Personal profile
Research interests
Radiology, Medical Imaging, MR-HIFU, Artificial Intelligence, Bone Metastases, Benign Gynecological Tumours
Biography
- Slotman, D. J., van Zandwijk, J. K., Simonis, F. F. J., van der Heijden, F., Geelkerken, R. H., & ten Haken, B. (2019). Automatic pelvic bone registration of low-field MRI to pre-operative 3T-MRA for vascular interventions. Poster session presented at 11th Annual ISMRM Benelux Chapter Meeting 2019, Leiden, Netherlands.
- Slotman, D. J., van Zandwijk, J. K., Simonis, F. F. J., van der Heijden, F., Geelkerken, R. H., & ten Haken, B. (2019). Automatic pelvic bone registration of low-field MRI to pre-operative 3T-MRA for vascular interventions. Abstract from 27th ISMRM Annual Meeting & Exhibition 2019, Montréal, Canada.
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Marcia M.T.J. Bartels, Inez M. Verpalen, Cyril J. Ferrer, Derk J. Slotman, Erik C.J. Phernambucq, Joost J.C. Verhoeff, Wietse S.C. Eppinga, Manon N.G.J.A. Braat, Rolf D. van den Hoed, Miranda van 't Veer-Ten Kate, Erwin de Boer, Harry R. Naber, Ingrid M. Nijholt, Lambertus W. Bartels, Clemens Bos, Chrit T.W. Moonen, Martijn F. Boomsma, Helena M. Verkooijen. Combining radiotherapy and focused ultrasound for pain palliation of cancer induced bone pain; a stage I/IIa study according to the IDEAL framework. Clinical and Translational Radiation Oncology,Volume 27,2021,Pages 57-63. ISSN 2405-6308,https://doi.org/10.1016/j.ctro.2021.01.005.
- Marijn van Stralen, Britt YM van der Kolk, Frank Zijlstra, Mateusz C Florkow, Elco Oost, Jorik Slotman, Jochen AC van Osch, Martin Podlogar, Jeroen Hendrikse, Pim de Jong, Rene M Castelein, Max A Viergever, Mario Maas, Martijn F Boomsma, and Peter R Seevinck. BoneMRI of the cervical spine: Deep learning-based radiodensity contrast generation for selective visualization of osseous structures. Abstract from 27th ISMRM Annual Meeting & Exhibition 2019, Montréal, Canada.
- van der Kolk B, van Stralen M, Podlogar M, Zijlstra F, Florkow M, Slotman D, et al. Reconstruction of Osseous Structures in MRI scans of the Cervical Spine with BoneMRI: A Quantitative Analysis. ASNR 57th Annual Meeting; 2018.
Education/Academic qualification
Technical Medicine MSc., University of Twente
1 Feb 2017 → 1 Oct 2020
Award Date: 1 Oct 2020
Collaborations and top research areas from the last five years
Research output
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Eligibility for Magnetic Resonance-Guided High Intensity Focused Ultrasound in Patients Referred for Radiotherapy on Painful Nonspinal Bone Metastases
Hovenier, R., Slotman, D. J., Gasperini, C., Zamagni, A., Huhtala, M., Braat, M. N. G. J. A., Eppinga, W. S. C., Kasperts, N., Phernambucq, E. C. J., Boomsma, M. F., Nijholt, I. M., Sequeiros, R. B., Bazzocchi, A., Morganti, A. G., Moonen, C. T. W., Bos, C., Verkooijen, H. M. & the FURTHER Consortium, Jan 2025, In: International Journal of Clinical Practice. 2025, 1, 11 p., 4962457.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile3 Downloads (Pure) -
Technical and clinical developments in the MR-HIFU treatment of uterine fibroids and bone metastases
Slotman, D. J., 11 Jun 2025, Utrecht University. 277 p.Research output: Thesis › Doctoral thesis 1 (Research UU / Graduation UU)
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Understanding different aspects of blood supply of uterine fibroids: an overview of ultrasound and magnetic resonance imaging techniques
Slotman, D. J., Frijlingh, M., Juffermans, L. J. M., Bartels, L. W., Moonen, C. T. W., Bosch van den, T., Boomsma, M. F. & Huirne, J. A. F., 16 Sept 2025, In: Insights into Imaging. 16, 1, 192.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile7 Downloads (Pure) -
Development and validation of a deep learning-based method for automatic measurement of uterus, fibroid, and ablated volume in MRI after MR-HIFU treatment of uterine fibroids
Slotman, D. J., Bartels, L. W., Nijholt, I. M., Huirne, J. A. F., Moonen, C. T. W. & Boomsma, M. F., Sept 2024, In: European Journal of Radiology. 178, 10 p., 111602.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile -
External validation of the RSNA 2020 pulmonary embolism detection challenge winning deep learning algorithm
Langius-Wiffen, E., Slotman, D. J., Groeneveld, J., AC van Osch, J., Nijholt, I. M., de Boer, E., Nijboer-Oosterveld, J., Veldhuis, W. B., de Jong, P. A. & Boomsma, M. F., Apr 2024, In: European Journal of Radiology. 173, 6 p., 111361.Research output: Contribution to journal › Article › Academic › peer-review
Open AccessFile