Publications

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

Data

• Simulated data from A Model-based Approach to Generating Annotated Pressure Support Waveforms. https://doi.org/10.4121/81220350-0f3d-4e0a-86cf-28c904a1cb09.v1

Books and book chapters

• 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)
• 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)
• R. Barr, S. Turco, and H. Wijkstra, “Prostate: malignant lesions” in Specialty Imaging: Fundamentals of CEUS, A. Lyshchik, Ed., ed: Elsevier, 2019 (Book chapter).
• 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

• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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
• 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)

• Kandi F. I., de Bock E., Dinis Fernandes C., Turco S., Juffermans L., Huirne J., Mischi M., “Assessing Dispersion Heterogeneity in Adenomyosis Using Quantitative Contrast-Enhanced Ultrasound”. in 2024 IEEE Ultrasonics, Ferroelectric, and Frequency Control Joint Symposium (UFFC-JS).
• Li X., Delberghe F., Turco S., Mills D. M., Wallace K., Valvano G., Zwart W., Wijkstra H., Mischi M., “Three-Dimensional Local Shear-Wave Viscoelastographic Estimation by System Identification for Prostate Cancer Localization,” in 2024 IEEE Ultrasonics, Ferroelectric, and Frequency Control Joint Symposium (UFFC-JS).
• Delberghe F., Turco S., Valvano G., Zwart W., Wijkstra H., Mischi M., “Prostate Cancer Detection in Multimodal Ultrasound Imaging Using 3D Gray-Level Cooccurrence Matrix Texture Features,” in 2024 IEEE Ultrasonics, Ferroelectric, and Frequency Control Joint Symposium (UFFC-JS).
• Haakma, J., Esselaar, E., Peri, E., Turco, S. and Mischi, M., 2024, June. Measurement of Sweat Gland Activity by Sweat Sensing and Deep Learning. In 2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (pp. 1-6). IEEE.
• van Diepen, A., Bakkes, T., Dekker, A.D.B., Bouwman, A., Woerlee, P., Turco, S. and Mischi, M., 2024, June. Model-Based Approaches for Breath-to-breath Estimation of Patient Effort during Mechanical Ventilation. In 2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (pp. 1-6). IEEE.
• Kandi, F.I., Fernandes, C.D., Turco, S., de Bock, E., Juffermans, L., Huirne, J. and Mischi, M., 2024, June. 2D Contrast-Ultrasound Dispersion Imaging of Angiogenesis in Adenomyosis: First Experimental Measurements. In 2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (pp. 1-6). IEEE.
• Li, X., Turco, S., Wijkstra, H. and Mischi, M., 2024, June. Local Density Random Walk Model Preprocessing for Local Shear Wave Viscoelastographic Estimation. In 2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (pp. 1-6). IEEE.
• Gerards, N.P., Rutten, M.C., Turco, S., Mischi, M., Bouwman, R.A., Korsten, H.H., Backx, T. and van de Vosse, F.N., 2024, June. Feasibility of Measuring Thermodilution Curve Recirculation with a Novel High-Resolution Integrated Photonic Sensor-System. In 2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (pp. 1-6). IEEE.
• Suriani, I., Barbagini, A., de Boer, E.C., Muehlsteff, J., Lau, K.D., Turco, S., Bouwman, A.R. and Mischi, M., 2024, June. Pressure-Less Local Pulse Wave Speed Estimation in the Carotid Artery Using Ultrasound-Based Velocity Waveform Indices. In 2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (pp. 1-5). IEEE.
• Bakkes, T., de Bie Dekker, A., van der Stam, J., Kaymak, U., Mischi, M., Bouwman, A. and Turco, S., 2024, June. External validation of the Advanced Alert Monitor (AAM) in a Dutch Hospital. In 2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (pp. 1-5). IEEE.
• Chen P., Turco S., Wijkstra H., Mischi M., “Structural Analysis of Dense Microvascular Networks Based on 3D Contrast-Enhanced Ultrasound Super-Localization in the Prostate,” in 2023 International Ultrasonic Symposium (IUS).
• Li X., Delberghe F., Turco S., Mills D. M., Wallace K., Valvano G., Zwart W., Wijkstra H., Mischi M., “Shear-Wave Assessment of Local Tissue Viscoelasticity by System Identification for Prostate Cancer Diagnosis: First Clinical Results,” in 2023 International Ultrasonic Symposium (IUS).
• Fernandes, C. D., Schaap, A., Kant, J., Van Houdt, P., Wijkstra, H., Van Der Heide, U., Zwart, W., Mischi, M., Eduati, F., & Turco, S. (2023). Prostate cancer risk assessment using a radiogenomic analysis. In 2023 IEEE International Symposium on Medical Measurements and Applications (MeMeA) (pp. 1–6). IEEE.
• Chen P., Pollet A., Turco S., de Vargas M., te Winkel L., den Toonder J., Wijkstra H., Mischi M., “In-vitro Investigation of the Impact of Monodispersed Microbubble Size on Contrast-Enhanced Ultrasound Super-Localization Imaging,” in 2022 International Ultrasonic Symposium (IUS).
