Rui Fonseca-Pinto

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Associate Professor

Instituto Politécnico de Leiria

Portugal

Research Interests

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About

Rui Fonseca-Pinto is an Associate Professor at Instituto Politécnico de Leiria, Portugal. His research primarily focuses on control systems, cardiac rehabilitation, and innovative health technologies, as evidenced by his recent articles on cardiac tele-rehabilitation, melanoma detection, and the optimization of health responses during the COVID-19 pandemic. He is actively engaged in advancing understanding and solutions related to health and technology in clinical settings.

Recent Grants

Grant: Close

2ARTS

Open Date: 2021-03-01

Close Date: 2023-02-01

Grant: Close

2ARTS

Open Date: 2021-03-01

Close Date: 2023-02-01

Grant: Close

Utilização de imagens plenópticas para avaliação de lesões da pele

Open Date: 2018-07-01

Close Date: 2021-07-01

Grant: Close

MOVIDA - Plataforma de Monitorização da Actividade Física

Open Date: 2017-09-01

Close Date: 2019-03-01

Grant: Close

MOVIDA - Plataforma de Monitorização da Actividade Física

Open Date: 2017-09-01

Close Date: 2019-03-01

Articles (13)

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2025

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2023

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2022

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2022

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2022

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2022

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2021

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2021

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2021

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2021

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2020

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PORTUGAL

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Marlene Lages

Instituto Politécnico de Leiria

PORTUGAL

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Nuno Vieira Lopes

Adjunct professor

Instituto Politécnico de Leiria Escola Superior de Tecnologia e Gestão

PORTUGAL

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Rui Fonseca-Pinto

Research Interests

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About

Recent Grants

Articles (13)

Lurie Control Systems Applied to the Sudden Cardiac Death Problem Based on Chua Circuit Dynamics

Hybrid Cardiac Telerehabilitation After Acute Coronary Syndrome: Self-selection Predictors and Outcomes

Enhancement of light field disparity maps by reducing the silhouette effect and plane noise

Multiple Instance Learning Using 3D Features for Melanoma Detection

P06-13 Movida.Cronos – eHealth app at primary care to fight sedentary behavior

Evaluation of postural systems of the pelvis in a person with Limb-Girdle Muscular Dystrophy: results of the analysis of three cushions in the promotion of dynamic balance

Melanoma classification using light-Fields with morlet scattering transform and CNN: Surface depth as a valuable tool to increase detection rate

Hybrid cardiac telerehabilitation program as a potential strengthening factor in the quality of life in patients with coronary heart disease: a retrospective single-centre analysis

Hybrid cardiac rehabilitation program as a potential enhancer of adherence to cardiac rehabilitation in smoking patients with coronary heart disease - a retrospective single-centre analysis

Optimal control of the COVID-19 pandemic: controlled sanitary deconfinement in Portugal

Dermoscopic skin lesion image segmentation based on Local Binary Pattern Clustering: Comparative study

Skin lesion classification enhancement using border-line features – The melanoma vs nevus problem

Assessing autonomic control of metabolic syndrome by principal component analysis: a data driven methodology

Collaborators (8)

Luis Tavora

Rui Pedro Paiva

Cristiana Silva

Jaime Ribeiro

Sergio Faria

Pedro Assuncao

Marlene Lages

Nuno Vieira Lopes

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