INESC TEC
INESC TEC
INESC TEC
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António Cunha

António Cunha

Senior Researcher

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.

Publications

Automating the Annotation of Medical Images in Capsule Endoscopy Through Convolutional Neural Networks and CBIR

Fernandes, R;Salgado, M;Paçal, I;Cunha, A;

2024

Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

A Vision Transformer Approach to Fundus Image Classification

Leite, D;Camara, J;Rodrigues, J;Cunha, A;

2024

Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

Identification and Detection in Building Images of Biological Growths – Prevent a Health Issue

Pereira, S;Cunha, A;Pinto, J;

2024

Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

A Comparative Analysis of EfficientNet Architectures for Identifying Anomalies in Endoscopic Images

Pessoa, CP;Quintanilha, BP;de Almeida, JDS;Braz, G;de Paiva, C;Cunha, A;

2024

International Conference on Enterprise Information Systems, ICEIS - Proceedings

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Supervised Theses

Deteção e segmentação de sangramentos em imagens gastrointestinais de cápsulas endoscópicas

Paulo Jorge Simões Coelho

D - 2019

UTAD-ECT

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

José Carlos Raposo da Camara

D - 2019

UTAD-ECT

Detecção e Classificação de Anormalidades em Vídeos de Endoscopia por Cápsula

Filipe Miguel Oliveira Fonseca

D - 2019

UTAD-ECT

Deteção Automática de Pessoas Portadoras de Armas em Vídeos

Gilsoney Pontes Freire

D - 2019

UTAD-ECT

See more supervised theses

Centres

Robotics in Industry and Intelligent Systems

At the Centre for Robotics and Intelligent Systems, we develop innovative solutions to leverage robotics in the industrial, agricultural, and forestry contexts, driving the digital transformation of the industry. We take a practical approach - from design to deployment - to test the navigation and localisation of mobile robots, explore advances in 2D/3D industrial vision and advanced detection, while also focusing on industrial and collaborative robotics, as well as human-robot interfaces. Our TRIBE LAB is fertile ground for innovative ideas about the agriculture of the future; we develop prototypes and promote excellence in agricultural robotics and IoT technology: with prototypes, advanced sensors (LiDAR, AI cameras), and rapid prototyping tools, we accelerate the development of solutions for the agroforestry sector. We are also present at the iiLab, where we combine applied research, technological demonstration, and controlled environment testing, promoting the integration of emerging technologies into industry. From intelligent robotic cells and cyber-physical systems to data analysis and AI, it is an innovation space where companies can experiment with and validate solutions for the factory of the future. With a multidisciplinary team, and following European agendas, our research work combines fundamental science and application, impacting the design of solutions for Industry 4.0, fostering competitiveness and the digital transformation of the sector.

Robotics in Industry and Intelligent Systems

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