
Biomedical Engineering Research
About the Centre
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.
Team Members
Team Members

Abdolsamad Mahmoodi

Adnan Endro Ali

Adriana João Neves

Alexandre Henrique Neto

Aline Santos Silva

Alireza FakhimBabaei

Ana Carolina Alves

Ana Filipa Macedo

Ana Filipa Neves

Ana Maria Mendonça
Senior Researcher

Anastasiia Udovyka

Aurélio Campilho

Beatriz Carriço Monteiro

Bruno Assunção Oliveira
Researcher

Carla Sofia Monteiro
Selected Publications
Single-cell and extracellular nano-vesicles biosensing through phase spectral analysis of optical fiber tweezers back-scattering signals
Barros, BJ;Cunha, JPS;
2024
COMMUNICATIONS ENGINEERING
CLARE-XR: explainable regression-based classification of chest radiographs with label embeddings
Rocha, J;Pereira, SC;Sousa, P;Campilho, A;Mendonca, AM;
2024
SCIENTIFIC REPORTS
PACE: Simple Multi-hop Scheduling for Single-radio 802.11-based Stub Wireless Mesh Networks
Ribeiro, F;Campos, R;Rua, D;Pinho, C;Ruela, J;
2013
2013 IEEE 9TH INTERNATIONAL CONFERENCE ON WIRELESS AND MOBILE COMPUTING, NETWORKING AND COMMUNICATIONS (WIMOB)
Deep learning methods for single camera based clinical in-bed movement action recognition
Karácsony, T;Jeni, LA;de la Torre, F;Cunha, JPS;
2024
IMAGE AND VISION COMPUTING
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Supervised Theses
bio-signal analysis for neuromuscular control assessment: application to the stretch-shortening cycle in the human locomotion system
Carlos Manuel Barbosa Rodrigues
D - 2019
UP-FEUP
Towards Personalized In-Silico Mathematical Models and Tools for Brain Networks Simulations and Study of Optimal Therapeutic Approaches for Refractory Epilepsy
Elodie Múrias Lopes
D - 2019
UP-FEUP
Segmentation and Quantification of Gynecological Structures from Ultrasound Images
Diego Santos Wanderley
D - 2019
UP-FEUP
Detection of lung nodules in computed tomography images
Guilherme Moreira Aresta
D - 2019
UP-FEUP
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