A short overview of the professional research I’ve conducted can be found here. This includes non-AI material as well. Also check the Blog page for any noteworthy posts regarding my research.

Carreer profiles

Online AI

PhD Thesis

Scientific publications

This list is not always fully up to date. Please use the Researchgate list for the most recent overview.

  • Bölek, K. A., De Jong, G., Van der Zee, C. E. E. M., van Cappellen van Walsum, A. & Henssen, D. J. H. A. (2021) Mixed‐methods exploration of students’ motivation in using augmented reality in neuroanatomy education with prosected specimens. Anatomical Sciences Education ase.2116.
  • Bölek, K. A., De Jong, G. & Henssen, D. (2021) The effectiveness of the use of augmented reality in anatomy education: a systematic review and meta-analysis. Scientific Reports 11, 15292.
  • de Jong, G., Aquarius, R., Sanaan, B., Bartels, R., Grotenhuis, J., Henssen, D., Boogaarts, H. (2021). Prediction Models in Aneurysmal Subarachnoid Hemorrhage: Forecasting Clinical Outcome With Artificial Intelligence. Neurosurgery.
  • Stam, L. B., Aquarius, R., de Jong, G. A., Slump, C. H., Meijer, F. J. A., Boogaarts, H. D. (2021). A review on imaging techniques and quantitative measurements for dynamic imaging of cerebral aneurysm pulsations. Scientific Reports, 11(1), 2175
  • ter Horst, R., van Weert, H., Loonen, T., Bergé, S., Vinayahalingam, S., Baan, F., Maal, T., de Jong, G., Xi, T. (2021). Three-dimensional virtual planning in mandibular advancement surgery: Soft tissue prediction based on deep learning. Journal of Cranio-Maxillofacial Surgery.
  • de Jong, G., Bijlsma, E., Meulstee, J., Wennen, M., van Lindert, E., Maal, T., Aquarius, R. & Delye, H. (2020). Combining deep learning with 3D stereophotogrammetry for craniosynostosis diagnosis. Scientific Reports, 10(1), 15346.
  • Vinayahalingam, S., Xi, T., Bergé, S., Maal, T., & de Jong, G. (2019). Automated detection of third molars and mandibular nerve by deep learning. Scientific Reports, 9(1), 9007.
    https://doi.org/10.1038/s41598-019-45487-3 & Automated detection of dentition and third molars
  • de Jong, G. A., & Aquarius, R. (2019). Use of artificial neural networks to predict anterior communicating artery aneurysm rupture: possible methodological considerations. European Radiology, 29(5), 2724–2726.
  • Henssen, D. J. H. A., Witkam, R. L., Dao, J. C. M. L., Comes, D. J., Van Cappellen van Walsum, A.-M., Kozicz, T., van Dongen, T., Vissers, K., Bartels, R.H.M.A., de Jong, G.A.. Kurt, E. (2019). Systematic Review and Neural Network Analysis to Define Predictive Variables in Implantable Motor Cortex Stimulation to Treat Chronic Intractable Pain. The Journal of Pain, 20(9), 1015–1026.
  • Henssen, D. J. H. A., den Heuvel, L., De Jong, G., Vorstenbosch, M. A. T. M., Cappellen van Walsum, A., Van den Hurk, M. M., … Bartels, R. H. M. A. (2019). Neuroanatomy Learning: Augmented Reality vs. Cross‐Sections. Anatomical Sciences Education, 13, ase.1912.
  • Meulstee, J. W., de Jong, G. A., Borstlap, W. A., Koerts, G., Maal, T. J. J., & Delye, H. (2019). The normal evolution of the cranium in three dimensions. International Journal of Oral and Maxillofacial Surgery.
  • Janssen Daalen, J. M., Loeffen, D., Martens, J., Sanaan, B., Viering, D. H. H. M., Henssen, D. J. H. A., & de Jong, G. A. (2018). Neurosurgery summer event for students by students: sharing interests. British Journal of Neurosurgery, 33(3), 341–342.
  • Martens, J., de Jong, G., Rovers, M., Westert, G., & Bartels, R. (2018). Importance and Presence of High-Quality Evidence for Clinical Decisions in Neurosurgery: International Survey of Neurosurgeons. Interactive Journal of Medical Research, 7(2), e16.
  • Tolhuisen, M. L., De Jong, G. A., Van Damme, R. J. M., Van Der Heijden, F., & Delye, H. H. K. (2018). Cranial shape comparison for automated objective 3D craniosynostosis surgery planning. Scientific Reports, 8(1).
  • de Jong, G., Tolhuisen, M., Meulstee, J., van der Heijden, F., van Lindert, E., Borstlap, W., … Delye, H. (2017). Radiation-free 3D head shape and volume evaluation after endoscopically assisted strip craniectomy followed by helmet therapy for trigonocephaly. Journal of Cranio-Maxillofacial Surgery, 45(5), 661–671.
  • Meulstee, J. W., Verhamme, L. M., Borstlap, W. A., Van der Heijden, F., De Jong, G. A., Xi, T., … Maal, T. J. J. (2017). A new method for three-dimensional evaluation of the cranial shape and the automatic identification of craniosynostosis using 3D stereophotogrammetry. International Journal of Oral and Maxillofacial Surgery, 46(7), 819–826.
  • van der Stap, N., Voskuilen, L., de Jong, G., Pullens, H. J. M., Schwartz, M. P., Broeders, I., & van der Heijden, F. (2016). A Real-Time Target Tracking Algorithm for a Robotic Flexible Endoscopy Platform. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8899, pp. 81–89).
  • de Jong, G. A., Maal, T. J. J., & Delye, H. (2015). The computed cranial focal point. Journal of Cranio-Maxillofacial Surgery, 43(9), 1737–1742.

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