• Home
  • News
  • Research
    • AI for Prostate and Breast Cancer Analysis
    • Applied Medical Image Analysis
    • Artificial Intelligence for Integrated Diagnostics (AIID)
    • Computational Population Biology
    • Eye Image Analysis Group Rotterdam
    • Image guidance in interventions and therapy
    • Neuroimage Analysis & Machine Learning
    • Quantitative MR reconstruction
    • Biomedical Imaging Research Infrastructure
    • AI in Medical Image Analysis
    • Musculoskeletal Image Analysis
  • Projects
  • Collaborations
  • Team
    • Full team
    • Alumni
  • Thesis gallery
  • Join us
  • Contact

Mohamed Benmahdjoub

Postdoctoral Researcher, Erasmus MC

Personal website

Interests

  • Augmented reality
  • Surgical navigation
  • 3D Perception
  • Human-computer interaction
  • Computer vision

Education

  • PhD thesis: augmented reality surgical navigation: Alignment and 3D Perception, 2024

    Erasmus MC

  • MSc in Visual computing, 2017

    Université des Science et de la Technologie Houari Boumediene (USTHB)

Research lines

  • Image guidance in interventions and therapy

Projects

  • 3D Lab
  • Smart Surgery Lab – eXtended Reality

Biography

Mohamed Benmahdjoub graduated in Computer Science at USTHB (Université des sciences et de la Technologie Houari Boumediene - Algiers, Algeria) in 2017. He worked on semantic web (Conception and Implementation of a multilingual ontology on language disorders) in his bachelor (2015), and addressed the feasibility of intraoperative augmented reality (AR) for Arthroplasty at IMASCAP (Brest, France) in his master’s thesis (2017).

He joined Erasmus MC and the Oral and Maxillofacial department in October 2018 as a PhD candidate under the supervision of Dr. ir. Theo van Walsum, Prof. Dr. E.B. (Eppo) Wolvius, and Prof. dr. Wiro Niessen Wiro J. Niessen. In his PhD thesis, he developed AR systems for surgical navigation and investigated the potential of AR for surgical navigation. In particular, he built and assessed new methods for image-to-patient alignment, 3D visualization, and depth perception in the context of intraoperative surgical guidance.

He defended his thesis titled I See Through… You - Augmented Reality Surgical Navigation: Alignment and 3D Perception in June 2024.

Currently, he is a postdoctoral researcher within BIGR, the cardio-thoracic surgery and and oncology departments. He is working on the INSIDE project to enable the visualizion of lesions’ location in lung surgery during endoscopic interventions.

His interests are Augented/Mixed/Virtual reality, image guidance and navigation, visualization and computer vision, human-computer interaction.

Publications

  • Hizirwan Salim, Abdullah Thabit, Theo van Walsum, Sem Hoogteijling, Maryse A. van ’t Klooster, Maeike Zijlmans, Mohamed Benmahdjoub. “Super-resolution for Localizing Electrode grids as Small, Deformable Objects during Epilepsy Surgery Using Augmented Reality Headsets”. Int J CARS (2025).
  • Jiaqi Tang, Abdullah Thabit, Theo van Walsum, Ricardo Marroquim, Mohamed Benmahdjoub. “Manual Registration in AR-Assisted Surgical Navigation: A Comparative Evaluation”. Int J CARS (2025).
  • Kerkhof, E., Thabit, A., Benmahdjoub, M. et al. Depth-based registration of 3D preoperative models to intraoperative patient anatomy using the HoloLens 2. Int J CARS (2025). https://doi.org/10.1007/s11548-025-03328-x
  • Mohamed Benmahdjoub. PhD thesis “I See Through… You: Augmented reality surgical navigation: alignment and 3D perception”. (2024).
  • Abdullah Thabit, Maartje Eijssen, Mohamed Benmahdjoub, Bart Cornelissen, Mark G. van Vledder, and Theo van Walsum “Augmented reality guidance for rib fracture surgery: a feasibility study”, Proc. SPIE 12928, Medical Imaging 2024: Image-Guided Procedures, Robotic Interventions, and Modeling, 129280Z (29 March 2024); https://doi.org/10.1117/12.3004160
  • Benmahdjoub M., Thabit A., Niessen W. J., Wolvius E. B., Van Walsum T. “Fiducial markers detection trained exclusively on synthetic data for image-to-patient alignment in HMD-based surgical navigation,” 2023 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), Sydney, Australia, 2023, pp. 429-434, doi: 10.1109/ISMAR-Adjunct60411.2023.00091.
  • Benmahdjoub M., Thabit A., van Veelen MLC., Niessen WJ., Wolvius EB., Walsum T van. Evaluation of AR visualization approaches for catheter insertion into the ventricle cavity. IEEE Trans Vis Comput Graph 2023;(01):1–12. Doi: 10.1109/TVCG.2023.3247042.
  • Benmahdjoub M., Niessen WJ., Wolvius EB., Walsum T van. Multimodal markers for technology-independent integration of augmented reality devices and surgical navigation systems. Virtual Real 2022;26(4):1637–50. Doi: 10.1007/s10055-022-00653-3.
  • Thabit A., Benmahdjoub M., van Veelen MLC., Niessen WJ., Wolvius EB., van Walsum T. Augmented reality navigation for minimally invasive craniosynostosis surgery: a phantom study. Int J Comput Assist Radiol Surg 2022;17(8):1453–60. Doi: 10.1007/S11548-022-02634-Y/TABLES/5.
  • Benmahdjoub M., Niessen WJ., Wolvius EB., Van Walsum T. Virtual extensions improve perception-based instrument alignment using optical see-through devices. IEEE Trans Vis Comput Graph 2021;27(11):4332–41. Doi: 10.1109/TVCG.2021.3106506.
  • Wooning J., Benmahdjoub M., Van Walsum T., Marroquim R. AR-Assisted Craniotomy Planning for Tumour Resection. Eurographics Work Vis Comput Biol Med 2021. Doi: 10.2312/vcbm.20211353.
  • Benmahdjoub M., van Walsum T., van Twisk P., Wolvius EB. Augmented reality in craniomaxillofacial surgery : added value and proposed recommendations through a systematic review of the literature. Int J Oral Maxillofac Surg 2020;(November). Doi: 10.1016/j.ijom.2020.11.015.

© BIGR, 2024 · Partially powered by the Academic theme for Hugo.