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Myrthe Buser

Technical physician - PhD student
Artificial Intelligence and image-guided surgery of pediatric renal tumors.
Phone 06 24 92 27 15





Artificial Intelligence (AI) is the core of my PhD project. I aim to identify places in our extensive research and clinical workflows where AI can be used to aid or extend current applications. Currently, my main focus is on the automated creation of 3D models, making 3D technology faster and cheaper to implement. Hopefully, this will make the 3D technology as created by my colleagues accessible to more children.  

Using AI in children has specific challenges, mainly the rarity of the diseases in combination with the high variance between each child. We are working on several techniques to mitigate these effects. To interest the AI community for the important field of pediatric oncology we hosted an AI competition in 2023 (SPPIN Challenge).   

  • Direct correlation of MR-DWI and histopathology of Wilms’ tumours through a patient-specific 3D-printed cutting guide

    • aug. 2024
    • Justine N., van der Beek, et al
    • European Radiology
  • Multi-modal 3-Dimensional Visualization of Pediatric Neuroblastoma

    • feb. 2024
    • Dominique C, Simons, et al
    • Journal of Pediatric Surgery
  • Tracked ultrasound registration for intraoperative navigation during pediatric bone tumor resections with soft tissue components: a porcine cadaver study

    • nov. 2023
    • J M, van der Zee, et al
    • International journal of computer assisted radiology and surgery
  • Radiologic versus Segmentation Measurements to Quantify Wilms Tumor Volume on MRI in Pediatric Patients

    • apr. 2023
    • Myrthe A D, Buser, et al
    • Cancers
View all publications