Technohal

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

Universitair docent
TNW-BIS-M3I
Technohal 2180
f.f.j.simonis@utwente.nl
+31534892944
Visitekaartje

Expertises

  • Medicine and Dentistry

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

  • Nursing and Health Professions

    • Nuclear Magnetic Resonance Imaging

Organisaties

Publicaties

2025

Simulating workload reduction with an AI-based prostate cancer detection pathway using a prediction uncertainty metric (2025)European radiology (E-pub ahead of print/First online). Fransen, S. J., Bosma, J. S., van Lohuizen, Q., Roest, C., Simonis, F. F. J., Kwee, T. C., Yakar, D. & Huisman, H.https://doi.org/10.1007/s00330-025-11727-6Pelvic Organ Prolapse Quantification After Pessary Removal: The Use of Upright MRI in POP Research (2025)International Urogynecology Journal (E-pub ahead of print/First online). van der Steen, A., Simonis, F. F. J. & Grob, A. T. M.https://doi.org/10.1007/s00192-025-06182-2The influence of sacrocolporectopexy on pelvic anatomy assessed in an upright position using MRI (2025)Colorectal disease, 27(5). Article e70114. Kortman, M. C. P., Vanstiphout, J. W. P., Alhafidh, A., Simonis, F. F. J. & Grob, A. T. M.https://doi.org/10.1111/codi.70114The 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.2024.111470

Onderzoeksprofielen

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