MSc Oncology, 2020
Vrije Universiteit Amsterdam
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.
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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.