• 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

Douwe Spaanderman

PhD student, Erasmus MC

Interests

  • Soft-tissue tumors / sarcoma
  • Radiomics
  • Deep Learning
  • Oncology

Education

  • MSc Oncology, 2020

    Vrije Universiteit Amsterdam

Research lines

  • Artificial Intelligence for Integrated Diagnostics (AIID)
  • Applied Medical Image Analysis

Projects

  • AINED AIID
  • The Sarcoma Artificial Intelligence (SAI) consortium

Biography

Research

Douwe Spaanderman started in May 2021 his PhD project, Sarcoma Artificial Intelligence (SAI), about the use of radiomics and deep learning to improve the diagnostic work-up for patients with soft-tissue tumors / sarcoma. For this project, he has worked closely together with the surgical department of the Erasmus Medical Center and various international sarcoma experts.

Currently, he has focussed on developing automatic and interactive deep learning based segmentation methods in order to alleviate the burden of manual annotation required when using radiomics. Additionally, he has validated a radiomics to differentiate between Lipoma and Atypical Lipomatous Tumor. Thereby, bringing this non-invasive biomarker a step closer to clinical implementation.

Looking for an interesting internship or thesis project? Send me an email!

Background

Douwe obtained his bachelor biomedical sciences at the University of Utrecht, and his master degree at the Vrije Universiteit Amsterdam. During his studies, he has enjoyed internship at the Utrecht Medical Center (UMC), University of California: San Francisco (UCSF), and the Dutch Cancer Institute (NKI). In his thesis at the Broad Institute of MIT and Harvard, he focussed on the prediction of culture conditions for primary tumor cell culture and organoids using machine learning.

Aside from research, Douwe is part of the GPU-cluster superuser, managing and optimizing the high-performance computing facility of the BIGR group. In his free time Douwe likes to tennis, bike, cook and watch football.

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