Catarina Fernandes is a postdoctoral researcher at the Signal Processing Systems group (department of Electrical Engineering), a member of the Biomedical Diagnostics (BM/d) research lab, and of the Eindhoven MedTech Innovation Center (e/MTIC). Her research focuses on medical image analysis, specifically on oncology and perioperative care. Catarina Fernandes' research is carried out in collaboration with industrial and clinical partners.
Diagnostic, prognostic, and predictive imaging features are not always visible with the naked eye. Mining patients’ biological signals and imaging data thus has the potential to lead to improved healthcare.
Catarina Fernandes obtained her master's degree in Biophysics Biomedical Engineering from the University of Lisbon (Portugal) in 2013. She carried out her Ph.D. research at the Netherlands Cancer Institute (Amsterdam, The Netherlands), investigating how multiparametric MRI can be used to localize and better target treatment strategies for recurrent prostate cancer after previous radiotherapy. In 2019, Catarina Fernandes obtained her Doctoral degree at the Leiden University (Leiden, The Netherlands) with a thesis entitled "Multi-parametric MRI to guide salvage treatment of recurrent prostate cancer".
In 2020 she joined the Eindhoven University of Technology (TU/e) as a postdoctoral researcher at the Biomedical Diagnostics (BM/d) research lab, focusing on medical image analysis methods applied in oncology and perioperative care.
Radiomic combination of spatial and temporal features extracted from DCE-MRI for prostate cancer detection43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021<br/> (2021)
Deep learning for prostate and zonal segmentation on a multicenter MRI dataset9th Meeting of the EAU Section of Urological Imaging (2021)
Brain hyperintensities in magnetic resonance imaging of patients with mild acute focal neurologyNeurological Sciences (2020)
Scanning Conditions in Functional Connectivity Magnetic Resonance Imaging(2020)
Multiparametric MRI Tumor Probability Model for the Detection of Locally Recurrent Prostate Cancer After Radiation TherapyInternational Journal of Radiation Oncology Biology Physics (2019)