João Manuel Pedrosa

Assistant Researcher

João Pedrosa was born in Figueira da Foz, Portugal, in 1990. He received the M.Sc. degree in biomedical engineering from the University of Porto, Porto, Portugal, in 2013 and the Ph.D. degree in biomedical sciences with KU Leuven, Leuven, Belgium, in 2018 where he focused on the development of a framework for segmentation of the left ventricle in 3D echocardiography. He joined INESC TEC (Porto, Portugal) in 2018 as a postdoctoral researcher and is an invited assistant professor at the Faculty of Engineering of the University of Porto since 2020. His research interests include medical imaging acquisition and processing, machine/deep learning and applied research for improved patient care.

Domains

Artificial Intelligence Bioengineering Computer Science and Engineering

Projects

TAMI

LNDetector

Automatic Detection, Segmentation and Classification of Pulmonary Nodules System in Computed Tomography Images

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Publications

Image Captioning for Coronary Artery Disease Diagnosis

Magalhães, B;Pedrosa, J;Renna, F;Paredes, H;Filipe, V;

2024

IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024, Lisbon, Portugal, December 3-6, 2024

Deep Left Ventricular Motion Estimation Methods in Echocardiography: A Comparative Study

Ferraz, S;Coimbra, MT;Pedrosa, J;

2024

46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2024, Orlando, FL, USA, July 15-19, 2024

BEAS-Net: A Shape-Prior-Based Deep Convolutional Neural Network for Robust Left Ventricular Segmentation in 2-D Echocardiography

Akbari, S;Tabassian, M;Pedrosa, J;Queirós, S;Papangelopoulou, K;D'hooge, J;

2024

IEEE TRANSACTIONS ON ULTRASONICS FERROELECTRICS AND FREQUENCY CONTROL

Evaluating Visual Explainability in Chest X-Ray Pathology Detection

Pereira, P;Rocha, J;Pedrosa, J;Mendonça, AM;

2024

2024 IEEE 22ND MEDITERRANEAN ELECTROTECHNICAL CONFERENCE, MELECON 2024

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Supervised Theses

Generative Adversarial Networks in Automated Chest Radiography Screening

Martim Quintas e Sousa

M - 2020

UP-FEUP

Generative Adversarial Networks in Automated Chest Radiography Screening

Martim de Aguiar Quintas Penha e Sousa

M - 2021

UP-FEUP

Multi-Modal Tasking for Skin Lesion Classication using DNN

Rafaela Garrido Ribeiro de Carvalho

M - 2021

UP-FEUP

Detection of Pulmonary Lesions for COVID-19 Screening

Joana Soares Maximino

M - 2021

UP-FCUP

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Centres

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.