If you made any changes in Pure these will be visible here soon.

Personal profile

Research profile

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.

Academic background

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.

Quote

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. 

Expertise related to UN SDGs

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 9 - Industry, Innovation, and Infrastructure

Fingerprint

Dive into the research topics where Catarina Dinis Fernandes is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 6 Similar Profiles

Network

Recent external collaboration on country level. Dive into details by clicking on the dots or
If you made any changes in Pure these will be visible here soon.