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Quote

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”. Currently, she is assistant professor 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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Research Output

Contrast-enhanced ultrasound quantification: from kinetic modeling to machine learning

Turco, S., Frinking, P., Wildeboer, R., Arditi, M., Wijkstra, H., Lindner, J. R. & Mischi, M., Mar 2020, In : Ultrasound in Medicine and Biology. 46, 3, p. 518-543 26 p.

Research output: Contribution to journalReview articleAcademicpeer-review

  • 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 conferencePoster

    Open Access
    File
  • In-vitro investigation of the relationship between microvascular structure and ultrasound contrast agent dynamics

    Chen, P., Turco, S., Sloun, R. J. G. V., Pollet, A., Toonder, J. D., Wijkstra, H. & Mischi, M., Oct 2019, 2019 IEEE International Ultrasonics Symposium, IUS 2019. Piscataway: Institute of Electrical and Electronics Engineers, p. 403-406 4 p. 8926232

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

  • Machine learning for classification of uterine activity outside pregnancy

    Bakkes, T. H. G. F., Sammali, F., Kuijsters, N. P. M., Turco, S., Rabotti, C., Schoot, D. & Mischi, M., Jul 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019. Piscataway: Institute of Electrical and Electronics Engineers, p. 2161-2164 4 p. 8857374

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

  • 3 Downloads (Pure)

    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 conferenceAbstract

    Open Access
    File
  • Prizes

    Academy Van Leersum Grant

    Simona Turco (Recipient), 2019

    Prize: KNAWOtherScientific

  • 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

  • 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

  • Hanart fonds fellowship artifical intelligence in oncology

    Simona Turco (Recipient), 1 Nov 2019

    Prize: OtherFellowships & membershipsScientific

  • Courses

    Statistical signal processing

    1/09/18 → …

    Course

    Press / Media

    AI help for better diagnosis and treatment of prostate cancer

    Simona Turco

    11/12/19

    1 item of Media coverage

    Press/Media: Expert Comment