Simona Turco

Simona Turco

Assistant professor at the Biomedical Diagnostics lab, Signal Processing Systems group, Electrical Engineering

Publications

You can also find my articles on my Google Scholar profile.

Data

  1. Simulated data from "A Model-based Approach to Generating Annotated Pressure Support Waveforms". https://doi.org/10.4121/81220350-0f3d-4e0a-86cf-28c904a1cb09.v1
  2. Models, datasets, and raw results of "Measurement of sweat gland activity by discrete sweat sensing, statistics, and deep learning" https://doi.org/10.4121/f62008b2-4c3a-42c6-bf3a-c55e37a9598c

Patents

  1. X. Li, M. Mischi, and S. Turco, "Systems and Methods for Estimating Nonlinear Shear-Wave of Soft-Tissue", Patent TUOE.P2025P1/00648954. 2025.
  2. M. Mischi, S. Turco, and A. Janssen, "Method and System for Identifying Tumor Tissue using MRI time-intensity curves to determine characteristics of contrast agents," Patent TUE-162/PROV, 2013.

Books and book chapters

  1. F. I. Kandi, C. Dinis Fernandes, D.L. van den Kroonenberg, A.W. Postema, J. Oddens, H. Wijkstra, S. Turco, M. Mischi "Contrast Ultrasound Dispersion Imaging (CUDI)" in Atlas of the ultrasound in Urology, Andrology and Nefrology, Martino and Galosi, SPRINGER, in press. (Book chapter)
  2. S. Turco, P.Chen, A. El Kaffas, A. Lyshchik, M. Mischi, “Ultrasound contrast agents: Microvascular characterization” in Innovative Ultrasound Imaging Techniques: Biomedical Applications, L. Bridal, Ed. ISTE Wiley: Encyclopaedia of Sciences (chapter), 2024. (Book chapter)
  3. R. Barr, S. Turco, and H. Wijkstra, “Prostate: malignant lesions” in Specialty Imaging: Fundamentals of CEUS, A. Lyshchik, Ed., ed: Elsevier, 2019 (Book chapter).
  4. Mischi, M., Turco, S., Soliman, O. I., ten Cate, F. J., Wijkstra, H., & Schoots, I. (2018). Quantification of contrast kinetics in clinical imaging. Springer International Publishing. (Book)

