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

Guest Associate Professor

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
Hofmeijer, E. I. S., Wu, S. C., Vliegenthart, R. , Slump, C. H. , van der Heijden, F., & Tan, C. O. (2023). Artificial CT images can enhance variation of case images in diagnostic radiology skills training. Insights into Imaging, 14(1), Article 186. https://doi.org/10.1186/s13244-023-01508-4
Groot Lipman, K. B. W., de Gooijer, C. J., Boellaard, T. N. , van der Heijden, F., Beets-Tan, R. G. H., Bodalal, Z., Trebeschi, S., & Burgers, J. A. (2023). Artificial intelligence-based diagnosis of asbestosis: analysis of a database with applicants for asbestosis state aid. European radiology, 33(5), 3557-3565. https://doi.org/10.1007/s00330-022-09304-2
Hofmeijer, E. I. S., Tan, C. O. , Heijden, F. V. D., & Gupta, R. (2023). Crowd-Sourced Deep Learning for Intracranial Hemorrhage Identification: Wisdom of Crowds or Laissez-Faire. American journal of neuroradiology, 44(7), 762-767. https://doi.org/10.3174/ajnr.A7902
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), Article 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
Smit, M., Pisani, L. , Van der Heijden, F., Paulus, F., Beenen, L., Schultz, M., & Bos, L. (2019). Lung ultrasound aeration semi quantification in invasively ventilated ICU patients - an alternative to B-line counting. European respiratory journal, 54, Article PA4017. https://doi.org/10.1183/13993003.congress-2019.PA4017
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

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Affiliated Study Programmes

Master

Courses Academic Year  2023/2024

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.
 

Contact Details

Visiting Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Carré (building no. 15), room C3611
Hallenweg 21
7522NH  Enschede
The Netherlands

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Mailing Address

University of Twente
Faculty of Electrical Engineering, Mathematics and Computer Science
Carré  C3611
P.O. Box 217
7500 AE Enschede
The Netherlands