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About

About

I’m an Assistant Professor at the University of Trás-os-Montes and Alto Douro (UTAD), Portugal since 1996 and I teach  Networks and Security. I graduated in 1993 and started working at STCP, the Public Transport's operator of Porto. I finish my master's thesis in 1998, and obtained my doctorate in 2005, in the area of computer vision related to control of automated guided vehicles.  I’m a member of Centre for Biomedical Engineering Research (C-BER), in the research center INESC TEC since 2014. My investigation is in Electrical Engineering, Electronics & Computers, with a particular focus in machine learning and biomedical image processing.

Interest
Topics
Details

Details

003
Publications

2020

Automatic Lung Reference Model

Authors
Machado, M; Ferreira, CA; Pedrosa, J; Negrão, E; Rebelo, J; Leitão, P; Carvalho, AS; Rodrigues, MC; Ramos, I; Cunha, A; Campilho, A;

Publication
IFMBE Proceedings - XV Mediterranean Conference on Medical and Biological Engineering and Computing – MEDICON 2019

Abstract

2020

Conventional Filtering Versus U-Net Based Models for Pulmonary Nodule Segmentation in CT Images

Authors
Rocha, J; Cunha, A; Mendonca, AM;

Publication
Journal of Medical Systems

Abstract

2020

Segmentation of Pulmonary Nodules in CT Images Using the Sliding Band Filter

Authors
Rocha, J; Cunha, A; Mendonça, AM;

Publication
IFMBE Proceedings

Abstract
This paper proposes a conventional approach for pulmonary nodule segmentation, that uses the Sliding Band Filter to estimate the center of the nodule, and consequently the filter’s support points, matching the initial border coordinates. This preliminary segmentation is then refined to try to include mainly the nodular area, and no other regions (e.g. vessels and pleural wall). The algorithm was tested on 2653 nodules from the LIDC database and achieved a Dice score of 0.663, yielding similar results to the ground truth reference, and thus being a promising tool to promote early lung cancer screening and improve nodule characterization. © 2020, Springer Nature Switzerland AG.

2020

Automatic lung nodule detection combined with gaze information improves radiologists' screening performance

Authors
Aresta, G; Ramos, I; Campilho, A; Ferreira, C; Pedrosa, J; Araujo, T; Rebelo, J; Negrao, E; Morgado, M; Alves, F; Cunha, A;

Publication
IEEE Journal of Biomedical and Health Informatics

Abstract

2020

Identifying relationships between imaging phenotypes and lung cancer-related mutation status: EGFR and KRAS

Authors
Pinheiro, G; Pereira, T; Dias, C; Freitas, C; Hespanhol, V; Costa, JL; Cunha, A; Oliveira, HP;

Publication
Scientific Reports

Abstract

Supervised
thesis

2019

Deep Homography for Endoscopic Capsule Frames Localisation

Author
Sara Garrido Gomes

Institution
UP-FEUP

2019

Segmentation of Pulmonary Nodules in CT images

Author
Joana Maria Neves da Rocha

Institution
UP-FEUP

2019

Detecção e Classificação de Anormalidades em Vídeos de Endoscopia por Cápsula

Author
Filipe Miguel Oliveira Fonseca

Institution
UTAD

2019

Deteção e segmentação de sangramentos em imagens gastrointestinais de cápsulas endoscópicas

Author
Paulo Jorge Simões Coelho

Institution
UTAD

2019

3D Lung Nodule Classification in Computed Tomography Images

Author
Ana Rita Felgueiras Carvalho

Institution
UP-FEUP