Journal papers

  1. Wang, T., Zhang, Y., Chen, J., Chen, P., Kandi, F., Yao, J., Wu, Q., Turco, S., Mischi, M. and Huang, P., 2025. Ultrasound Localization Microscopy in Identifying High-Risk Carotid Plaque Using Low-Frame-Rate Ultrasound Imaging. Ultrasound in Medicine & Biology. 10.1016/j.ultrasmedbio.2025.08.030
  2. Bakkes, T.H., Dekker, A.J.D.B., van der Stam, J.A., Kaymak, U., Mischi, M., Bouwman, R.A. and Turco, S., 2025. Validation of the advanced alert monitor in a Dutch hospital using local optimization and refinement of the outcome definition. International Journal of Medical Informatics, 201, p.105930. 10.1016/j.ijmedinf.2025.105930
  3. Li, X., Delberghe, F., Turco, S., Mills, D., Wallace, K., Valvano, G., Zwart, W., Forsberg, F., van den Kroonenberg, D.L., Wijkstra, H. and Mischi, M., 2025. Three-Dimensional Shear-Wave Viscoelastographic Estimation by System Identification for Prostate Cancer Localization. Ultrasound in Medicine & Biology. 10.1016/j.ultrasmedbio.2025.07.025
  4. Suriani, I., Barbagini, A., De Boer, E.C., Turco, S., Lau, K.D., Van Houte, J., Muehlsteff, J., Bouwman, R.A. and Mischi, M., 2025. Single-measurement local pulse wave velocity estimation in the carotid artery using pulsed wave Doppler ultrasound waveform indices. IEEE Transactions on Instrumentation and Measurement. 10.1109/TIM.2025.3571080
  5. Oei, S. P., T. H. G. F. Bakkes, M. Mischi, R. A. Bouwman, R. J. G. van Sloun, and S. Turco. "Artificial intelligence in clinical decision support and the prediction of adverse events." Frontiers in Digital Health 7 (2025): 1403047. 10.3389/fdgth.2025.1403047
  6. Chen, P., Turco, S., Liu, Z., Widdershoven, C., Oddens, J., Wijkstra, H., Mischi, M. and Zondervan, P., 2025. Contrast-ultrasound dispersion imaging for renal cell carcinoma diagnostics. The Ultrasound Journal, 17(1), p.23. 10.1186/s13089-025-00423-7
  7. J.R. Haakma, E. Peri, S. Turco, E. Pelssers, J.M.J. den Toonder, M. Mischi, "Estimation of the Number of Active Sweat Glands Through Discrete Sweat Sensing",Sensors 2024, 24(22), 7187 10.3390/s24227187
  8. Bakkes, T.H., Mestrom, E.H., Ourahou, N., Kaymak, U., de Andrade Serra, P.J., Mischi, M., Bouwman, A.R. and Turco, S., 2024. Predictive modeling of perioperative patient deterioration: combining unanticipated ICU admissions and mortality for improved risk prediction. Perioperative Medicine, 13(1), p.66. (2024) 10.1186/s13741-024-00420-9
  9. Jager, A., Oddens, J.R., Postema, A.W., Miclea, R.L., Schoots, I.G., Nooijen, P.G., van der Linden, H., Barentsz, J.O., Heijmink, S.W., Wijkstra, H. Mischi, M., and Turco, S. 2024. Is There an Added Value of Quantitative DCE-MRI by Magnetic Resonance Dispersion Imaging for Prostate Cancer Diagnosis?. Cancers, 16(13), p.2431. (2024) 10.3390/cancers16132431
  10. Chen, P., Turco, S., Wang, Y., Jager, A., Daures, G., Wijkstra, H., Zwart, W., Huang, P. and Mischi, M., 2024. Can 3D Multiparametric Ultrasound Imaging Predict Prostate Biopsy Outcome?. Ultrasound in Medicine & Biology (2024) 10.1016/j.ultrasmedbio.2024.04.007
  11. X. Li, S. Turco, R.M. Aarts, H. Wijkstra, M. Mischi, Delayed matrix pencil method for local shear wave viscoelastographic estimation, Computer Methods and Programs in Biomedicine Update, 5:100156 (2024) . 10.1016/j.cmpbup.2024.100156
  12. L. Hao, T.H.G.F. Bakkes, A. van Diepen, N. Chennakeshava, R.A. Bouwman, A.J.R. De Bie Dekker, P.H. Woerlee, F. Mojoli, M. Mischi, Y. Shi, S. Turco, 2024. An adversarial learning approach to generate pressure support ventilation waveforms for asynchrony detection, 250:108175 (2024). https://doi.org/10.1016/j.cmpb.2024.108175
  13. Chen, X., Li, X., Turco, S., Van Sloun, R.J. and Mischi, M., 2024. Ultrasound viscoelastography by acoustic radiation force: A state-of-the-art review. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 10.1109/TUFFC.2024.3381529
  14. Chen, C., Perera, R., Mischi, M., Kolios, M., Exner, A. and Turco, S., 2023. Quantification of extravasation and binding of PSMA-targeted nanobubbles by modelling the second-wave phenomenon. Molecular Imaging and Biology, pp.1-11. https://doi.org/10.1007/s11307-023-01891-w
