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
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
I am on the Technical Committee of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
I am a Topic Editor for MDPI Sensors
I am on the Program Committee of IEEE International Symposium on Biomedical Imaging (ISBI): https://biomedicalimaging.org/2021/
I am on the Program Committee of CISTI'2021 - 16th Iberian Conference on Information Systems and Technologies: http://www.cisti.eu/
I am on the Program Committee of European Conference on Information Retrieval (ECIR 2021): https://www.ecir2021.eu/
I am Guest Editor for Computational and Mathematical Organization Theory (Impact Factor of 1.372; Indexed in SCOPUS; Q3): https://www.springer.com/journal/10588
I am on the Program Committee of 4th International Conference on Advances in Engineering (AE 2020): https://aisca2020.org/ae/index.html
I am on the Program Committee of WVC (XVI Workshop de Visão Computacional): https://www.wvc2020.facom.ufu.br/
I am on the Program Committee of WorldCIST’21 (9th World Conference on Information Systems and Technologies): http://worldcist.org/
I am on the Technical Committee of the International Conference on Artificial Intelligence and Pattern Recognition (AIPR)
I am on the ECIAIR (European Conference on the Impact of Artificial Intelligence and Robotics) Committee
UT Austin Portugal Program Call for Exploratory Research Projects - My profile here
[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:
Domingues, I., Muller, H., Ortiz, A., Dasarathy, B. V., Abreu, P. H., & Calhoun, V. D. (2020). Guest Editorial: Information Fusion for Medical Data: Early, Late, and Deep Fusion Methods for Multimodal Data. IEEE Journal of Biomedical and Health Informatics, 24(1), 14–16. https://doi.org/10.1109/JBHI.2019.2958429
Domingues, I., Pereira, G., Martins, P., Duarte, H., Santos, J., & Abreu, P. H. (2020). Using deep learning techniques in medical imaging: a systematic review of applications on CT and PET. Artificial Intelligence Review, 53(6), 4093–4160. https://doi.org/10.1007/s10462-019-09788-3
Santos, J., Campos, D., Duarte, F., Pereira, F., Domingues, I., Santos, J., … Esteves, T. (2018). A Personal Robot as an Improvement to the Customers’ In- Store Experience. In Service Robots. InTech. https://doi.org/10.5772/intechopen.70277
Domingues, I., Abreu, P. H., & Santos, J. (2018). Bi-Rads Classification of Breast Cancer: A New Pre-Processing Pipeline for Deep Models Training. In 2018 25th IEEE International Conference on Image Processing (ICIP) (pp. 1378–1382): IEEE. https://doi.org/10.1109/ICIP.2018.8451510
Domingues, I., Amorim, J. P., Abreu, P. H., Duarte, H., & Santos, J. (2018). Evaluation of Oversampling Data Balancing Techniques in the Context of Ordinal Classification. In 2018 International Joint Conference on Neural Networks (IJCNN) (pp. 1–8): IEEE. https://doi.org/10.1109/IJCNN.2018.8489599
Cardoso, J. S., Domingues, I., & Oliveira, H. P. (2015). Closed Shortest Path in the Original Coordinates with an Application to Breast Cancer. International Journal of Pattern Recognition and Artificial Intelligence, 29(01), 1555002. https://doi.org/10.1142/S0218001415550022
Bessa, S., Domingues, I., Cardosos, J. S., Passarinho, P., Cardoso, P., Rodrigues, V., & Lage, F. (2014). Normal breast identification in screening mammography: A study on 18 000 images. In 2014 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (pp. 325–330). IEEE. https://doi.org/10.1109/BIBM.2014.6999178
Domingues, I., & Cardoso, J. S. (2014). Using Bayesian surprise to detect calcifications in mammogram images. In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 1091–1094). IEEE. https://doi.org/10.1109/EMBC.2014.6943784
Kozegar, E., Soryani, M., Minaei, B., & Domingues, I. (2013). Assessment of a novel mass detection algorithm in mammograms. Journal of Cancer Research and Therapeutics, 9(4), 592. https://doi.org/10.4103/0973-1482.126453
Domingues, I., & Cardoso, J. S. (2013). Mass detection on mammogram images: a first assessment of deep learning techniques. In 19th Portuguese Conference on Pattern Recognition (p. 2 pages).
Moreira, I. C., Amaral, I., Domingues, I., Cardoso, A., Cardoso, M. J., & Cardoso, J. S. (2012). INbreast: Toward a Full-field Digital Mammographic Database. Academic Radiology, 19(2), 236–248. https://doi.org/10.1016/j.acra.2011.09.014
Cardoso, J. S., Sousa, R., & Domingues, I. (2012). Ordinal Data Classification Using Kernel Discriminant Analysis: A Comparison of Three Approaches. In 2012 11th International Conference on Machine Learning and Applications (pp. 473–477). IEEE. https://doi.org/10.1109/ICMLA.2012.86
Domingues, I., Cardoso, J. S., Amaral, I., Moreira, I., Passarinho, P., Santa Comba, J., … Cardoso, M. J. (2010). Pectoral muscle detection in mammograms based on the shortest path with endpoints learnt by SVMs. In 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology (pp. 3158–3161). IEEE. https://doi.org/10.1109/IEMBS.2010.5627168
Martins, P., Carbone, I., Pinto, A., Silva, A., & Teixeira, A. (2008). European Portuguese MRI based speech production studies. Speech Communication, 50(11–12), 925–952. https://doi.org/10.1016/j.specom.2008.05.019