In the end, the main guidelines that should be considered for designing the segmentation algorithms of the pelvic cavity are proposed.

1 June 2010 in Composite Structures
Verified
Journal Article
Closed access
Luis Miguel DuraoLuis Miguel Durao
Luis Miguel Durao
DGDaniel J.S. Gonçalves
Daniel J.S. Gonçalves
Joao Manuel R.S. TavaresJoao Manuel R.S. Tavares
Joao Manuel R.S. Tavares
Victor Hugo C. AlburquerqueVictor Hugo C. Alburquerque
Victor Hugo C. Alburquerque
AVA. Aguiar Vieira
A. Aguiar Vieira
Antonio Torres MarquesAntonio Torres Marques
Antonio Torres Marques

1 January 2012 in Pattern Recognition
Verified
Journal Article
Closed access
JPJoão P. Papa
João P. Papa
AFAlexandre X. Falcão
Alexandre X. Falcão
Victor Hugo C. AlburquerqueVictor Hugo C. Alburquerque
Victor Hugo C. Alburquerque
Joao Manuel R.S. TavaresJoao Manuel R.S. Tavares
Joao Manuel R.S. Tavares