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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

004
Publications

2021

Multivariate Outlier Detection in Postprocessing of Multi-temporal PS-InSAR Results using Deep Learning

Authors
Aguiar, P; Cunha, A; Bakon, M; Ruiz-Armenteros, AM; Sousa, JJ;

Publication
Procedia Computer Science

Abstract

2021

Comprehensive Perspective for Lung Cancer Characterisation Based on AI Solutions Using CT Images

Authors
Pereira, T; Freitas, C; Costa, JL; Morgado, J; Silva, F; Negrao, E; de Lima, BF; da Silva, MC; Madureira, AJ; Ramos, I; Hespanhol, V; Cunha, A; Oliveira, HP;

Publication
Journal of Clinical Medicine

Abstract
Lung cancer is still the leading cause of cancer death in the world. For this reason, novel approaches for early and more accurate diagnosis are needed. Computer-aided decision (CAD) can be an interesting option for a noninvasive tumour characterisation based on thoracic computed tomography (CT) image analysis. Until now, radiomics have been focused on tumour features analysis, and have not considered the information on other lung structures that can have relevant features for tumour genotype classification, especially for epidermal growth factor receptor (EGFR), which is the mutation with the most successful targeted therapies. With this perspective paper, we aim to explore a comprehensive analysis of the need to combine the information from tumours with other lung structures for the next generation of CADs, which could create a high impact on targeted therapies and personalised medicine. The forthcoming artificial intelligence (AI)-based approaches for lung cancer assessment should be able to make a holistic analysis, capturing information from pathological processes involved in cancer development. The powerful and interpretable AI models allow us to identify novel biomarkers of cancer development, contributing to new insights about the pathological processes, and making a more accurate diagnosis to help in the treatment plan selection.

2021

LNDb Challenge on automatic lung cancer patient management

Authors
Pedrosa, J; Aresta, G; Ferreira, C; Atwal, G; Phoulady, HA; Chen, X; Chen, R; Li, J; Wang, L; Galdran, A; Bouchachia, H; Kaluva, KC; Vaidhya, K; Chunduru, A; Tarai, S; Nadimpalli, SPP; Vaidya, S; Kim, I; Rassadin, A; Tian, Z; Sun, Z; Jia, Y; Men, X; Ramos, I; Cunha, A; Campilho, A;

Publication
Medical Image Analysis

Abstract

2020

Automatic Lung Reference Model

Authors
Machado, M; Ferreira, CA; Pedrosa, J; Negrao, E; Rebelo, J; Leitao, 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

Supervised
thesis

2020

Migração de dados numa seguradora

Author
João Manuel Grácio Sequeira

Institution
UP-FEUP

2020

Transformação digital do ecossistema de negócios com recurso a um Customer Support Chatbot caso dos SIC: Serviços de Informática e Comunicações (UTAD)

Author
Nelson dos Santos Joel Bape

Institution
UP-FEUP

2019

Radiomics: Tumour genotype prediction

Author
Catarina Manuela Fonseca Dias

Institution
UP-FEUP

2019

Rastreamento automático da papila óptica glaucomatosa usando métodos do deep learning com base em imagens obtidas por smartphone e dados de anamnese do paciente

Author
José Carlos Raposo da Camara

Institution
UTAD

2019

Desenvolvimento de uma aplicação androoide para o jardim botânico da Utad

Author
João Carlos Trindade Moreira

Institution
UTAD