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Personal profile


If a picture is worth a thousand words, what is a model worth?

Research profile

Simona Turco is an assistant professor at the Signal Processing Systems group (department of Electrical Engineering), and member of the Biomdical Diagnostics (BM/d) research lab and of the Eindhoven MedTech Innovation Center (e/MTIC). Her research focuses on quantitative model-driven analysis of medical images and biosignals, with focus on oncology and perioperative care. As cancer growth and aggressiveness relate to angiogenesis, i.e., the formation of chaotic network of leaky microvessels, her research in cancer diagnostics is devoted to developing novel imaging solutions for assessment of angiogenesis. To go beyond structural imaging, ultrasound and MRI dynamic imaging with injection of contrast agents are used to extract structural, functional, and molecular information on angiogenic vasculature at different spatial and temporal scales. In the context of perioperative care, Turco's research focuses on model-based analysis of biosignals for accurate prognosis and timely identification of patients at risk. By combining model-based feature extraction with data-driven approaches for optimal feature selection, she aims at developing effective risk prediction models to support clinical decision making. In general, Turco aims at facilitating the translation of research, driven by industrial and clinical needs, through tight collaborations with top healthcare partners.

Academic background

Simona Turco obtained her MSc in Biomedical Engineering from the University of Pisa (Italy) in 2012 summa cum laude. In 2015, she obtained a professional doctorate in engineering (PDEng) in Healthcare system design from the Stan Ackermans Institute at University of Technology (TU/e). Here, she also completed her Phd in 2018, with thesis entitled “Pharmacokinetic modeling in cancer: from functional to molecular imaging of angiogenesis”. Since then, she is a post-doctoral researcher at the Biomedical Diagnostics (BM/d) research lab, focusing on quantitative model-driven analysis of bio-signals.

Education and Teaching

- Statistical signal processing

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  • 8 Similar Profiles
Molecular Imaging Medicine & Life Sciences
Microbubbles Medicine & Life Sciences
Prostatic Neoplasms Medicine & Life Sciences
Ultrasonography Medicine & Life Sciences
Contrast Media Medicine & Life Sciences
Neoplasms Medicine & Life Sciences
Pharmacokinetics Medicine & Life Sciences
Magnetic Resonance Imaging Medicine & Life Sciences

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Research Output 2013 2019

Clinical evaluation of dispersion MRI for prostate cancer localization: a multicenter study

Turco, S., Lavini, C., Heijmink, S., Barentsz, J., Wijkstra, H. & Mischi, M., 2019. 1 p.

Research output: Contribution to conferencePosterAcademic

Open Access
Multicenter Studies
Prostatic Neoplasms
Magnetic Resonance Imaging

Machine learning for classification of uterine activity outside pregnancy

Bakkes, T., Sammali, F., Kuijsters, N., Turco, S., Rabotti, C., Schoot, B. & Mischi, M., 7 Oct 2019, Engineering in Medicine and Biology Society (EMBC), Annual International Conference of the IEEE . Piscataway: IEEE EMBS, p. 2161-2164 8857374

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Learning systems
Support vector machines

Pharmacokinetic analysis of targeted nanonubbles for quantitative assessment of PSMA expression in prostate cancer

Turco, S., Perera, R. A., Wijkstra, H., Exner, A. A. & Mischi, M., 2019. 4 p.

Research output: Contribution to conferenceAbstractAcademic

Open Access
Prostatic Neoplasms
7 Downloads (Pure)

Pharmacokinetic modeling of targeted ultrasound contrast agents for quantitative assessment of anti-angiogenic therapy: a longitudinal case-control study in colon cancer

Turco, S., El Kaffas, A., Zhou, J., Lutz, A. M., Wijkstra, H., Willmann, J. K. & Mischi, M., Sep 2019, In : Molecular Imaging and Biology. 21, 4, p. 633-643 11 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
Colonic Neoplasms
Contrast Media
Case-Control Studies
Molecular Imaging
1 Downloads (Pure)

Dynamic velocity vector and relative pressure estimation in the left ventricle with dynamic contrast-enhanced ultrasound of low frame rates

Chen, P., van Sloun, R. J. G., Turco, S., Wijkstra, H., Houthuizen, P. & Mischi, M., 16 Aug 2018, MeMeA 2018 - 2018 IEEE International Symposium on Medical Measurements and Applications, Proceedings. Piscataway: Institute of Electrical and Electronics Engineers, 6 p. 8438752

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Cardiac resynchronization therapy
Cardiac Resynchronization Therapy
Heart Ventricles
blood flow


Best paper published by IEEE-EMBS in 2015-16, 3rd place

Simona Turco (Recipient), 2017

Prize: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific

Biomedical Engineering
Contrast Media
Theoretical Models

Best poster award (2nd place) at the Joint Meeting of the IEEEEMBS Benelux Chapter, Bruxelles (Belgium), 2017

Simona Turco (Recipient), 1 Dec 2017

Prize: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific


Best Poster Award at the 24th European symposium on Ultrasound Contrast Imaging

Simona Turco (Recipient), 18 Jan 2019

Prize: OtherCareer, activity or publication related prizes (lifetime, best paper, poster etc.)Scientific



Statistical signal processing

1/09/18 → …