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dr.ir. F. van der Heijden (Ferdinand)

About Me

Dr Ferdinand van der Heijden, (M) Associate Professor, obtained his MSc (1981) and PhD (1992) in Electrical Engineering from the University of Twente. He is currently affiliated with the Robotics and Mechatronics group working on medical applications. He conducts his research work at the MIRA Institute for Biomedical Technology and Technical Medicine. Since 2014, he has also been associated with the Netherlands Cancer Institute / Antoni van Leeuwenhoek Hospital. His research interests are in the area of image and video analysis. The work involves specific applications in surgical navigation, medical image analysis and modelling. He is the author of two widely-used textbooks, “Image Based Measurement Systems” and “Classification, Parameter Estimation and State Estimation” (2nd edition published in 2017).

Expertise

Medicine & Life Sciences
# Endoscopes
# Feasibility Studies
# Tongue
Engineering & Materials Science
# Endoscopy
# Imaging Techniques
# Magnetic Resonance
# Magnetic Resonance Imaging
# Surgery

Publications

Recent
Boers, T. G. W., Hu, Y., Gibson, E., Barratt, D. C., Bonmati, E., Krdzalic, J. , van der Heijden, F., Hermans, J. J., & Huisman, H. J. (2020). Interactive 3D U-net for the segmentation of the pancreas in computed tomography scans. Physics in medicine and biology, 65(6), [065002]. https://doi.org/10.1088/1361-6560/ab6f99
Brouwer de Koning, S. G., Riksen, J. J. M., ter Braak, T. P. , van Alphen, M. J. A. , van der Heijden, F. , Schreuder, W. H., Karssemakers, L. H. E., Karakullukcu, M. B., & van Veen, R. L. P. (2020). Utilization of a 3D printed dental splint for registration during electromagnetically navigated mandibular surgery. International journal of computer assisted radiology and surgery, 15(12), 1997-2003. https://doi.org/10.1007/s11548-020-02271-3
Kappert, K. D. R. (2020). Biomechanical models and prediction of mobility after tongue cancer surgery. [PhD Thesis - Research external, graduation UT, University of Twente]. University of Twente. https://doi.org/10.3990/1.9789036550987
Voskuilen, L., de Heer, P., van der Molen, L. , Balm, A. J. M. , van der Heijden, F., Strijkers, G. J., Smeele, L. E., & Nederveen, A. J. (2020). A 12-channel flexible receiver coil for accelerated tongue imaging. Magnetic resonance materials in physics, biology and medicine, 33(4), 581-590. https://doi.org/10.1007/s10334-019-00824-5
van Doeveren, T. E. M., Bouwmans, R., Wassenaar, N. P. M., Schreuder, W. H. , van Alphen, M. J. A. , van der Heijden, F., Tan, I. B., Karakullukçu, M. B., & van Veen, R. L. P. (2020). On the Development of a Light Dosimetry Planning Tool for Photodynamic Therapy in Arbitrary Shaped Cavities: Initial Results. Photochemistry and Photobiology, 96(2), 405-416. https://doi.org/10.1111/php.13216
ter Braak, T. P. , Brouwer de Koning, S. G. , van Alphen, M. J. A. , van der Heijden, F., Schreuder, W. H., van Veen, R. L. P., & Karakullukcu, M. B. (2020). A surgical navigated cutting guide for mandibular osteotomies: accuracy and reproducibility of an image-guided mandibular osteotomy. International journal of computer assisted radiology and surgery, 15(10), 1719-1725. https://doi.org/10.1007/s11548-020-02234-8
Van Leeuwen, K. G., Bos, P., Trebeschi, S. , Van Alphen, M. J. A., Voskuilen, L., Smeele, L. E. , Van Der Heijden, F. , & Van Son, R. J. J. H. (2019). CNN-based phoneme classifier from vocal tract MRI learns embedding consistent with articulatory topology. 909-913. Paper presented at 20th Annual Conference of the International Speech Communication Association: Crossroads of Speech and Language, INTERSPEECH 2019, Graz, Austria. https://doi.org/10.21437/Interspeech.2019-1173
Thomson, B. R., Nijkamp, J., Ivashchenko, O. , Heijden, F. V. D., Smit, J. N., Kok, N. F. M., Kuhlmann, K. F. D. , Ruers, T. J. M., & Fusaglia, M. (2019). Hepatic vessel segmentation using a reduced filter 3D U-Net in ultrasound imaging. Abstract from 2nd International Conference on Medical Imaging with Deep Learning, MIDL 2019, London, United Kingdom. https://arxiv.org/abs/1907.08612
Voskuilen, L., Mazzoli, V., Oudeman, J. , Balm, A. J. M. , van der Heijden, F., Froeling, M., de Win, M. M. L., Strijkers, G. J., Smeele, L. E., & Nederveen, A. J. (2019). Crossing muscle fibers of the human tongue resolved in vivo using constrained spherical deconvolution. Journal of magnetic resonance imaging, 50(1), 96-105. https://doi.org/10.1002/jmri.26609
Sirmaçek, B. , Abayazid, M. , Naghibi Beidokhti, H. , van der Heijden, F., & Dokter, J. (2019). A DEEP REINFORCEMENT LEARNING NETWORK AS A TRAINABLE CANCER STAGING SYSTEM. Abstract from 25th Congress of the European Society of Biomechanics , Vienna, Austria.
van Doremalen, R. F. M., van Netten, J. J., van Baal, J. G. , Vollenbroek-Hutten, M. M. R. , & van der Heijden, F. (2018). Validation of a smartphone-based infrared thermal camera and its possibilities with 3D thermal mapping of diabetic foot ulcer detection. Abstract from 15th Scientific Meeting of the Diabetic Foot Study Group of the EASD, Berlin, Germany.
de Koning, K. J. , van Zandwijk, J. K. , Simonis, F. F. J. , van der Heijden, F. , & Geelkerken, R. H. (2018). Segmentation and registration of pelvic bone structures for fusion of intraoperative If-mri and preoperative mra. Poster session presented at Technical Innovations in Medicine Conference, TIIM 2018, Utrecht, Netherlands.

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University of Twente
Drienerlolaan 5
7522 NB Enschede
The Netherlands

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7500 AE Enschede
The Netherlands

University of Twente Drienerlolaan 5
7522 NB Enschede
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