  15. Chen, C., Turco, S., Kapetas, P., Mann, R., Wijkstra, H., de Korte, C. and Mischi, M., 2023. Spatiotemporal analysis of contrast-enhanced ultrasound for differentiating between malignant and benign breast lesions. European radiology, pp.1-10. https://doi.org/10.1007/s00330-023-10500-x
  16. Dinis Fernandes, C., Schaap, A., Kant, J., van Houdt, P., Wijkstra, H., Bekers, E., Linder, S., Bergman, A. M., van der Heide, U., Mischi, M., Zwart, W., Eduati, F., & Turco, S. (2023). Radiogenomics analysis linking multiparametric MRI and transcriptomics in prostate cancer. Cancers, 15(12), 3074. https://doi.org/10.3390/cancers15123074
  17. Mestrom, E. H. J., Bakkes, T. H. G. F., Ourahou, N., Korsten, H. H. M., Serra, P. de A., Montenij, L. J., Mischi, M., Turco, S., & Bouwman, R. A. (2023). Prediction of postoperative patient deterioration and unanticipated intensive care unit admission using perioperative factors. PloS One, 18(8), e0286818. https://doi.org/10.1371/journal.pone.0286818
  18. Van Diepen, A., Bakkes, T. H. G. F., De Bie, A. J. R., Turco, S., Bouwman, R. A., Woerlee, P. H., & Mischi, M. (2023). Evaluation of the accuracy of established patient inspiratory effort estimation methods during mechanical support ventilation. Heliyon, 9. https://doi.org/10.1016/j.heliyon.2023.e13610
  19. Bogatu, L., Turco, S., Mischi, M., Schmitt, L., Woerlee, P., Bezemer, R., Bouwman, A. R., Korsten, E. H. H. M., & Muehlsteff, J. (2023). New hemodynamic parameters in Peri-operative and critical care-challenges in translation. Sensors (Basel, Switzerland), 23(4). https://doi.org/10.3390/s23042226
  20. Bakkes, T., van Diepen, A., De Bie, A., Montenij, L., Mojoli, F., Bouwman, A., Mischi, M., Woerlee, P., & Turco, S. (2023). Automated detection and classification of patient-ventilator asynchrony by means of machine learning and simulated data. Computer Methods and Programs in Biomedicine, 230(107333), 107333. https://doi.org/10.1016/j.cmpb.2022.107333
  21. Chen, C., Perera, R., Kolios, M. C., Wijkstra, H., Exner, A. A., Mischi, M., & Turco, S. (2023). Pharmacokinetic modeling of the second-wave phenomenon in nanobubble-based contrast-enhanced ultrasound. IEEE Transactions on Bio-Medical Engineering, 70(1), 42–54. https://doi.org/10.1109/TBME.2022.3184266
  22. Tiyarattanachai, T., Turco, S., Eisenbrey, J. R., Wessner, C. E., Medellin-Kowalewski, A., Wilson, S., Lyshchik, A., Kamaya, A., & Kaffas, A. E. (2022). A comprehensive motion compensation method for in-plane and out-of-plane motion in dynamic contrast-enhanced ultrasound of focal liver lesions. Ultrasound in Medicine & Biology, 48(11), 2217–2228. https://doi.org/10.1016/j.ultrasmedbio.2022.06.007
  23. Chen, C., Perera, R., Kolios, M. C., Wijkstra, H., Exner, A. A., Mischi, M., & Turco, S. (2022). The unique second wave phenomenon in contrast enhanced ultrasound imaging with nanobubbles. Scientific Reports, 12(1), 13619. https://doi.org/10.1038/s41598-022-17756-1
  24. van Diepen, A., Bakkes, T. H. G. F., De Bie, A. J. R., Turco, S., Bouwman, R. A., Woerlee, P. H., & Mischi, M. (2022). A model-based approach to generating annotated pressure support waveforms. Journal of Clinical Monitoring and Computing, 36(6), 1739–1752. https://doi.org/10.1007/s10877-022-00822-4
  25. Turco, S., Tiyarattanachai, T., Ebrahimkheil, K., Eisenbrey, J., Kamaya, A., Mischi, M., Lyshchik, A., & Kaffas, A. E. (2022). Interpretable machine learning for characterization of focal liver lesions by contrast-enhanced ultrasound”. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. https://doi.org/10.1109/TUFFC.2022.3161719
  26. Bogatu, L., Turco, S., Mischi, M., Schmitt, L., Woerlee, P., Bouwman, R. A., Korsten, E. H. H. M., & Muehlsteff, J. (2022). Air cuff transducer design for occlusion-based hemodynamic measurements—an experimental and simulation study. IEEE Transactions on Instrumentation and Measurement, 71, 1–9. https://doi.org/10.1109/tim.2022.3193980
  27. Chen, C., Perera, R., Mischi, M., Exner, A., & Turco, S. (2022). Pharmacokinetic modeling of PSMA-targeted Nanobubbles for prostate cancer imaging: pre-clinical validation in subcutaneous mouse tumors”. Ultrasound in Medicine Biology. https://doi.org/10.1002/mp.15962
