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About

About

I was born in Matosinhos, Portugal, in 1993. I finished the Integrated Master in Bioengineering from Faculdade de Engenharia da Universidade do Porto in 2016. I specialized in Biomedical Engineering. Currently, I am pursuing a PhD, being enrolled in the MAP Doctoral Programme in Computer Science (MAP-i). During my PhD, I will be hosted at INESC TEC, more precisely in the Visual Computing and Machine Intelligence group (VCMI).

Interest
Topics
Details

Details

Publications

2018

The development of an automatic tool to improve perforators detection in Angio CT in DIEAP flap breast reconstruction

Authors
Mavioso, C; Correia Anacleto, JC; Vasconcelos, MA; Araujo, R; Oliveira, H; Pinto, D; Gouveia, P; Alves, C; Cardoso, F; Cardoso, J; Cardoso, MJ;

Publication
EUROPEAN JOURNAL OF CANCER

Abstract

2018

The development of an automatic tool to improve perforators detection in Angio CT in DIEAP flap breast reconstruction

Authors
Mavioso, C; Correia Anacleto, J; Vasconcelos, M; Araújo, R; Oliveira, H; Pinto, D; Gouveia, P; Alves, C; Cardoso, F; Cardoso, J; Cardoso, M;

Publication
European Journal of Cancer

Abstract

2017

Segmentation of the Rectus Abdominis Muscle Anterior Fascia for the Analysis of Deep Inferior Epigastric Perforators

Authors
Araujo, RJ; Oliveira, HP;

Publication
Pattern Recognition and Image Analysis - 8th Iberian Conference, IbPRIA 2017, Faro, Portugal, June 20-23, 2017, Proceedings

Abstract
The segmentation of the anterior fascia of the rectus abdominis muscle is an important step towards the analysis of abdominal vasculature. It may advance Computer Aided Detection tools that support the activity of clinicians who study vessels for breast reconstruction using the Deep Inferior Epigastric Perforator flap. In this paper, we propose a two-fold methodology to detect the anterior fascia in Computerized Tomographic Angiography volumes. First, a slice-wise thresholding is applied and followed by a post-processing phase. Finally, an interpolation framework is used to obtain a final smooth fascia detection. We evaluated our method in 20 different volumes, by calculating the mean Euclidean distance to manual annotations, achieving subvoxel error. © Springer International Publishing AG 2017.

Supervised
thesis

2016

Framework for the Automatic Segmentation of General Vascular Networks

Author
Ricardo Jorge Terroso de Araújo

Institution
UP-FCUP