Inês Domingues

Inês Domingues graduated in Applied Mathematics in the School of Sciences at the University of Porto in 2004, completed a Masters degree in Electrical and Telecommunications Engineering at Aveiro University in 2008 and finished the PhD in Electrical and Computer Engineering in the School of Engineering at the University of Porto in 2015 (Cum Laude).

She is currently a post doctoral researcher, Member of the Medical Physics, Radiobiology and Radiation Protection Group, IPO Porto Research Centre (CI-IPOP) and an Invited Assistant Professor at DEIS-ISEC, where she is part of the jury for accreditation of competences in the Informatics Engineering degrees (LEI, LEI-PL and LEI-CE).

She is secretary of the presidency of APRP (Associação Portuguesa de Reconhecimento de Padrões) and Associate Editor of IEEE Access.

Other Websites: LinkedIn profile, Google Scholar Citations; Semantic Scholar; DBLP; Research Gate profile; Scopus profile; ORCID 0000-0002-2334-7280; Publons; Quora; Skype; Academia; GitHub; Kudos; Mendeley; Authenticos; dblp. Identificador na plataforma CIÊNCIA ID 971F-F25B-1E79

Projects:

B-Simple initiated the PatientCare COVID-19 Project as part of the Northern Regional Operational Program known as NORTE 2020. This project aims to develop a platform for the collection and treatment of clinical information from COVID-19 patients, where Artificial Intelligence and Machine Learning techniques will be applied to recognize patterns of disease progression, taking into account the specificities of Portugal. Learn more at: www.b-simple.pt

Announcements:

News:

  • [2020, Oct] Ana Rita Sacramento had her paper "Artificial Intelligence in the Operating Room: evaluating traditional classifiers to predict patient readmission" accepted at RECPAD

  • [2020, Set] Mariana Girão finished her BSc project entitled "Estudo do impacto ao cálculo da dose no planeamento dos tratamentos de radioterapia" at Instituto Superior de Engenharia de Coimbra (ISEC)

  • [2020, Aug] Jorge Filipe Santos Ferreira had his paper "Classification of oesophagic early-stage cancers: deep learning versus traditional learning approaches" accepted at BIBE

  • [2020, Jul] Jorge Filipe Santos Ferreira finished his MSc project entitled "Classifying very small multi-modal data: application oesophagic early-stage cancers" at Faculdade de Ciências da Universidade do Porto (FCUP)

  • [2020, Jun] Ana Rita Sacramento finished her BSc project entitled "Inteligência Artificial em ambiente de bloco operatório" at Instituto Superior de Engenharia de Coimbra (ISEC)

  • [2020, Jun] I will be the chair of an Health Informatics session at CISTI - 15ª Conferência Ibérica de Sistemas e Tecnologias de Informação

  • [2020, Apr] Alexandre Azambuja Lavrador finished his BSc project entitled "Integração Aplicacional" at Instituto Superior de Engenharia de Coimbra (ISEC)

  • [2020, Mar] Miguel Roque finished his BSc project entitled "Data Science Relevance to Make Data-Driven Decisions" at Instituto Superior de Engenharia de Coimbra (ISEC)

  • [2020, Mar] Alexandre Ferreira finished his BSc project entitled "Manutenção de uma Plataforma Core de Seguros" at Instituto Superior de Engenharia de Coimbra (ISEC)

  • [2020, Mar] I have been appointed as the editorial board member of Biomedical Statistics and Informatics

  • [2020, Mar] João Carvalho finished his BSc project entitled "Gestão e Controlo de Equipamentos" at Instituto Superior de Engenharia de Coimbra (ISEC)

  • [2020, Feb] Domingues, I., Sequeira, A. F., Pinto, C., Rocha, À., & Group, R. P. (2020). Guest Editorial: Multimedia Systems and Applications in Biomedicine. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization TCIV, 00(00), 1–2. https://doi.org/10.1080/21681163.2020.1722756

  • [2019, Dez] Guest Editorial Information Fusion for Medical Data: early, late and deep fusion methods for multimodal data, IEEE J. Biomed. Heal. Informatics. doi:10.1109/JBHI.2019.2958429.

  • [2019, Nov] New paper accepted in Artificial Intelligence Review, entitled "Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET"

Some of the most relevant publications include: