Hélder Filipe Oliveira

Domains

Telecommunications and Multimedia Artificial Intelligence Bioengineering

Projects

HfPT

NanoStima-RL5

The goal of CAD-RL5 is to develop advanced capabilities for computer-aided detection and diagnosis (CAD). This requires research on innovative methodologies for CAD development, that will make it possible to go from ad hoc engineering approaches, driven by direct expert knowledge, to more automated approaches, driven by the intrinsic structure of data, knowledge discovery and expert supervision. Problems tackled will be generic in the sense that appropriate outcomes can be applied universally to medical imaging practices. The developed method will enable lab demonstrations of several clinical problems where the research team has relevant experience (e.g. radiology, ophthalmology and ultrasound imaging). Project Information Sheet (PT)

NanoSTIMA - Advanced Methodologies for Computer-Aided Detection and Diagnosis

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Publications

Radiological Medical Imaging Annotation and Visualization Tool

Teiga, I;Sousa, JV;Silva, F;Pereira, T;Oliveira, HP;

2024

UNIVERSAL ACCESS IN HUMAN-COMPUTER INTERACTION, PT III, UAHCI 2024

Comparative Study Between Object Detection Models, for Olive Fruit Fly Identification

Victoriano, M;Oliveira, L;Oliveira, HP;

2024

Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, VISIGRAPP 2024, Volume 2: VISAPP, Rome, Italy, February 27-29, 2024.

AI-based Models to Predict the Heart Rate Using PPG and Accelerometer Signals During Physical Exercise

Ribeiro L.;Oliveira H.P.;Hu X.;Pereira T.;

2023

Proceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

Multitask learning approach for lung nodule segmentation and classification in CT images

Fernandes, L;Oliveira, P;

2023

Proceedings - 2023 2023 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2023

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Supervised theses

Smart Aerial Networks using Machine Learning for Cross-Layer Optimization

Rúben Miguel Rei Queirós

D - 2023

UP-FEUP

Centres

Telecommunications and Multimedia

The Centre for Telecommunications and Multimedia (CTM) welcomes close to 200 members, including at least 100 integrated researchers who carry out scientific work in the fields of communications, Artificial Intelligence, and computer science and engineering. The Centre’s activities cover several Research and Development (R&D) domains: Communications and Electronics Radio Frequency Technologies Optoelectronics Microelectronics Wireless Communication Networks Computer Perception Computer Vision applied to Medical Imaging Computer Vision applied to Digital Media Computer Audio applied to Music With multidisciplinary teams that include dozens of PhDs, CTM is strongly committed to both European and national research projects, as well as consultancy projects with industry.