Technohal

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

Assistant Professor
TNW-MID-MD&I
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

2024

Patient perspectives on the use of artificial intelligence in prostate cancer diagnosis on MRI (2024)European radiology (E-pub ahead of print/First online). 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-yPOP-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.2024.111470Assessing deep learning reconstruction for faster prostate MRI: visual vs. diagnostic performance metrics (2024)European radiology (E-pub ahead of print/First online). 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-yPosition- 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/s41747-023-00372-7Position-dependent vascular imaging with tiltable MRI (2023)[Thesis › PhD Thesis - Research UT, graduation UT]. University of Twente. van Zandwijk, J. K.https://doi.org/10.3990/1.9789036558839Recent Developments in Speeding up Prostate MRI (2023)Journal of magnetic resonance imaging (E-pub ahead of print/First online). Mir, N., Fransen, S. J., Wolterink, J. M., Fütterer, J. J. & Simonis, F. F. J.https://doi.org/10.1002/jmri.29108Assessment of daily variation in pelvic anatomy in women with and without pelvic organ prolapse (2023)International Urogynecology Journal, 34(10), 2407-2414. van der Steen, A., Morsinkhof, L. M., Chen, L., de Vries, M., Simonis, F. F. J. & Grob, A. T. M.https://doi.org/10.1007/s00192-023-05550-0

Research profiles

Courses academic year 2024/2025

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses academic year 2023/2024

Address

University of Twente

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

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