Technohal

dr.ir. F.F.J. Simonis (Frank)

Assistant Professor
TNW-BIS-MDI
Technohal 2180
f.f.j.simonis@utwente.nl
+31534892944
Business card

Frank Simonis studied Biomedical Engineering at the Eindhoven University of Technology (TU/e). He graduated from the TU/e in 2011 on research in the group of professor Nicolay focused on a novel method to obtain T2 maps of the mouse heart. He started his PhD at the University Medical Centre of Utrecht under professor Jan Lagendijk with supervision of dr. Nico van den Berg. In his PhD project the body's physiological response to local RF heating caused by MR measurements was investigated. The capacity of the body to regulate temperature at a local scale (e.g. by elevation of local blood flow) is largely unknown and was a main topic of his research. Next to that, he did research on improving the estimation of the arterial input function in dynamic contrast enhanced MRI.

He currently is assistant professor in the Magnetic Detection and Imaging group where he mainly teaches courses covering MRI in the Technical Medicine and Biomedical Engineering programs. His research within the group focusses on new applications of low-field MRI (≤1.5T).

Expertise

  • Medicine and Dentistry

    • Magnetic Resonance Imaging
    • Diagnosis
    • Patient
    • Pelvic Organ Prolapse
    • Position
    • Learning
    • Total Knee Arthroplasty

  • Nursing and Health Professions

    • Nuclear Magnetic Resonance Imaging

Organisations

Publications

2025

The scientific evidence of commercial AI products for MRI acceleration: a systematic review (2025)European radiology (E-pub ahead of print/First online). Fransen, S. J., Roest, C., Simonis, F. F. J., Yakar, D. & Kwee, T. C.https://doi.org/10.1007/s00330-025-11423-5Patient perspectives on the use of artificial intelligence in prostate cancer diagnosis on MRI (2025)European radiology, 35(2), 769–775. Fransen, S. J., Kwee, T. C., Rouw, D., Roest, C., van Lohuizen, Q. Y., Simonis, F. F. J., van Leeuwen, P. J., Heijmink, S., Ongena, Y. P., Haan, M. & Yakar, D.https://doi.org/10.1007/s00330-024-11012-y

2024

Analysing the support mechanisms of the vaginal ring pessary on supine and upright MRI (2024)Scientific reports, 14(1). Article 30951. van den Noort, F., de Alba Alvarez, I., van der Steen, A., Smelt, A. D., Simonis, F. F. J. & Grob, A. T. M.https://doi.org/10.1038/s41598-024-81985-9Assessing deep learning reconstruction for faster prostate MRI: visual vs. diagnostic performance metrics (2024)European radiology, 34, 7364-7372. van Lohuizen, Q., Roest, C., Simonis, F. F. J., Fransen, S. J., Kwee, T. C., Yakar, D. & Huisman, H.https://doi.org/10.1007/s00330-024-10771-yRecent Developments in Speeding up Prostate MRI (2024)Journal of magnetic resonance imaging, 60(3), 813-826. Mir, N., Fransen, S. J., Wolterink, J. M., Fütterer, J. J. & Simonis, F. F. J.https://doi.org/10.1002/jmri.29108POP-Q Versus Upright MRI Distance Measurements: A Prospective Study in Patients with POP (2024)International Urogynecology Journal, 35(6), 1255-1261. van der Steen, A., Jochem, K. Y., Consten, E. C. J., Simonis, F. F. J. & Grob, A. T. M.https://doi.org/10.1007/s00192-024-05802-7Using deep learning to optimize the prostate MRI protocol by assessing the diagnostic efficacy of MRI sequences (2024)European journal of radiology, 175. Article 111470. Fransen, S. J., Roest, C., Van Lohuizen, Q. Y., Bosma, J. S., Simonis, F. F. J., Kwee, T. C., Yakar, D. & Huisman, H.https://doi.org/10.1016/j.ejrad.2024.111470Position- and posture-dependent vascular imaging—a scoping review (2024)European radiology, 34(4), 2334–2351. van Zandwijk, J. K., Simmering, J. A., Schuurmann, R. C. L., Simonis, F. F. J., ten Haken, B., de Vries, J. P. P. M. & Geelkerken, R. H.https://doi.org/10.1007/s00330-023-10154-9

2023

Endograft position and endoleak detection after endovascular abdominal aortic repair with low-field tiltable MRI: a feasibility study (2023)European radiology experimental, 7(1). Article 82. van Zandwijk, J. K., Schuurmann, R. C. L., ten Haken, B., Stassen, C. M., Geelkerken, R. H., de Vries, J. P. P. M. & Simonis, F. F. J.https://doi.org/10.1186/s41747-023-00395-0Complexities of deep learning-based undersampled MR image reconstruction (2023)European radiology experimental, 7(1). Article 58. Noordman, C. R., Yakar, D., Bosma, J., Simonis, F. F. J. & Huisman, H.https://doi.org/10.1186/s41747-023-00372-7

Research profiles

Address

University of Twente

Technohal (building no. 18), room 2180
Hallenweg 5
7522 NH Enschede
Netherlands

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