Projects per year
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 Sustainable Development Goals
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):
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.
- 1 Similar Profiles
Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 1 Active
-
BRUM TTW 17878:Body-woRn Ultrasound sensing platform for advanced non-invasive patient Monitoring in peri-operative and critical care
Mischi, M., Suriani, I., Dinis Fernandes, C., de Boer, E. & van der Hagen, D.
15/02/20 → 31/12/25
Project: Research direct
-
Deep learning for prostate and zonal segmentation on a multicenter MRI dataset
Dinis Fernandes, C., Turco, S., Mischi, M. & Wijkstra, H., 2021.Research output: Contribution to conference › Poster
-
Radiomic combination of spatial and temporal features extracted from DCE-MRI for prostate cancer detection
Dinis Fernandes, C., Mischi, M., Wijkstra, H., Barentsz, J. O., Heijmink, S. W. T. P. J. & Turco, S., 9 Dec 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). Institute of Electrical and Electronics Engineers, p. 3153-3156 4 p. 9630015Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
-
Brain hyperintensities in magnetic resonance imaging of patients with mild acute focal neurology
Varsou, O., Turnbull, K., Stringer, M. S., Fernandes, C. D., Murray, A. D., Schwarzbauer, C. & Macleod, M. J., 1 Jun 2020, In: Neurological Sciences. 41, 6, p. 1633-1635 3 p.Research output: Contribution to journal › Article › Academic › peer-review
Open Access -
Scanning Conditions in Functional Connectivity Magnetic Resonance Imaging: How to Standardise Resting-State for Optimal Data Acquisition and Visualisation?
Dinis Fernandes, C., Varsou, O., Stringer, M., Macleod, M. J. & Schwarzbauer, C., 2020, Advances in Experimental Medicine and Biology. Springer Gabler, p. 35-52 18 p. (Advances in Experimental Medicine and Biology; vol. 1235).Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review
4 Citations (Scopus) -
Multiparametric MRI Tumor Probability Model for the Detection of Locally Recurrent Prostate Cancer After Radiation Therapy: Pathologic Validation and Comparison With Manual Tumor Delineations
Dinis Fernandes, C., Simões, R., Ghobadi, G., Heijmink, S. W. T. P. J., Schoots, I. G., de Jong, J., Walraven, I., van der Poel, H. G., van Houdt, P. J., Smolic, M., Pos, F. J. & van der Heide, U. A., 1 Sept 2019, In: International Journal of Radiation Oncology Biology Physics. 105, 1, p. 140-148 9 p.Research output: Contribution to journal › Article › Academic › peer-review
Open Access3 Citations (Scopus)