• Chen P., Turco S., Pollet A., den Toonder J., Wijkstra H., Mischi M., “Dynamic Simulations of Ultrasound Contrast Agent Microbubble Transport Through a Mimicked Microvascular Architecture,” in 2022 International Ultrasonic Symposium (IUS).
• Bogatu, L., Hoppenbrouwers, J., Van Den Bosch, H., Turco, S., Mischi, M., Schmitt, L., Woerlee, P., Bouwman, R. A., Korsten, H. H. M., & Muehlsteff, J. (2022). On the value of MRI for improved understanding of cuff-based oscillometric measurements. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2022, 2898–2901. https://doi.org/10.1109/EMBC48229.2022.9871137
• Haakma, J., Peri, E., Turco, S., Pelssers, E., Toonder, J. D., & Mischi, M. (2022). A model for digital sweat sensing devices. 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON).
• Bogatu, L. I., Turco, S., Mischi, M., Schmitt, L., Woerlee, P., Bresch, E., Noordergraaf, G. J., Paulussen, I., Bouwman, A., Korsten, E. H., & Muehlsteff, J. (2021). Modulation of pulse travel and blood flow during cuff inflation-An experimental case study. In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 23–26). IEEE.
• Chen, P., Turco, S., Wijkstra, H., Dilo, A., Huang, P., & Mischi, M. (2021). Prostate cancer localization by 3D multiparametric contrast-ultrasound dispersion imaging and shear-wave elastography. European Urology Open Science, 33, S160. https://doi.org/10.1016/s2666-1683(21)02735-x
• Fernandes, C. D., Turco, S., Mischi, M., & Wijkstra, H. (2021). Deep learning for prostate and zonal segmentation on a multicenter MRI dataset. In 9th EAU Section of Urological Imaging.
• Bakkes, T. H. G. F., Montree, R. J. H., Mischi, M., Mojoli, F., & Turco, S. (2020). A machine learning method for automatic detection and classification of patient-ventilator asynchrony. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2020, 150–153. https://doi.org/10.1109/EMBC44109.2020.9175796
• Bogatu, L. I., Turco, S., Mischi, M., Woerlee, P., Bouwman, A., Korsten, E., & Muehlsteff, J. (2020). Method for measurement of arterial compliance by fusion of oscillometry and pulse wave velocity. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2020, 469–472. https://doi.org/10.1109/EMBC44109.2020.9175446
• Bakkes, T. H. G. F., Sammali, F., Kuijsters, N. P. M., Turco, S., Rabotti, C., Schoot, D., & Mischi, M. (2019). Machine learning for classification of uterine activity outside pregnancy. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2019, 2161–2164. https://doi.org/10.1109/EMBC.2019.8857374
• Turco, S., Perera, R. H., Wijkstra, H., Exner, A. A., & Mischi, M. (2019). Quantification of PSMA expression in prostate cancer by pharmacokinetic modeling of targeted ultrasound nanobubbles. 2019 IEEE International Ultrasonics Symposium (IUS).
• Turco, S., Tardy, I., Frinking, P., Wijkstra, H., & Mischi, M. (2017). On the validity of the first-pass binding model for quantitative ultrasound molecular imaging: Comparison between BR55 and Sonovue. 2017 IEEE International Ultrasonics Symposium (IUS).
• Turco, S., Keravnou, C., van Sloun, R. J. G., Wijkstra, H., Averkiou, M., & Mischi, M. (2016). Effects of perfusion and vascular architecture on contrast dispersion: Validation in ex-vivo porcine liver under machine perfusion. 2016 IEEE International Ultrasonics Symposium (IUS).
• Turco, S., El Kaffas, A., Zhou, J., Wijkstra, H., Willmann, J. K., & Mischi, M. (2016). Quantitative ultrasound molecular imaging for antiangiogenic therapy monitoring. 2016 IEEE International Ultrasonics Symposium (IUS).
• Turco, S., Janssen, A. J. E. M., Lavini, C., de la Rosette, J. J., Wijkstra, H., & Mischi, M. (2014). Closed-form solution of the convolution integral in the magnetic resonance dispersion model for quantitative assessment of angiogenesis. Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2014, 4272–4275. https://doi.org/10.1109/EMBC.2014.6944568
• Turco, Simona, Frinking, P. J. A., Wijkstra, H., & Mischi, M. (2015). Quantification of the binding kinetics of targeted ultrasound contrast agent for molecular imaging of cancer angiogenesis. 2015 IEEE International Ultrasonics Symposium (IUS).

Dissertations

• S. Turco, “Pharmacokinetic modeling in cancer: from functional to molecular imaging of angiogenesis”, PhD thesis, ISBN 978-90-386-4424-0 (2018)
• S. Turco, “DCE-MRI dispersion analysis for quantitative angiogenesis imaging in prostate cancer”, PDEng final report, ISBN 978-90-444-1335-9 (2015)

Patents

• 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.