Miguel Coimbra
TEC4 Coordinator
Prof. Miguel Coimbra is currently a Full Professor at the Computer Science Department of the Faculty of Sciences of the University of Porto. He is a member of the Executive Board of the Faculty of Sciences of the University of Porto since 2019, current coordinator of the TEC4Health line of INESC TEC, and past Chair of the Portugal Chapter of the IEEE Engineering and Medicine Society (2017-2021). He was one of the founders of IT Porto in 2007, its coordinator during 2015-19 and founder of the Interactive Media Group at this institute. He was the Director of the Master in Medical Informatics of the University of Porto between 2014-16, and was a co-founder in 2013 of IS4H - Interactive Systems for Healthcare, a spin-off company of the University of Porto. Prof. Coimbra leads and participates in various projects involving engineering and medicine, namely cardiology and gastroenterology, with current and past collaborations with hospitals in Portugal, Brazil (Pernambuco, Paraíba, Minas Gerais, São Paulo), Germany and Sweden. The nearly 16 years of experience in biomedical signal processing and interactive systems for healthcare have led to the development and deployment of systems for the collection and analysis of auscultation signals, echocardiography image processing for rheumatic fever screening, monitoring of stress and fatigue of firefighters in action, endoscopy signal analysis for cancer detection, computer assisted decision systems for capsule endoscopy, and quantification of 3d motion patterns for epilepsy, among others. Prof. Coimbra has more than 130 scientific publications, 25 of which in high-impact scientific journals (17 IEEE Transactions) and has attracted and managed more than 2M€ in research funding, over a total of 15 research projects acting as the PI of the project (10 projects) or co-PI of its Institution (5 projects).
Publications
Towards automatic forecasting of lung nodule diameter with tabular data and CT imaging
Ferreira, ICA;Venkadesh, KV;Jacobs, C;Coimbra, M;Campilho, A;
2024
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
A Comparative Study of Feature-Based and End-to-End Approaches for Lung Nodule Classification in CT Volumes to Lung-RADS Follow-up Recommendation
Ferreira, CA;Ramos, I;Coimbra, M;Campilho, A;
2024
2024 IEEE 22ND MEDITERRANEAN ELECTROTECHNICAL CONFERENCE, MELECON 2024
Deep Learning for Segmentation of the Left Ventricle in Echocardiography
Ferraz, S;Coimbra, M;Pedrosa, J;
2023
2023 IEEE 7TH PORTUGUESE MEETING ON BIOENGINEERING, ENBENG
A Two-Stage Method for Polyp Detection in Colonoscopy Images Based on Saliency Object Extraction and Transformers
Lima, ACD;de Paiva, LF;Braz, G;de Almeida, JDS;Silva, AC;Coimbra, MT;de Paiva, AC;
2023
IEEE ACCESS
Supervised Theses
Crackle and wheeze detection in lung sound signals using convolutional neural networks
Pedro Sousa Faustino
M - 2019
UP-FCUP
Medical images analysis using Deep Learning - A skin cancer screening system
José Querubim Rocha Reisinho
M - 2019
UP-FCUP
Processing technical drawings using deep learning
Norberto Carlos Saraiva Martins
M - 2019
UP-FCUP
Utilização de algoritmos de visão computacional para diagnóstico de doenças da vinha
Simon Afonso
M - 2019
UP-FCUP

