INESC TEC
INESC TEC
INESC TEC
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INESC TEC

Biomedical Engineering Research

About 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.

Selected Publications

Towards automatic forecasting of lung nodule diameter with tabular data and CT imaging

Ferreira, CA;Venkadesh, KV;Jacobs, C;Coimbra, M;Campilho, A;

2024

Biomed. Signal Process. 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, A;Ramos, I;Coimbra, M;Campilho, A;

2024

2024 IEEE 22nd Mediterranean Electrotechnical Conference, MELECON 2024

Post-Operative Recovery Process Assessment of Total Hip Arthroplasty with Instrumented Implant

Rodrigues, C;Correia, M;Abrantes, J;Rodrigues, M;Nadal, J;

2024

2024 IEEE 22nd Mediterranean Electrotechnical Conference, MELECON 2024

Man-Machine Symbiosis UAV Integration for Military Search and Rescue Operations

Minhoto, V;Santos, T;Silva, LTE;Rodrigues, P;Arrais, A;Amaral, A;Dias, A;Almeida, J;Cunha, JPS;

2024

ROBOT 2023: SIXTH IBERIAN ROBOTICS CONFERENCE, VOL 2

See more publications

Supervised theses

bio-signal analysis for neuromuscular control assessment: application to the stretch-shortening cycle in the human locomotion system

Carlos Manuel Barbosa Rodrigues

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

UP-FEUP

Segmentation and Quantification of Gynecological Structures from Ultrasound Images

Diego Santos Wanderley

UP-FEUP

Segmentation and Quantification of Gynecological Structures from Ultrasound Images

Diego Santos Wanderley

UP-FEUP

See more supervised theses

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