Miguel Coimbra
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).
Projects
Publications
Cross-Domain Detection of Pulmonary Hypertension in Human and Porcine Heart Sounds
Gaudio, A;Giordano, N;Coimbra, MT;Kjaergaard, B;Schmidt, SE;Renna, F;
2023
Computing in Cardiology, CinC 2023, Atlanta, GA, USA, October 1-4, 2023
Diagnostic Performance of Deep Learning Models for Gastric Intestinal Metaplasia Detection in Narrow-band Images
Martins, ML;Pedroso, M;Libânio, D;Dinis Ribeiro, M;Coimbra, M;Renna, F;
2023
2023 45TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY, EMBC
On the Impact of Synchronous Electrocardiogram Signals for Heart Sounds Segmentation
Silva, A;Teixeira, R;Fontes Carvalho, R;Coimbra, M;Renna, F;
2023
2023 45TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY, EMBC
Automatic Contrast Generation from Contrastless Computed Tomography
Domingues, R;Nunes, F;Mancio, J;Fontes Carvalho, R;Coimbra, M;Pedrosa, J;Renna, F;
2023
2023 45TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE & BIOLOGY SOCIETY, EMBC
Supervised theses
Unsupervised learning approach for predictive maintenance in power transformers
Duarte Miguel de Novo Faria
M - 2022
UP-FEUP
Centres
TEC4
Biomedical Engineering Research
The impact that science and innovation can have on the prevention, early detection, and support for the diagnosis of various types of diseases is fully explored at our Centre for Biomedical Engineering Research (C-BER). Guided by an interdisciplinary approach that prioritises technology transfer with economic impact—through the creation of new systems, tools, and methods related to disease diagnosis and monitoring, ageing, human rehabilitation, physiotherapy, and functional assessment—our researchers are dedicated to developing advanced technologies positioned at the intersection of engineering, medicine and health, and general well-being. Promoting strategic partnerships with clinical partners, research institutes, and encouraging international cooperation is one of the centre’s key priorities. Its research is structured across three distinct areas: Biomedical Imaging, Bioinstrumentation, and Neuroengineering.
