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Pages
Posts
MOMENTUM project awarded funding by NWO Open Technology Program
Published:
I am excited to share that we were awarded funding through NWO’s Open Technology Programme four our MOMENTUM project, of which I am the main applicant and project leader. This grant will support our research into nanobubble-enhanced ultrasound imaging for improved cancer diagnostics, enabling us to deepen collaboration with clinical partners and accelerate translation of advanced imaging technology into healthcare practice.
One MinuTU/e: AI for prostate cancer diagnostics
Published:
In this short video for the series “One MinuTU/e”, I pitch our research on prostate cancer imaging. If would like to support our research, please consider making a donation to the Universiteit Fonds. More videos of this series can be found here.
Collaboration as the key to making impact
Published:
In this interview for the series “Brightful Minds” by 4TU, I discuss how collaboration is key to creating real impact in biomedical engineering. I highlight the importance of working closely with hospitals and industry to ensure that research in medical imaging and patient monitoring addresses clinical needs and can be translated into practice.
AI helps search for prostate cancer
Published:
In this interview “AI helps search for prostate cancer,” I discuss how integrating artificial intelligence with diverse clinical data can give physicians deeper insights when diagnosing tumors, improving detection of prostate cancer by combining imaging, biomarkers, and quantitative models.
portfolio
Pharmacokinetic modeling in cancer: from functional to molecular imaging of angiogenesis
In this line of research, we propose quantitative assessment of cancer angiogenesis by combining dynamic contrast-enhanced imaging with pharmacokinetic modeling of the contrast agent kinetics. This enables the extraction of interpretable parameters that can be used for cancer diagnostics. 
Prediction of patient deterioration
Predicting patient deterioration from perioperative data, validating early warning models, and evaluating continuous ward monitoring.
Multiparametric MRI and radiogenomics in prostate cancer
Extracting quantitative parameters from multiparametric MRI and combining them by machine learning for prostate cancer detection and characterization, with radiogenomics linking imaging features to tumor biology.
Quantitative contrast-enhanced ultrasound
Quantitative contrast-enhanced ultrasound for perfusion and microvascular imaging, motion compensation, and lesion characterization.
Modeling and analysis of patient mechanical ventilation
Models and signal analysis for respiratory effort estimation, respiratory system identification, and automatic patient–ventilator asynchrony detection.
Nanobubble-based contrast-enhanced ultrasound
Pharmacokinetic modelling of experimental nanobubble contrast agents, including the second-wave phenomenon and PSMA-targeted imaging.
Hemodynamic monitoring
Cuff-based hemodynamic measurements, arterial compliance modelling, and local pulse wave velocity estimation by ultrafast ultrasound.
Multiparametric ultrasound for prostate cancer imaging
Combining quantitative information about tissue structure, blood flow, and mechanical properties to support prostate cancer detection and localization.
research
Cancer imaging
Quantitative ultrasound and MRI for cancer characterization, combining physical modelling, machine learning, and molecular imaging.
Perioperative monitoring
Physiological modelling and machine learning for deterioration prediction, patient–ventilator interaction, and hemodynamic monitoring in perioperative and intensive care.
teaching
Courses
Master courses, Eindhoven University of Technology, Electrical Engineering, 2025
I am responsible teacher for the course Statistical Signal Processing (5CTA0) and guest lecturer for the course Technology for Care and Cure (5LSN0).
Student projects
Bachelor and master projects, Eindhoven University of Technology, Electrical Engineering, 2025
Are you a student interested in a project on signal or image processing for biomedical applications? We have student’s projects (bachelor end projects, master internships and theses, erasmus exchanges) available in several application areas.
