I graduated from the School of Sciences at the University of Porto in 2004, majoring in Applied Mathematics. Later, I completed a Masters degree in Electrical and Telecommunications Engineering at Aveiro University in 2008. In 2015, I achieved my PhD in Electrical and Computer Engineering from the University of Porto, with Cum Laude distinction.

Currently, I am an Assistant Professor (Professor Adjunto) at DEIS-ISEC and a Researcher at both the Centro de Investigação do Instituto Português de Oncologia do Porto (CI-IPOP) and RISE-Health: Rede de Investigação em Saúde.

At DEIS-ISEC, I contribute to the domain of Artificial Intelligence by teaching various courses and serving as the president of the commission for accreditation of competences in Informatics Engineering degrees. My Teaching Personnel Performance Assessment Process for 2022 achieved an overall Qualitative Rating of Excellent.

 To complement my academic roles, I have served as the President of APRP (Associação Portuguesa de Reconhecimento de Padrões) and hold the position of Associate Editor for IEEE Access, where I received the Outstanding Associate Editor Award in 2020, 2022 and 2023. I am also an Associate Editor for Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualisation.

Throughout my career, I have gained extensive experience in research projects and technological development. I have worked as a Principal Investigator and Postdoctoral researcher in various projects funded by organisations such as IPO Porto, Norte Portugal Regional Operational Programme, and the Portuguese Agency for Innovation. 

My research primarily focuses on oncological prognosis, and breast and prostate cancer screening and diagnosis driven by image processing, pattern recognition and machine learning.

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

PhD students

• 2021-present: Bruno Mendes, "Radiomic Features for a Prostate Cancer Evaluation Framework"', Doctoral Program in Biomedical Engineering, Faculty of Engineering, University of Porto

• 2022-present: Ana Carolina Rodrigues, "Bi-parametric MRI Radiomics in the Spectrum of Prostate Cancer Treatment – Assessing the Trustworthiness of AI Models'", HEADS - Programa Doutoral em Ciência de Dados de Saúde

News

• [2024, Jun] The work Comparing Vision Transformers and Convolutional Neural Networks for Image Classification: A Literature Review was selected as Applied Sciences Editor’s Choice Article

• [2024, Jun] I was invited to joint the technical Program Committee of the 16th International Conference on Education Technology and Computers (ICETC 2024) 

• [2024, Jun] I was invited by the Swiss National Science Foundation to perform a scientific evaluation of a grant proposal to finance a research project

• [2024, Jun] I was invited to joint the technical Program Committee of the IEEE-IJCB-2024 Special Session on Generative AI for Futuristic Biometrics (GENAI2024)

• [2024, Jun] I was invited to join the editorial board of BMC Artificial Intelligence: a brand new journal for the BMC series 

• [2024, Jun] I was invited to joint the technical Program Committee of the 7th International Conference on Artificial Intelligence and Pattern Recognition (AIPR2024) 

• [2024, May] I have been awarded the Outstanding Associate Editor of 2023 for IEEE Access 

• [2024, May] Stephanie Batista Niño had her paper "Performance Evaluation Metrics for Automatic Liver Segmentation on Medical Imaging Scans" accepted at International Conference on Mathematical Analysis and Applications in Science and Engineering (ICMASC)

• [2024 May] I am part of IAPR Nominating Comittee

• [2024 May] I was invited to be a Keynote Speaker at the Conference on Biomedical Engineering (GCBE2025)

• [2024 May] I was invited to be an Organizing Committee Member at AICBES2025.

• [2024 Apr] I was invited to be an IMIP session chair for the "Digital Medical Image Analysis and Processing Technology" session.

• [2024, Mar] I was invited to joint the technical Program Committee of the 27th European Conference on Artificial Intelligence (ECAI)

• [2024, Mar] Entry on Algorithms for Liver Segmentation in Computed Tomography Scans in Encyclopedia

• [2024, Mar] I was invited to joint the technical Program Committee of the 1st International Conference on Explainable AI for Neural and Symbolic Methods” - EXPLAINS

• [2024, Mar] Stephanie Batista Niño had her paper "Algorithms for Liver Segmentation in Computed Tomography Scans: A Historical Perspective" accepted at Sensors Special Issue on Biomedical Sensing and Bioinformatics Processing

• [2024, Feb] I was invited to joint the technical Program Committee of the International Joint Conference on Biometrics

• [2024, Feb] Stephanie Batista Niño had her paper "Algorithms for Liver Segmentation in Computed Tomography Scans: A Historical Perspective" available at PrePrints 

• [2024, Feb] I am a Program Committee Member of the 2024 International Workshop on Biometrics and Forensics (IWBF)

• [2024, Jan] I am a Program Committee Member of the 2024 IEEE 22nd Mediterranean Electrotechnical Conference (MELECON) - Special Session 18

• [2024, Jan] Cátia Roriz finished her MSc project entitled "Enhancing Breast Cancer Diagnosis: A Mammogram Retrieval System and Ground Truth Application" at Instituto Superior de Engenharia de Coimbra (ISEC)

• [2024, Jan] I am a Program Committee Member of the International Conference on Intelligent Medicine and Image Processing (IMIP)

• [2023, Dec] I was invited to joint the technical Program Committee of the IEEE International Conference on Computer Vision and Machine Intelligence (IEEE CVMI)

• [2023, Dec] Ana Carolina Rodrigues had her paper "Development and Prospective Validation of a Fully Automatic Bi-Parametric MRI Radiomics Signature to Predict Prostate Cancer Disease Aggressiveness: A Multi-Centric Study Using Over 4000 Patients" available at The Lancet PrePrints 

• [2023, Set] José Maurício had his paper "Distinguishing between Crohn's disease and Ulcerative colitis using Deep Learning Models with Interpretability" accepted at Pattern Analysis and Applications 

• [2023, Nov] I am a Program Committee Member of 47th International ACM SIGIR Conference on Research and Development in Information Retrieval 

• [2023, Nov] Vasconcelos (Eds), Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications. CIARP 2023 (Lecture Notes in Computer Science 14470) 

• [2023, Set] José Maurício had his paper "Knowledge Distillation of Vision Transformers and Convolutional Networks to Predict Inflammatory Bowel Disease" accepted at 26th Iberoamerican Congress on Pattern Recognition (CIARP)

Papers in the spotlight

• Domingues, I., & Cardoso, J. S. (2014, August). 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. 

• Martins, P., Domingues, I., Silva, A., & António, J. S. T. (2007). An MRI study of european portuguese nasals. In INTERSPEECH

• Marques, F., Duarte, H., Santos, J., Domingues, I., Amorim, J. P., & Abreu, P. H. (2019, April). An iterative oversampling approach for ordinal classification. In Proceedings of the 34th ACM/SIGAPP symposium on applied computing (pp. 771-774). 

• Rodrigues, A., Rodrigues, N., Santinha, J., Lisitskaya, M. V., Uysal, A., Matos, C., ... & Papanikolaou, N. (2023). Value of handcrafted and deep radiomic features towards training robust machine learning classifiers for prediction of prostate cancer disease aggressiveness. Scientific Reports, 13(1), 6206. 

• Cardoso, J. S., Sousa, R., & Domingues, I. (2012, December). Ordinal data classification using kernel discriminant analysis: A comparison of three approaches. In 2012 11th International Conference on Machine Learning and Applications (Vol. 1, pp. 473-477). IEEE. 

The complete list of my publications is available at Google Scholar Citations.