  28. Chen, P., Pollet, A., Panfilova, A., Zhou, M., Turco, S., Toonder, J., & Mischi, M. (n.d.). "Acoustic characterization of tissue-mimicking materials for ultrasound perfusion imaging research”. Ultrasound in Medicine and Biology, 48(1). https://doi.org/10.1016/j.ultrasmedbio.2021.09.004
  29. Bogatu, L. I., Turco, S., Mischi, M., Schmitt, L., Woerlee, P., Bresch, E., Noordergraaf, G. J., Paulussen, I., Bouwman, A., Korsten, H. H. M., & Muehlsteff, J. (2021). Modulation of pulse propagation and blood flow via cuff inflation-new distal insights. Sensors (Basel, Switzerland), 21(16). https://doi.org/10.3390/s21165593
  30. Bogatu, L., Turco, S., Mischi, M., Woerlee, P., Bouwman, A., & Korsten, E. (2020). "A modelling framework for assessment of arterial compliance by fusion of oscillometry and pulse wave velocity information”. Computer Methods and Programs in Biomedicine. https://doi:10.1016/j.cmpb.2020.105492
  31. Bogatu, L., Turco, S., Mischi, M., & Muehlsteff, P. (2020). "An Experimental Study on the Blood Pressure Cuff as a Transducer for Oscillometric Blood Pressure Measurements”. IEEE Transactions on Instrumentation and Measurement. https://doi:10.1109/TIM.2020.3023218
  32. Chen, P., Van Sloun, R., Turco, S., Wijkstra, H., Filomena, D., Agati, L., Houthuizen, P., & Mischi, M. (2020). "Blood flow patterns estimation in the left ventricle with low-rate 2D and 3D dynamic contrast-enhanced ultrasound”. Computer Methods and Programs in Biomedicine. https://doi:10.1016/j.cmpb.2020.105810
  33. Turco, S., Frinking, P., Wildeboer, R., Arditi, M., Wijkstra, H., Lindner, J.R. and Mischi, M., 2020. Contrast-enhanced ultrasound quantification: from kinetic modeling to machine learning. Ultrasound in medicine & biology, 46(3), pp.518-543. https://doi.org/10.1016/j.ultrasmedbio.2019.11.008
  34. Turco, S., El Kaffas, A., Zhou, J., Lutz, A. M., Wijkstra, H., Willmann, J. K., & Mischi, M. (2019). Pharmacokinetic modeling of targeted ultrasound contrast agents for quantitative assessment of anti-angiogenic therapy: A longitudinal case-control study in colon cancer. Molecular Imaging and Biology: MIB: The Official Publication of the Academy of Molecular Imaging, 21(4), 633–643. https://doi.org/10.1007/s11307-018-1274-z
  35. Turco, S., Lavini, C., & Heijmink, S. (2018). Evaluation of magnetic-resonance dispersion imaging for improved prostate cancer diagnosis through a multicenter study”. American Journal of Roengtenology, 211(5). https://doi.org/10.2214/AJR.17.19215
  36. Turco, Simona, Tardy, I., Frinking, P., Wijkstra, H., & Mischi, M. (2017). Quantitative ultrasound molecular imaging by modeling the binding kinetics of targeted contrast agent. Physics in Medicine and Biology, 62(6), 2449–2464. https://doi.org/10.1088/1361-6560/aa5e9a
  37. Turco, S., Wijkstra, H., & Mischi, M. (2016). Mathematical models of contrast transport kinetics for cancer diagnostic imaging: A review. IEEE Reviews in Biomedical Engineering, 9, 121–147. https://doi.org/10.1109/rbme.2016.2583541
  38. Turco, S., Janssen, A. J. E. M., Lavini, C., de la Rosette, J. J., Wijkstra, H., & Mischi, M. (2016). Time-efficient estimation of the magnetic resonance dispersion model parameters for quantitative assessment of angiogenesis. Biomedical Signal Processing and Control, 26, 23–33. https://doi.org/10.1016/j.bspc.2015.11.006
  39. Mischi, M., Turco, S., Lavini, C., Kompatsiari, K., de la Rosette, J. J. M. C. H., Breeuwer, M., & Wijkstra, H. (2014). Magnetic resonance dispersion imaging for localization of angiogenesis and cancer growth. Investigative Radiology, 49(8), 561–569. https://doi.org/10.1097/RLI.0000000000000056
  40. Varghese, B., Turco, S., Bonito, V., & Verhagen, R. (2013). Effects of polarization and apodization on laser induced optical breakdown threshold. Optics Express, 21(15), 18304–18310. https://doi.org/10.1364/OE.21.018304
  41. Carpi, F., Frediani, G., Turco, S., & De Rossi, D. (2011). Bioinspired tunable lens with muscle-like electroactive elastomers. Advanced Functional Materials, 21(21), 4152–4158. https://doi.org/10.1002/adfm.20110125

Conferences (selected)

Dissertations