Martijn Starmans
Assistant Professor AI For Integrated Diagnostics
Rotterdam, South Holland, Netherlands
Summary
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Senior🎓
Top SchoolMartijn Starmans is an assistant professor and PI leading the AI for Integrated Diagnostics group at Erasmus MC, specializing in multi-modal machine learning that fuses radiology and pathology to improve oncologic diagnostics. With nine years of research experience spanning a cum laude PhD on automated radiomics workflows to postdoctoral work on generalization via AutoML and meta-learning, he develops reproducible, open-source tools and large multi-center datasets for clinical translation. His work covers diverse clinical domains—from sarcoma and liver cancer to melanoma and neuroendocrine tumors—reflecting a pragmatic focus on cross-application generalizability. Martijn combines strong technical depth in radiopathomics with hands-on software implementation and teaching, and is active in European consortia like EuCanImage and disease-specific AI networks. An uncommon strength is his track record of releasing both a 932-patient radiomics database and the full codebase used in his PhD studies, demonstrating commitment to transparency and reproducibility.
9 years of coding experience
Nature & Technology, 8.2, Nature & Technology, 8.2 at Gymnasium FelisenumMaster of Science (MS), Applied Physics, Master of Science (MS), Applied Physics at Delft University of Technology
Dutch, English
Github Skills (21)
feature-extraction10
classification10
docker9
3d-images9
medical-imaging9
python8
mkdocs7
sphinx7
image-analysis6
open-science6
sphinx-doc6
reproducible-research5
markdown5
segmentation4
cpp4
Programming languages (5)
Github contributions (5)
MStarmans91/WORC
May 2017 - Nov 2022
Workflow for Optimal Radiomics Classification
Contributions:32 releases, 1 review, 512 commits in 5 years 6 months
classification
MStarmans91/WORCTutorial
Jul 2018 - Apr 2022
Tutorial for the WORC Package
Contributions:46 commits, 23 PRs, 49 pushes in 3 years 9 months
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